マルチモーダル向けAIモデル

A flagship GPT-5.6 model listed for complex reasoning, coding and multi-step agent workflows.

コンテキスト

1.05M

入力

$2.5

出力

$15

A lower-cost GPT-5.6 model for high-volume chat, classification and lightweight agent workflows.

コンテキスト

1.05M

入力

$0.20

出力

$1.2

A Sonnet-class model listed for coding, agents and professional knowledge work with adaptive reasoning.

コンテキスト

1M

入力

$2

出力

$10

A fast multimodal Gemini model listed for responsive agent workflows, coding and multi-step reasoning.

コンテキスト

1.05M

入力

$0.375

出力

$1.88

A Grok model listed for coding, knowledge work and STEM tasks with text, image and file input.

コンテキスト

500K

入力

$2

出力

$6

An open-weight vision-language model listed for coding, research, multimodal interaction and agent tasks.

コンテキスト

262K

入力

$0.45

出力

$3.2

A dense instruction model listed for agent workflows, coding and complex professional tasks.

コンテキスト

262K

入力

$1.5

出力

$7.5

A multimodal endpoint listed for workflows that combine reasoning, text and image generation.

コンテキスト

272K

入力

$8

出力

$15

A Gemini endpoint listed for image generation and editing with text and image output.

コンテキスト

131K

入力

$0.50

出力

$3

Runway Aleph 2.0 is an in-context video editing model from Runway. It applies text instructions and keyframe-guided edits across existing footage while preserving details that are not meant to change.…

コンテキスト

0

入力

$0.00

出力

$0.00

Sentence Transformers: all-MiniLM-L12-v2 is included in the AIToolly model catalog.

コンテキスト

512

入力

$0.005

出力

$0.00

Sentence Transformers: all-MiniLM-L6-v2 is included in the AIToolly model catalog.

コンテキスト

512

入力

$0.005

出力

$0.00

Sentence Transformers: all-mpnet-base-v2 is included in the AIToolly model catalog.

コンテキスト

512

入力

$0.005

出力

$0.00

This model always redirects to the latest model in the Anthropic Claude Haiku family.

コンテキスト

200K

入力

$1

出力

$5

This model always redirects to the latest model in the Anthropic Claude Sonnet family.

コンテキスト

1M

入力

$2

出力

$10

Aura-2 is a multilingual text-to-speech model from Deepgram. It supports Deepgram’s canonical Aura-2 voice catalog for speech synthesis across multiple languages.

コンテキスト

0

入力

$30

出力

$0.00

Auto Router (Beta) is a task-aware router from the provider catalog. It classifies each request, then routes it the most popular model for that task based on aggregate spend, filtered by your…

コンテキスト

2M

入力

不明

出力

不明

If you are looking for a model that supports more languages, longer texts, and other retrieval methods, you can try using bge-m3.

コンテキスト

512

入力

$0.005

出力

$0.00

If you are looking for a model that supports more languages, longer texts, and other retrieval methods, you can try using bge-m3.

コンテキスト

512

入力

$0.01

出力

$0.00

In this project, we introduce BGE-M3, which is distinguished for its versatility in Multi-Functionality, Multi-Linguality, and Multi-Granularity.

コンテキスト

8K

入力

$0.01

出力

$0.00

Chirp 3 is Google's latest multilingual speech-to-text model. It offers enhanced transcription accuracy across 24 GA languages and 77+ preview languages, with support for automatic language detection, automatic punctuation, and…

コンテキスト

0

入力

$16,000

出力

$0.00

Claude Fable 5 is a Mythos-class model from Anthropic, built for autonomous knowledge work and coding. It supports text, image, and file inputs with text output, with reasoning support and…

コンテキスト

1M

入力

$10

出力

$50

This model always redirects to the latest model in the Claude Fable family.

コンテキスト

1M

入力

$10

出力

$50

Claude Haiku 4.5 is Anthropic’s fastest and most efficient model, delivering near-frontier intelligence at a fraction of the cost and latency of larger Claude models. Matching Claude Sonnet 4’s performance…

コンテキスト

200K

入力

$1

出力

$5

Claude Opus 4.5 is Anthropic’s frontier reasoning model optimized for complex software engineering, agentic workflows, and long-horizon computer use. It offers strong multimodal capabilities, competitive performance across real-world coding and…

コンテキスト

200K

入力

$5

出力

$25

Opus 4.6 is Anthropic’s strongest model for coding and long-running professional tasks. It is built for agents that operate across entire workflows rather than single prompts, making it especially effective…

コンテキスト

1M

入力

$5

出力

$25

Opus 4.7 is the next generation of Anthropic's Opus family, built for long-running, asynchronous agents. Building on the coding and agentic strengths of Opus 4.6, it delivers stronger performance on…

コンテキスト

1M

入力

$5

出力

$25

Fast-mode variant of Opus 4.7 - identical capabilities with higher output speed at premium 6x pricing.

コンテキスト

1M

入力

$30

出力

$150

Claude Opus 4.8 is Anthropic's most capable generally available model in the Opus family. It supports text, image, and file inputs with text output, with reasoning support and a 1M-token…

コンテキスト

1M

入力

$5

出力

$25

Fast-mode variant of Opus 4.8 - identical capabilities with higher output speed at 2x pricing relative to regular Opus 4.8.

コンテキスト

1M

入力

$10

出力

$50

Claude Opus 5 is Anthropic’s flagship model for demanding reasoning, coding, and long-horizon agentic work. It is particularly strong at end-to-end software tasks, code review and bug finding, visual analysis…

コンテキスト

1M

入力

$5

出力

$25

Fast-mode variant of Opus 5 - identical capabilities with higher output speed at 2x pricing relative to regular Opus 5.

コンテキスト

1M

入力

$10

出力

$50

This model always redirects to the latest model in the Claude Opus family.

コンテキスト

1M

入力

$5

出力

$25

Claude Sonnet 4.5 is Anthropic’s most advanced Sonnet model to date, optimized for real-world agents and coding workflows. It delivers state-of-the-art performance on coding benchmarks such as SWE-bench Verified, with…

コンテキスト

1M

入力

$3

出力

$15

Sonnet 4.6 is Anthropic's most capable Sonnet-class model yet, with frontier performance across coding, agents, and professional work. It excels at iterative development, complex codebase navigation, end-to-end project management with…

コンテキスト

1M

入力

$3

出力

$15

Mistral Codestral Embed is specially designed for code, perfect for embedding code databases, repositories, and powering coding assistants with state-of-the-art retrieval.

コンテキスト

8K

入力

$0.15

出力

$0.00

CSM 1B is a conversational speech model from Sesame. It accepts text input and produces English speech output, with voice options spanning conversational and read-speech styles. At 1B parameters, it…

コンテキスト

4K

入力

$7

出力

$0.00

Dots3-Note Preview is an open-weight mixture-of-experts model from Dots Studio, with 16B active parameters out of 280B total. It is the lightest model in the Dots 3 family and is…

コンテキスト

512K

入力

$0.00

出力

$0.00

Text Embeddings by Weakly-Supervised Contrastive Pre-training. Liang Wang, Nan Yang, Xiaolong Huang, Binxing Jiao, Linjun Yang, Daxin Jiang, Rangan Majumder, Furu Wei, arXiv 2022

コンテキスト

512

入力

$0.005

出力

$0.00

Text Embeddings by Weakly-Supervised Contrastive Pre-training. Liang Wang, Nan Yang, Xiaolong Huang, Binxing Jiao, Linjun Yang, Daxin Jiang, Rangan Majumder, Furu Wei, arXiv 2022

コンテキスト

512

入力

$0.01

出力

$0.00

pplx-embed-v1-0.6B is one of Perplexity's state-of-the-art text embedding models built for real-world, web-scale retrieval. pplx-embed-v1 is optimized for standard dense text retrieval with the 0.6B parameter model targeting lightweight, low-latency…

コンテキスト

32K

入力

$0.004

出力

$0.00

pplx-embed-v1 -4B is one of Perplexity's state-of-the-art text embedding models built for real-world, web-scale retrieval. pplx-embed-v1 is optimized for standard dense text retrieval with the 4B parameter model maximizing retrieval…

コンテキスト

32K

入力

$0.03

出力

$0.00

Flux TTS is a text-to-speech model from Deepgram. It is suited for natural, expressive English speech synthesis across Deepgram's Flux voice catalog.

コンテキスト

0

入力

$0.00

出力

$0.00

FLUX.2 [flex] excels at rendering complex text, typography, and fine details, and supports multi-reference editing in the same unified architecture. Pricing is as follows, per the docs: We charge $0.06…

コンテキスト

67K

入力

$0.00

出力

$0.00

The FLUX.2 [klein] model family are our fastest image models to date. FLUX.2 [klein] unifies generation and editing in a single compact architecture, **delivering state-of-the-art quality with end-to-end inference in as low as under a second**. Built for applications that require real-time image generation without sacrificing quality, and runs on consumer hardware, with as little as 13GB VRAM.

コンテキスト

41K

入力

$0.00

出力

$0.00

FLUX.2 [max] is the new top-tier image model from Black Forest Labs, pushing image quality, prompt understanding, and editing consistency to the highest level yet. Pricing is as follows, [per…

コンテキスト

47K

入力

$0.00

出力

$0.00

A high-end image generation and editing model focused on frontier-level visual quality and reliability. It delivers strong prompt adherence, stable lighting, sharp textures, and consistent character/style reproduction across multi-reference inputs.…

コンテキスト

47K

入力

$0.00

出力

$0.00

FLUX.3 Video is a video generation model from Black Forest Labs. It supports text-to-video, image-guided generation with opening and closing keyframes, and video continuation workflows, making it suited for controlled…

コンテキスト

0

入力

$0.00

出力

$0.00

The simplest way to get free inference. the provider catalog/free is a router that selects free models at random from the models available on the provider catalog. The router smartly filters for models that…

コンテキスト

200K

入力

$0.00

出力

$0.00

Fugu Ultra is the higher-performance model in Sakana AI's Fugu family. Rather than a single monolithic model, Fugu is a learned multi-agent orchestration system: a language model trained to route…

コンテキスト

1M

入力

$5

出力

$30

Gemini 3 Flash Preview is a high speed, high value thinking model designed for agentic workflows, multi turn chat, and coding assistance. It delivers near Pro level reasoning and tool…

コンテキスト

1.05M

入力

$0.50

出力

$3

Gemini 3.1 Flash Lite is Google’s GA high-efficiency multimodal model optimized for low-latency, high-volume workloads. It supports text, image, video, audio, and PDF inputs, and is designed for lightweight agentic…

コンテキスト

1.05M

入力

$0.25

出力

$1.5

Gemini 3.1 Flash Lite Preview is Google's high-efficiency model optimized for high-volume use cases. It outperforms Gemini 2.5 Flash Lite on overall quality and approaches Gemini 2.5 Flash performance across…

コンテキスト

1.05M

入力

$0.25

出力

$1.5

Gemini 3.1 Flash TTS Preview is a text-to-speech model from Google, and a substantial generational step up from Gemini 2.5 Flash TTS. It takes text input and produces audio output…

コンテキスト

33K

入力

$1

出力

$20

Gemini 3.1 Pro Preview is Google’s frontier reasoning model, delivering enhanced software engineering performance, improved agentic reliability, and more efficient token usage across complex workflows. Building on the multimodal foundation…

コンテキスト

1.05M

入力

$2

出力

$12

Gemini 3.1 Pro Preview Custom Tools is a variant of Gemini 3.1 Pro that improves tool selection behavior by preventing overuse of a general bash tool when more efficient third-party…

コンテキスト

1.05M

入力

$2

出力

$12

Gemini 3.5 Flash is Google's high-efficiency multimodal model, bringing near-Pro level coding and reasoning at Flash-tier cost and speed. It is highly optimized for coding proficiency and parallel agentic execution…

コンテキスト

1.05M

入力

$1.5

出力

$9

Gemini 3.5 Flash Lite is a high-efficiency model from Google with upgraded agentic capabilities. It is suited for subagents that execute focused tasks within complex, multi-agent workflows.

コンテキスト

1.05M

入力

$0.30

出力

$2.5

Gemini 3.6 Flash is a high-efficiency model from Google for coding, agentic workflows, and web and app development. It is designed to produce polished outputs with fewer unnecessary edits and…

コンテキスト

1.05M

入力

$0.75

出力

$3.75

gemini-embedding-001 provides a unified cutting edge experience across domains, including science, legal, finance, and coding. This embedding model has consistently held a top spot on the Massive Text Embedding Benchmark…

コンテキスト

20K

入力

$0.15

出力

$0.00

Gemini Embedding 2 is Google's first multimodal embedding model. We currently support mapping text and images into a unified vector space for semantic search and retrieval-augmented generation (RAG). It supports…

コンテキスト

8K

入力

$0.20

出力

$0.00

Gemini Embedding 2 Preview is Google's first multimodal embedding model. We currently support mapping text and images into a unified vector space for semantic search and retrieval-augmented generation (RAG). It…

コンテキスト

8K

入力

$0.20

出力

$0.00

Gemma is a family of open models built by Google DeepMind. Gemma 4 models are multimodal, handling text and image input (with audio supported on E2B, E4B, and 12B) and generating text output. This release includes open-weights models in both pre-trained and instruction-tuned variants. Gemma 4 features a context window of up to 256K tokens and maintains multilingual support in over 140 languages.

コンテキスト

262K

入力

$0.07

出力

$0.34

Gemma is a family of open models built by Google DeepMind. Gemma 4 models are multimodal, handling text and image input (with audio supported on E2B, E4B, and 12B) and generating text output. This release includes open-weights models in both pre-trained and instruction-tuned variants. Gemma 4 features a context window of up to 256K tokens and maintains multilingual support in over 140 languages.

コンテキスト

262K

入力

$0.10

出力

$0.34

Runway Gen-4.5 is a video generation model from Runway for text-to-video and image-to-video workflows. It is designed for cinematic scene creation with strong motion quality, visual fidelity, and prompt adherence.…

コンテキスト

0

入力

$0.00

出力

$0.00

This model is part of the GLM-V family of models, introduced in the paper GLM-4.1V-Thinking and GLM-4.5V: Towards Versatile Multimodal Reasoning with Scalable Reinforcement Learning.

コンテキスト

131K

入力

$0.30

出力

$0.90

GLM-5V-Turbo is Z.ai’s first native multimodal agent foundation model, built for vision-based coding and agent-driven tasks. It natively handles image, video, and text inputs, excels at long-horizon planning, complex coding,…

コンテキスト

203K

入力

$1.2

出力

$4

This model always redirects to the latest model in the Google Gemini Flash family.

コンテキスト

1.05M

入力

$0.375

出力

$1.88

This model always redirects to the latest model in the Google Gemini Pro family.

コンテキスト

1.05M

入力

$2

出力

$12

The gpt-audio model is OpenAI's first generally available audio model. The new snapshot features an upgraded decoder for more natural sounding voices and maintains better voice consistency. Audio is priced…

コンテキスト

128K

入力

$2.5

出力

$10

A cost-efficient version of GPT Audio. The new snapshot features an upgraded decoder for more natural sounding voices and maintains better voice consistency. Input is priced at $0.60 per million…

コンテキスト

128K

入力

$0.60

出力

$2.4

GPT Chat Latest points to OpenAI's stable API alias chat-latest that always resolves to the latest Instant chat model used in ChatGPT. As OpenAI rolls out new Instant model updates…

コンテキスト

400K

入力

$5

出力

$30

OpenAI's GPT Image 1 generates and edits images via the dedicated Images API. Features accurate text rendering, transparent backgrounds, and up to 16 reference images for edits.

コンテキスト

400K

入力

$10

出力

$10

A cost-efficient variant of GPT Image 1 for high-quality image generation at reduced latency and cost via OpenAI's dedicated Images API.

コンテキスト

400K

入力

$2.5

出力

$2.5

OpenAI's latest image generation model. Supports high-fidelity image generation and editing via the dedicated Images API.

コンテキスト

400K

入力

$8

出力

$8

GPT Transcribe is a high-accuracy speech-to-text model from OpenAI. It is suited for recorded audio, streamed file transcription, and committed Realtime turns, with free-form context, keyword hints, and multiple language…

コンテキスト

0

入力

$4,500

出力

$0.00

GPT-4o Mini Transcribe is OpenAI's smaller, cost-efficient speech-to-text model built on GPT-4o Mini audio capabilities. It's priced per token (input and output), making it suitable for high-volume transcription workflows that…

コンテキスト

128K

入力

$1.25

出力

$5

GPT-4o Transcribe is OpenAI's high-quality speech-to-text model built on GPT-4o audio capabilities. It's priced per token (input and output), making it suitable for workflows that benefit from token-level billing transparency.

コンテキスト

128K

入力

$2.5

出力

$10

GPT-5-Codex is a specialized version of GPT-5 optimized for software engineering and coding workflows. It is designed for both interactive development sessions and long, independent execution of complex engineering tasks.…

コンテキスト

400K

入力

$0.625

出力

$5

GPT-5 Image combines OpenAI's GPT-5 model with state-of-the-art image generation capabilities. It offers major improvements in reasoning, code quality, and user experience while incorporating GPT Image 1's superior instruction following,…

コンテキスト

400K

入力

$10

出力

$10

GPT-5 Image Mini combines OpenAI's advanced language capabilities, powered by GPT-5 Mini, with GPT Image 1 Mini for efficient image generation. This natively multimodal model features superior instruction following, text…

コンテキスト

400K

入力

$2.5

出力

$2

GPT-5 Pro is OpenAI’s most advanced model, offering major improvements in reasoning, code quality, and user experience. It is optimized for complex tasks that require step-by-step reasoning, instruction following, and…

コンテキスト

400K

入力

$15

出力

$120

GPT-5.1 is the latest frontier-grade model in the GPT-5 series, offering stronger general-purpose reasoning, improved instruction adherence, and a more natural conversational style compared to GPT-5. It uses adaptive reasoning…

コンテキスト

400K

入力

$1.25

出力

$10

GPT-5.1-Codex is a specialized version of GPT-5.1 optimized for software engineering and coding workflows. It is designed for both interactive development sessions and long, independent execution of complex engineering tasks.…

コンテキスト

400K

入力

$1.25

出力

$10

GPT-5.1-Codex-Max is OpenAI’s latest agentic coding model, designed for long-running, high-context software development tasks. It is based on an updated version of the 5.1 reasoning stack and trained on agentic…

コンテキスト

400K

入力

$1.25

出力

$10

GPT-5.1-Codex-Mini is a smaller and faster version of GPT-5.1-Codex

コンテキスト

400K

入力

$0.25

出力

$2

GPT-5.2 is the latest frontier-grade model in the GPT-5 series, offering stronger agentic and long context perfomance compared to GPT-5.1. It uses adaptive reasoning to allocate computation dynamically, responding quickly…

コンテキスト

400K

入力

$1.75

出力

$14

GPT-5.2 Chat (AKA Instant) is the fast, lightweight member of the 5.2 family, optimized for low-latency chat while retaining strong general intelligence. It uses adaptive reasoning to selectively “think” on…

コンテキスト

128K

入力

$1.75

出力

$14

GPT-5.2 Pro is OpenAI’s most advanced model, offering major improvements in agentic coding and long context performance over GPT-5 Pro. It is optimized for complex tasks that require step-by-step reasoning,…

コンテキスト

400K

入力

$21

出力

$168

GPT-5.2-Codex is an upgraded version of GPT-5.1-Codex optimized for software engineering and coding workflows. It is designed for both interactive development sessions and long, independent execution of complex engineering tasks.…

コンテキスト

400K

入力

$1.75

出力

$14

GPT-5.3-Codex is OpenAI’s most advanced agentic coding model, combining the frontier software engineering performance of GPT-5.2-Codex with the broader reasoning and professional knowledge capabilities of GPT-5.2. It achieves state-of-the-art results…

コンテキスト

400K

入力

$1.75

出力

$14

GPT-5.4 is OpenAI’s latest frontier model, unifying the Codex and GPT lines into a single system. It features a 1M+ token context window (922K input, 128K output) with support for…

コンテキスト

1.05M

入力

$2.5

出力

$15

GPT-5.4 mini brings the core capabilities of GPT-5.4 to a faster, more efficient model optimized for high-throughput workloads. It supports text and image inputs with strong performance across reasoning, coding,…

コンテキスト

400K

入力

$0.75

出力

$4.5

GPT-5.4 nano is the most lightweight and cost-efficient variant of the GPT-5.4 family, optimized for speed-critical and high-volume tasks. It supports text and image inputs and is designed for low-latency…

コンテキスト

400K

入力

$0.20

出力

$1.25

GPT-5.4 Pro is OpenAI's most advanced model, building on GPT-5.4's unified architecture with enhanced reasoning capabilities for complex, high-stakes tasks. It features a 1M+ token context window (922K input, 128K…

コンテキスト

1.05M

入力

$30

出力

$180

GPT-5.5 is OpenAI’s frontier model designed for complex professional workloads, building on GPT-5.4 with stronger reasoning, higher reliability, and improved token efficiency on hard tasks. It features a 1M+ token…

コンテキスト

1.05M

入力

$5

出力

$30

GPT-5.5 Pro is OpenAI’s high-capability model optimized for deep reasoning and accuracy on complex, high-stakes workloads. It features a 1M+ token context window (922K input, 128K output) with support for…

コンテキスト

1.05M

入力

$30

出力

$180

GPT-5.6 Luna Pro is the same underlying model as GPT-5.6 Luna, served with reasoning.mode set to pro for higher-quality responses on complex tasks.

コンテキスト

1.05M

入力

$0.20

出力

$1.2

GPT-5.6 Sol Pro is the same underlying model as GPT-5.6 Sol, served with reasoning.mode set to pro for higher-quality responses on complex tasks.

コンテキスト

1.05M

入力

$2.5

出力

$15

GPT-5.6 Terra is a balanced model in OpenAI's GPT-5.6 series, positioned between the flagship Sol tier and the cost-efficient Luna tier. It is suited for everyday coding, reasoning, and agentic…

コンテキスト

1.05M

入力

$2

出力

$12

GPT-5.6 Terra Pro is the same underlying model as GPT-5.6 Terra, served with reasoning.mode set to pro for higher-quality responses on complex tasks.

コンテキスト

1.05M

入力

$2

出力

$12

Grok 4.20 is a reasoning model from SpaceXAI with industry-leading speed and agentic tool calling capabilities. It combines the lowest hallucination rate on the market with strict prompt adherance, delivering…

コンテキスト

2M

入力

$1.25

出力

$2.5

Grok 4.20 Multi-Agent is a variant of SpaceXAI’s Grok 4.20 designed for collaborative, agent-based workflows. Multiple agents operate in parallel to conduct deep research, coordinate tool use, and synthesize information…

コンテキスト

2M

入力

$1.25

出力

$2.5

Grok 4.3 is a reasoning model from SpaceXAI. It accepts text and image inputs with text output, and is suited for agentic workflows, instruction-following tasks, and applications requiring high factual…

コンテキスト

1M

入力

$1.25

出力

$2.5

Grok 4.5 is a model from SpaceXAI with frontier performance on coding, knowledge work, and STEM.

コンテキスト

500K

入力

$2

出力

$6

Grok Build 0.1 is SpaceXAI’s fast coding model trained specifically for agentic software engineering workflows. It supports text and image inputs with text output, and is optimized for interactive coding…

コンテキスト

256K

入力

$1

出力

$2

Grok Imagine Image 2.0 is an image generation and editing model from xAI. It is suited for creating images from text prompts and editing images from references, with low and…

コンテキスト

66K

入力

$0.00

出力

$0.00

Grok Imagine Image Quality is SpaceXAI's fast, high-fidelity image generation and editing model. It accepts text prompts and optional reference images, producing photorealistic outputs at 1K or 2K across a…

コンテキスト

66K

入力

$0.00

出力

$0.00

Grok Imagine Video is SpaceXAI's fast, text-, image-, and reference-conditioned video generation model. It produces short videos (1–15 seconds, 24 fps) at 480p or 720p across seven aspect ratios -…

コンテキスト

0

入力

$0.00

出力

$0.00

Grok Imagine Video 1.5 is a video generation model from SpaceXAI. It creates videos from text prompts, with an optional starting image to guide the scene. It can direct subject…

コンテキスト

0

入力

$0.00

出力

$0.00

This model always redirects to the latest Grok model from xAI.

コンテキスト

500K

入力

$2

出力

$6

Grok STT is SpaceXAI's speech-to-text model, available via the REST /v1/stt endpoint. It supports transcription with word-level timestamps, optional speaker diarization, and multichannel audio.

コンテキスト

0

入力

$100,000

出力

$0.00

Grok Voice TTS 1.0 is a text-to-speech model from SpaceXAI. It converts text into spoken audio across 20+ languages with automatic language detection, and offers five built-in voices (Eve, Ara,…

コンテキスト

15K

入力

$15

出力

$0.00

General Text Embeddings (GTE) model. Towards General Text Embeddings with Multi-stage Contrastive Learning

コンテキスト

512

入力

$0.005

出力

$0.00

General Text Embeddings (GTE) model. Towards General Text Embeddings with Multi-stage Contrastive Learning

コンテキスト

512

入力

$0.01

出力

$0.00

MiniMax H3 is a lightweight, open-weights video generation model from MiniMax. It is designed for precise multimodal editing and controlled content generation, including instruction-guided edits, text and brand rendering, and…

コンテキスト

0

入力

$0.00

出力

$0.00

Hailuo 2.3 is a video generation model from MiniMax. It accepts text prompts and reference images as input and generates video output, supporting both text-to-video and image-to-video workflows. It is…

コンテキスト

0

入力

$0.00

出力

$0.00

HappyHorse 1.0 is a video generation model from Alibaba. It generates short videos from a text prompt, a single starting image, or a set of reference images, with output up…

コンテキスト

0

入力

$0.00

出力

$0.00

HappyHorse 1.1 is a video generation model from Alibaba. It generates short videos from a text prompt, a single starting image, or a set of reference images, with output up…

コンテキスト

0

入力

$0.00

出力

$0.00

Inkling is a general-purpose multimodal model that accepts text, image and audio inputs and generates text outputs. It is intended for use in English and other languages, and across multiple coding languages. The model is designed to be used by developers building AI-powered applications, including agentic and tool-use systems, coding assistants, chatbots, and retrieval-augmented generation systems, and is suitable for general-purpose conversational use, instruction-following, and other natural language and multimodal tasks. It is released with open weights to support research, fine-tuning and integration into third-party products by downstream developers.

コンテキスト

524K

入力

$0.95

出力

$4.05

Inkling-Small is a general-purpose multimodal model that accepts text, image and audio inputs and generates text outputs. It is intended for use in English and other languages, and across multiple coding languages. The model is designed to be used by developers building AI-powered applications, including agentic and tool-use systems, coding assistants, chatbots, and retrieval-augmented generation systems, and is suitable for general-purpose conversational use, instruction-following, and other natural language and multimodal tasks. It is released with open weights to support research, fine-tuning and integration into third-party products by downstream developers.

コンテキスト

524K

入力

$0.45

出力

$1.2

📰   Tech Blog     |     📄   Paper

コンテキスト

262K

入力

$0.57

出力

$2.85

Kimi K2.6 is an open-source, native multimodal agentic model that advances practical capabilities in long-horizon coding, coding-driven design, proactive autonomous execution, and swarm-based task orchestration.

コンテキスト

262K

入力

$0.95

出力

$4

Kimi K2.7 Code is a coding-focused agentic model built upon Kimi K2.6. With substantial improvements on real-world long-horizon coding tasks, it strengthens end-to-end task completion across complex software engineering workflows while improving token efficiency, reducing thinking-token usage by approximately 30% compared with Kimi K2.6.

コンテキスト

262K

入力

$0.71

出力

$3.5

Kimi K3 is an open-weight, native multimodal agentic model and our most capable model to date. It is a 2.8T-parameter model built on Kimi Delta Attention (KDA) and Attention Residuals (AttnRes), with native vision capabilities and a 1-million-token context window. It is the world's first open 3T-class model, designed for frontier intelligence across long-horizon coding, knowledge work, and reasoning.

コンテキスト

1.05M

入力

$3

出力

$15

Kokoro 82M is a lightweight, open-weight text-to-speech model from hexgrad. It converts text to speech across 8 languages (American and British English, Spanish, French, Hindi, Italian, Japanese, Portuguese, and Chinese)…

コンテキスト

4K

入力

$0.62

出力

$0.00

Krea 2 Large is Krea's high-capability image generation model, more than twice the size of Krea 2 Medium. Its lighter post-training gives images a rawer, more textured, and flexible character,…

コンテキスト

66K

入力

$0.00

出力

$0.00

Krea 2 Medium is Krea's balanced, cost-efficient image generation model and a practical starting point for a broad range of use cases. Its extensive post-training supports stable, consistent generations, with…

コンテキスト

66K

入力

$0.00

出力

$0.00

Krea 2 Medium Turbo is a distilled, speed-focused variant of Krea 2 Medium from Krea. It is designed for rapid iteration and graphic design exploration where fast generation is the…

コンテキスト

66K

入力

$0.00

出力

$0.00

NVIDIA: Llama Nemotron Embed VL 1B V2 (free) is included in the AIToolly model catalog.

コンテキスト

131K

入力

$0.00

出力

$0.00

Llama Nemotron Rerank VL 1B V2 is a 1.7B multimodal reranking model from NVIDIA. It evaluates the relevance of document images and text against user queries, designed for vision RAG…

コンテキスト

10K

入力

$0.00

出力

$0.00

30 second duration clips are priced at $0.04 per clip. Lyria 3 is Google's family of music generation models, available through the Gemini API. With Lyria 3, you can generate…

コンテキスト

1.05M

入力

$0.00

出力

$0.00

Full-length songs are priced at $0.08 per song. Lyria 3 is Google's family of music generation models, available through the Gemini API. With Lyria 3, you can generate high-quality, 48kHz…

コンテキスト

1.05M

入力

$0.00

出力

$0.00

Microsoft's MAI-Image-2.5 is a high-quality image generation model available via Azure AI Foundry. It produces photorealistic and artistic images from text prompts with support for various aspect ratios.

コンテキスト

4K

入力

$5

出力

$0.00

Microsoft's MAI-Image-2.5 is a high-quality image generation model available via Azure AI Foundry. It produces photorealistic and artistic images from text prompts with support for various aspect ratios.

コンテキスト

4K

入力

$5

出力

$0.00

MAI-Transcribe 1.5 is a multilingual speech-to-text model from Microsoft AI. It is suited for captions, call transcription, subtitling, accessibility, and other voice-enabled applications, with reliable transcription across 43 languages, diverse…

コンテキスト

0

入力

$360,000

出力

$0.00

MAI-Voice-2 is an expressive text-to-speech model from Microsoft. It is suited for conversational assistants, media narration, accessibility, education, and other long-form voice applications. It supports 15 languages across 18 locales,…

コンテキスト

0

入力

$22

出力

$0.00

MAI-Voice-2-Flash is a low-latency text-to-speech model from Microsoft for voice agents, assistants, call centers, accessibility, narration, and other interactive applications. It generates expressive 24 kHz mono speech across 15 languages…

コンテキスト

0

入力

$15

出力

$0.00

🤗 HuggingFace  | 📰 Blog  | 🎨 Xiaomi MiMo API Platform  | 🗨️ Xiaomi MiMo Studio  |

コンテキスト

1.05M

入力

$0.14

出力

$0.28

MiniMax-M3 is a native multimodal model with 1M context. It has ~428B parameters and ~23B activated parameters.

コンテキスト

524K

入力

$0.30

出力

$1.2

The largest model in the Ministral 3 family, **Ministral 3 14B** offers frontier capabilities and performance comparable to its larger Mistral Small 3.2 24B counterpart. A powerful and efficient language model with vision capabilities.

コンテキスト

262K

入力

$0.20

出力

$0.20

The smallest model in the Ministral 3 family, **Ministral 3 3B** is a powerful, efficient tiny language model with vision capabilities.

コンテキスト

131K

入力

$0.10

出力

$0.10

A balanced model in the Ministral 3 family, **Ministral 3 8B** is a powerful, efficient tiny language model with vision capabilities.

コンテキスト

262K

入力

$0.15

出力

$0.15

Mistral Embed is a specialized embedding model for text data, optimized for semantic search and RAG applications. Developed by Mistral AI in late 2023, it produces 1024-dimensional vectors that effectively…

コンテキスト

8K

入力

$0.10

出力

$0.00

Mistral Large 3 2512 is Mistral’s most capable model to date, featuring a sparse mixture-of-experts architecture with 41B active parameters (675B total), and released under the Apache 2.0 license.

コンテキスト

262K

入力

$0.50

出力

$1.5

Mistral Small 4 is a powerful hybrid model capable of acting as both a general instruction model and a reasoning model. It unifies the capabilities of three different model families—**Instruct**, **Reasoning** (previously called Magistral), and **Devstral**—into a single, unified model.

コンテキスト

262K

入力

$0.15

出力

$0.60

This model always redirects to the latest model in the MoonshotAI Kimi family.

コンテキスト

975K

入力

$2.6

出力

$13

This is a sentence-transformers model: It maps sentences & paragraphs to a 768 dimensional dense vector space and was designed for **semantic search**. It has been trained on 215M (question, answer) pairs from diverse sources. For an introduction to semantic search, have a look at: SBERT.net - Semantic Search

コンテキスト

512

入力

$0.005

出力

$0.00

Multilingual E5 Text Embeddings: A Technical Report. Liang Wang, Nan Yang, Xiaolong Huang, Linjun Yang, Rangan Majumder, Furu Wei, arXiv 2024

コンテキスト

512

入力

$0.01

出力

$0.00

Muse Glimmer 30B is a dense, open-weight multimodal model from Meta Superintelligence Labs, distilled from Muse Spark and optimized for autonomous agents on consumer hardware. It is suited for long-horizon…

コンテキスト

131K

入力

$0.35

出力

$1.5

Muse Spark 1.1 is a multimodal reasoning model from Meta, built for agentic tasks. It accepts text, images, video, audio, and PDF documents and returns text, with a 1M-token context…

コンテキスト

1.05M

入力

$1.25

出力

$4.25

Muse Spark 1.2 is a reasoning model from Meta, designed for complex agentic tasks. It accepts text, images, video, audio, and PDF documents, returns text, and offers a 1M-token context…

コンテキスト

1.05M

入力

$1.25

出力

$4.25

Gemini 2.5 Flash Image, a.k.a. "Nano Banana," is now generally available. It is a state of the art image generation model with contextual understanding. It is capable of image generation,…

コンテキスト

33K

入力

$0.30

出力

$2.5

Gemini 3.1 Flash Image Preview, a.k.a. "Nano Banana 2," is Google’s latest state of the art image generation and editing model, delivering Pro-level visual quality at Flash speed. It combines…

コンテキスト

66K

入力

$0.50

出力

$3

Nano Banana 2 Lite (Gemini 3.1 Flash Lite Image) is Google's fastest, most cost-efficient Gemini image model, built for high-velocity developer pipelines and rapid-fire visual exploration. It delivers text-to-image generation…

コンテキスト

66K

入力

$0.25

出力

$1.5

Nano Banana Pro is Google’s most advanced image-generation and editing model, built on Gemini 3 Pro. It extends the original Nano Banana with significantly improved multimodal reasoning, real-world grounding, and…

コンテキスト

66K

入力

$2

出力

$12

Nano Banana Pro is Google’s most advanced image-generation and editing model, built on Gemini 3 Pro. It extends the original Nano Banana with significantly improved multimodal reasoning, real-world grounding, and…

コンテキスト

66K

入力

$2

出力

$12

NVIDIA Nemotron 3 Embed 1B is an open text embedding model from NVIDIA, optimized for high-throughput, low-latency retrieval. It is suited for enterprise search, RAG, code retrieval, and agentic retrieval…

コンテキスト

33K

入力

$0.00

出力

$0.00

NVIDIA Nemotron 3 Nano Omni is a multimodal large language model that unifies video, audio, image, and text understanding to support enterprise-grade Q&A, summarization, transcription, and document intelligence workflows. It extends the Nemotron Nano family with integrated video+speech comprehension, Graphical User Interface (GUI), Optical Character Recognition (OCR), and speech transcription capabilities, enabling end-to-end processing of rich enterprise content such as meeting recordings, M&E assets, training videos, and complex business documents. NVIDIA Nemotron 3 Nano Omni was developed by NVIDIA as part of the Nemotron model family.

コンテキスト

256K

入力

$0.00

出力

$0.00

Nemotron 3.5 ASR Streaming Multilingual 0.6B is a speech recognition model from NVIDIA. Its prompt-conditioned, cache-aware FastConformer-RNNT design targets low-latency transcription across more than 40 languages for real-time captioning, voice…

コンテキスト

0

入力

$3.33

出力

$0.00

NVIDIA: Nemotron 3.5 Content Safety (free) is included in the AIToolly model catalog.

コンテキスト

128K

入力

$0.00

出力

$0.00

NVIDIA: Nemotron Nano 12B 2 VL (free) is included in the AIToolly model catalog.

コンテキスト

128K

入力

$0.00

出力

$0.00

🤗 Model &nbsp&nbsp | &nbsp&nbsp 🔀 the provider catalog (Enjoy two weeks free starting June 9!) &nbsp&nbsp | &nbsp&nbsp 💻 Github &nbsp&nbsp | &nbsp&nbsp 🧭 ModelScope &nbsp&nbsp | &nbsp&nbsp 🚀 Nex-AGI

コンテキスト

262K

入力

$0.025

出力

$0.10

🤗 Model &nbsp&nbsp | &nbsp&nbsp 🔀 the provider catalog (Enjoy two weeks free starting June 9!) &nbsp&nbsp | &nbsp&nbsp 💻 Github &nbsp&nbsp | &nbsp&nbsp 🧭 ModelScope &nbsp&nbsp | &nbsp&nbsp 🚀 Nex-AGI

コンテキスト

262K

入力

$0.25

出力

$1

Nova 2 Lite is a fast, cost-effective reasoning model for everyday workloads that can process text, images, and videos to generate text. Nova 2 Lite demonstrates standout capabilities in processing…

コンテキスト

1M

入力

$0.30

出力

$2.5

Amazon Nova Premier is the most capable of Amazon’s multimodal models for complex reasoning tasks and for use as the best teacher for distilling custom models.

コンテキスト

1M

入力

$2.5

出力

$12.5

Deepgram Nova-3 general-purpose speech-to-text model with monolingual and multilingual transcription support.

コンテキスト

0

入力

$4,300

出力

$0.00

This model always redirects to the latest model in the OpenAI GPT family.

コンテキスト

1.05M

入力

$2.5

出力

$15

This model always redirects to the latest model in the OpenAI GPT Mini family.

コンテキスト

400K

入力

$0.75

出力

$4.5

Orpheus 3B is an English text-to-speech model from Canopy Labs, fine-tuned for natural prosody and expressive delivery. It offers 7 preset voices and is suited for narration, voice assistants, and…

コンテキスト

4K

入力

$7

出力

$0.00

Parakeet TDT 0.6B v3 is NVIDIA's 600M-parameter multilingual speech-to-text model built on the FastConformer-TDT architecture. Trained on the Granary dataset (670,000+ hours of audio), it supports automatic language detection across…

コンテキスト

0

入力

$1,500

出力

$0.00

Sentence Transformers: paraphrase-MiniLM-L6-v2 is included in the AIToolly model catalog.

コンテキスト

512

入力

$0.005

出力

$0.00

Perceptron Mk1 (Mark One) is Perceptron's highest-quality vision-language model for video and embodied reasoning.** It accepts image and video inputs paired with natural language queries, and produces detailed visual understanding…

コンテキスト

33K

入力

$0.15

出力

$1.5

Qwen Image 3 is a unified image generation and editing model from Qwen. It supports precise rendering of text and details as small as 10px, along with a richer world…

コンテキスト

66K

入力

$0.00

出力

$0.00

Qwen Image 3 Pro is an image generation and editing model from Qwen. It supports precise rendering of text and details as small as 10px, along with richer world knowledge…

コンテキスト

66K

入力

$0.00

出力

$0.00

Qwen-Audio-3.0-TTS Flash is Alibaba's fast, cost-efficient text-to-speech model, generating spoken audio from text via the DashScope Speech Synthesizer API.

コンテキスト

0

入力

$15

出力

$0.00

Qwen-Audio-3.0-TTS Plus is Alibaba's higher-quality text-to-speech model, generating spoken audio from text via the DashScope Speech Synthesizer API.

コンテキスト

0

入力

$20

出力

$0.00

The Qwen3-ASR family includes Qwen3-ASR-1.7B and Qwen3-ASR-0.6B, which support language identification and ASR for 52 languages and dialects. Both leverage large-scale speech training data and the strong audio understanding capability of their foundation model, Qwen3-Omni. Experiments show that the 1.7B version achieves state-of-the-art performance among open-source ASR models and is competitive with the strongest proprietary commercial APIs. Here are the main features:

コンテキスト

0

入力

$3.33

出力

$0.00

The Qwen3-ASR family includes Qwen3-ASR-1.7B and Qwen3-ASR-0.6B, which support language identification and ASR for 52 languages and dialects. Both leverage large-scale speech training data and the strong audio understanding capability of their foundation model, Qwen3-Omni. Experiments show that the 1.7B version achieves state-of-the-art performance among open-source ASR models and is competitive with the strongest proprietary commercial APIs. Here are the main features:

コンテキスト

0

入力

$7.5

出力

$0.00

Qwen3-ASR-Flash is Alibaba's automatic speech recognition service, built on the Qwen3-Omni foundation and trained on tens of millions of hours of multimodal speech data. The model handles 11 languages —…

コンテキスト

0

入力

$35

出力

$0.00

The Qwen3 Embedding model series is the latest proprietary model of the Qwen family, specifically designed for text embedding and ranking tasks. Building upon the dense foundational models of the Qwen3 series, it provides a comprehensive range of text embeddings and reranking models in various sizes (0.6B, 4B, and 8B). This series inherits the exceptional multilingual capabilities, long-text understanding, and reasoning skills of its foundational model. The Qwen3 Embedding series represents significant advancements in multiple text embedding and ranking tasks, including text retrieval, code retrieval, text classification, text clustering, and bitext mining.

コンテキスト

33K

入力

$0.02

出力

$0.00

The Qwen3 Embedding model series is the latest proprietary model of the Qwen family, specifically designed for text embedding and ranking tasks. Building upon the dense foundational models of the Qwen3 series, it provides a comprehensive range of text embeddings and reranking models in various sizes (0.6B, 4B, and 8B). This series inherits the exceptional multilingual capabilities, long-text understanding, and reasoning skills of its foundational model. The Qwen3 Embedding series represents significant advancements in multiple text embedding and ranking tasks, including text retrieval, code retrieval, text classification, text clustering, and bitext mining.

コンテキスト

33K

入力

$0.01

出力

$0.00

Meet Qwen3-VL — the most powerful vision-language model in the Qwen series to date.

コンテキスト

131K

入力

$0.21

出力

$1.9

Meet Qwen3-VL — the most powerful vision-language model in the Qwen series to date.

コンテキスト

131K

入力

$0.40

出力

$4

Meet Qwen3-VL — the most powerful vision-language model in the Qwen series to date.

コンテキスト

131K

入力

$0.13

出力

$0.52

Meet Qwen3-VL — the most powerful vision-language model in the Qwen series to date.

コンテキスト

131K

入力

$0.20

出力

$2.4

Meet Qwen3-VL — the most powerful vision-language model in the Qwen series to date.

コンテキスト

131K

入力

$0.104

出力

$0.416

Meet Qwen3-VL — the most powerful vision-language model in the Qwen series to date.

コンテキスト

131K

入力

$0.117

出力

$0.455

Meet Qwen3-VL — the most powerful vision-language model in the Qwen series to date.

コンテキスト

131K

入力

$0.18

出力

$2.1

> [!Note] > This repository contains model weights and configuration files for the post-trained model in the Hugging Face Transformers format. > > These artifacts are compatible with Hugging Face Transformers, vLLM, SGLang, KTransformers, etc.

コンテキスト

262K

入力

$0.39

出力

$2.34

The Qwen3.5 native vision-language series Plus models are built on a hybrid architecture that integrates linear attention mechanisms with sparse mixture-of-experts models, achieving higher inference efficiency. In a variety of…

コンテキスト

1M

入力

$0.26

出力

$1.56

Qwen3.5 Plus (April 2026) is a large-scale multimodal language model from Alibaba. It accepts text, image, and video input and produces text output, with a 1M token context window. This…

コンテキスト

1M

入力

$0.30

出力

$1.8

> [!Note] > This repository contains model weights and configuration files for the post-trained model in the Hugging Face Transformers format. > > These artifacts are compatible with Hugging Face Transformers, vLLM, SGLang, KTransformers, etc.

コンテキスト

262K

入力

$0.26

出力

$2.08

> [!Note] > This repository contains model weights and configuration files for the post-trained model in the Hugging Face Transformers format. > > These artifacts are compatible with Hugging Face Transformers, vLLM, SGLang, KTransformers, etc.

コンテキスト

262K

入力

$0.195

出力

$1.56

> [!Note] > This repository contains model weights and configuration files for the post-trained model in the Hugging Face Transformers format. > > These artifacts are compatible with Hugging Face Transformers, vLLM, SGLang, KTransformers, etc.

コンテキスト

262K

入力

$0.225

出力

$1.8

> [!Note] > This repository contains model weights and configuration files for the post-trained model in the Hugging Face Transformers format. > > These artifacts are compatible with Hugging Face Transformers, vLLM, SGLang, KTransformers, etc.

コンテキスト

262K

入力

$0.10

出力

$0.15

The Qwen3.5 native vision-language Flash models are built on a hybrid architecture that integrates a linear attention mechanism with a sparse mixture-of-experts model, achieving higher inference efficiency. Compared to the…

コンテキスト

1M

入力

$0.065

出力

$0.26

> [!Note] > This repository contains model weights and configuration files for the post-trained model in the Hugging Face Transformers format. > > These artifacts are compatible with Hugging Face Transformers, vLLM, SGLang, KTransformers, etc.

コンテキスト

262K

入力

$0.60

出力

$3.6

> [!Note] > This repository contains model weights and configuration files for the post-trained model in the Hugging Face Transformers format. > > These artifacts are compatible with Hugging Face Transformers, vLLM, SGLang, KTransformers, etc.

コンテキスト

262K

入力

$0.14

出力

$1

Qwen3.6 Flash is a fast, efficient language model from Alibaba's Qwen 3.6 series. It supports text, image, and video input with a 1M token context window. Tiered pricing kicks in…

コンテキスト

1M

入力

$0.1875

出力

$1.13

Qwen 3.6 Plus builds on a hybrid architecture that combines efficient linear attention with sparse mixture-of-experts routing, enabling strong scalability and high-performance inference. Compared to the 3.5 series, it delivers…

コンテキスト

1M

入力

$0.325

出力

$1.95

Qwen3.7 Flash is a vision-language reasoning model from Alibaba. It is suited for multimodal agents, visual coding, search, and computer interaction, with strengths in object recognition, spatial understanding, and real-world…

コンテキスト

1M

入力

$0.03

出力

$0.13

Qwen3.7-Plus is a cost-effective model in Alibaba's Qwen3.7 series. It supports text and image input with text output, building on the series' text capabilities with a comprehensive upgrade to its…

コンテキスト

1M

入力

$0.32

出力

$1.28

Qwen3.8 Max is the flagship model in Alibaba's Qwen3.8 series, the general-availability successor to the Qwen3.8 Max Preview. It is a multimodal reasoning model intended for complex reasoning, visual understanding,…

コンテキスト

1M

入力

$2

出力

$6

Recraft V3 is an image generation model from Recraft. It supports text and image inputs with image output at ~1K resolution across multiple aspect ratios. Supports the following image_config parameters:…

コンテキスト

66K

入力

$0.00

出力

$0.00

Recraft V4 is an image generation model from Recraft. It supports text and image inputs with image output at ~1K resolution across multiple aspect ratios. It delivers stronger compositional judgment,…

コンテキスト

66K

入力

$0.00

出力

$0.00

Recraft V4 Pro is an image generation model from Recraft. It supports text and image inputs with image output at ~2K resolution across multiple aspect ratios, double the resolution of…

コンテキスト

66K

入力

$0.00

出力

$0.00

Recraft V4 Pro Vector is the vector (SVG) variant of Recraft V4 Pro. It supports text and image inputs and produces vector image output across multiple aspect ratios at the…

コンテキスト

66K

入力

$0.00

出力

$0.00

Recraft V4 Vector is the vector (SVG) variant of Recraft V4. It supports text and image inputs and produces vector image output across multiple aspect ratios. Compared to the raster…

コンテキスト

66K

入力

$0.00

出力

$0.00

Recraft V4.1 is an image generation model from Recraft tuned for high aesthetics. It supports text and image inputs with image output at ~1K resolution across multiple aspect ratios, with…

コンテキスト

66K

入力

$0.00

出力

$0.00

Recraft V4.1 Pro is an image generation model from Recraft tuned for high aesthetics. It supports text and image inputs with image output at ~2K resolution across multiple aspect ratios…

コンテキスト

66K

入力

$0.00

出力

$0.00

Recraft V4.1 Pro Vector is the vector (SVG) variant of Recraft V4.1 Pro, tuned for high aesthetics. It supports text and image inputs and produces higher-resolution SVG image output across…

コンテキスト

66K

入力

$0.00

出力

$0.00

Recraft V4.1 Utility is a general-purpose image generation model from Recraft. It supports text and image inputs with image output at ~1K resolution across multiple aspect ratios, with typical generation…

コンテキスト

66K

入力

$0.00

出力

$0.00

Recraft V4.1 Utility Pro is a general-purpose image generation model from Recraft. It supports text and image inputs with image output at ~2K resolution across multiple aspect ratios — double…

コンテキスト

66K

入力

$0.00

出力

$0.00

Recraft V4.1 Vector is the vector (SVG) variant of Recraft V4.1, tuned for high aesthetics. It supports text and image inputs and produces SVG image output across multiple aspect ratios,…

コンテキスト

66K

入力

$0.00

出力

$0.00

**Reka Edge** is an extremely efficient 7B multimodal vision-language model that accepts image/video+text inputs and generates text outputs. This model is optimized specifically to deliver industry-leading performance in image understanding, video analysis, object detection, and agentic tool-use.

コンテキスト

16K

入力

$0.10

出力

$0.10

Riverflow V2 Fast is the fastest variant of Sourceful's Riverflow 2.0 lineup, best for production deployments and latency-critical workflows. The Riverflow 2.0 series represents SOTA performance on image generation and…

コンテキスト

8K

入力

$0.00

出力

$0.00

Riverflow V2 Pro is the most powerful variant of Sourceful's Riverflow 2.0 lineup, best for top-tier control and perfect text rendering. The Riverflow 2.0 series represents SOTA performance on image…

コンテキスト

8K

入力

$0.00

出力

$0.00

Riverflow V2.5 Fast is the speed-optimized variant of Sourceful's Riverflow 2.5 lineup, best for production deployments and latency-critical workflows. The Riverflow 2.5 series is a unified text-to-image and image-to-image family…

コンテキスト

33K

入力

$0.00

出力

$0.00

Riverflow V2.5 Pro is the most powerful variant of Sourceful's Riverflow 2.5 lineup, best for top-tier control and quality-sensitive outputs. The Riverflow 2.5 series is a unified text-to-image and image-to-image…

コンテキスト

33K

入力

$0.00

出力

$0.00

S1 is a multilingual text-to-speech model from Fish Audio. It is suited for voice applications that need broad emotional expression, using parenthetical controls to guide speaking style across its supported…

コンテキスト

0

入力

$15

出力

$0.00

S2 Pro is a multilingual text-to-speech model from Fish Audio. It is suited for expressive narration and multi-speaker dialogue, with natural-language controls for speaking style and emotion.

コンテキスト

0

入力

$15

出力

$0.00

S2.1 Pro is a production-oriented text-to-speech model from Fish Audio. It is suited for multilingual voice applications, expressive narration, and dialogue synthesis, with open-ended natural-language controls for speaking style and…

コンテキスト

0

入力

$15

出力

$0.00

S2.1 Pro Free is the no-cost variant of Fish Audio S2.1 Pro, intended for testing, prototyping, and low-volume applications. It provides the same synthesis capabilities without production latency or availability…

コンテキスト

0

入力

$0.00

出力

$0.00

Sakana Namazu is a Japanese-specialized reasoning model from Sakana AI, based on Kimi K2.6 with additional training for Japanese language and business contexts. It is suited for Japanese instruction following,…

コンテキスト

262K

入力

$0.95

出力

$4

Seed 1.6 is a general-purpose model released by the ByteDance Seed team. It incorporates multimodal capabilities and adaptive deep thinking with a 256K context window.

コンテキスト

262K

入力

$0.25

出力

$2

Seed 1.6 Flash is an ultra-fast multimodal deep thinking model by ByteDance Seed, supporting both text and visual understanding. It features a 256k context window and can generate outputs of…

コンテキスト

262K

入力

$0.075

出力

$0.30

Seed 2.1 Turbo is a multimodal model from ByteDance Seed for coding and long-horizon agent workflows. It is suited for end-to-end software delivery, multi-step task execution, and understanding visual and…

コンテキスト

262K

入力

$0.50

出力

$2.5

Seed 2.0 Code is a model from ByteDance Seed optimized for agentic coding. It is suited for frontend development, multilingual programming tasks, and coding-agent workflows in tools such as Claude…

コンテキスト

262K

入力

$0.50

出力

$3

Seed-2.0-Lite is a versatile, cost‑efficient enterprise workhorse that delivers strong multimodal and agent capabilities while offering noticeably lower latency, making it a practical default choice for most production workloads across…

コンテキスト

262K

入力

$0.25

出力

$2

Seed-2.0-mini targets latency-sensitive, high-concurrency, and cost-sensitive scenarios, emphasizing fast response and flexible inference deployment. It delivers performance comparable to ByteDance-Seed-1.6, supports 256k context, four reasoning effort modes (minimal/low/medium/high), multimodal understanding,…

コンテキスト

262K

入力

$0.10

出力

$0.40

ByteDance's next-generation audio-visual generation model with a 4.5B parameter Dual-Branch Diffusion Transformer architecture. Seedance 1.5 Pro generates video and audio simultaneously in a single unified pass — eliminating the timing…

コンテキスト

0

入力

$0.00

出力

$0.00

Seedance 2.0 is a video generation model from ByteDance. It supports text-to-video, image-to-video with first and last frame control, and multimodal reference-to-video. It is particularly strong at preserving character consistency,…

コンテキスト

0

入力

$0.00

出力

$0.00

Seedance 2.0 Fast is a video generation model from ByteDance. It supports text-to-video, image-to-video with first and last frame control, and multimodal reference-to-video. It prioritizes generation speed and lower cost…

コンテキスト

0

入力

$0.00

出力

$0.00

Seedance 2.0 Mini is a video generation model from ByteDance. It supports text-to-video, image-to-video with first and last frame control, and multimodal reference-to-video with image, video, and audio inputs. It…

コンテキスト

0

入力

$0.00

出力

$0.00

Seedance 2.5 is a video generation model from ByteDance. It is suited for long-form storytelling, multimodal reference-based generation, video editing, and video extension. It supports first-frame and first-and-last-frame control, up…

コンテキスト

0

入力

$0.00

出力

$0.00

Seedream 4.5 is the latest in-house image generation model developed by ByteDance. Compared with Seedream 4.0, it delivers comprehensive improvements, especially in editing consistency, including better preservation of subject details,…

コンテキスト

4K

入力

$0.00

出力

$0.00

Seedream 5.0 Lite is an image generation model from ByteDance Seed. It is suited for professional visual creation that benefits from web-connected retrieval, complex-prompt comprehension, visual references, and broad knowledge…

コンテキスト

0

入力

$0.00

出力

$0.00

Seedream 5.0 Pro is an image generation and editing model from ByteDance Seed. It is suited for commercial visual-production workflows that require precise editing control, lifelike scenes, and natural rendering.

コンテキスト

0

入力

$0.00

出力

$0.00

Exclusively available on the the provider catalog API, Sonar Pro's new Pro Search mode is Perplexity's most advanced agentic search system. It is designed for deeper reasoning and analysis. Pricing is based…

コンテキスト

200K

入力

$3

出力

$15

OpenAI's flagship video generation model, delivering production-quality video with physics-accurate motion, synchronized audio, and world-state persistence across shots. Sora 2 Pro follows intricate multi-shot instructions while maintaining consistent spatial relationships…

コンテキスト

0

入力

$0.00

出力

$0.00

MiniMax Speech 2.8 HD is a text-to-speech model from MiniMax. It is suited for applications that generate spoken audio from text and accepts arbitrary MiniMax voice IDs.

コンテキスト

0

入力

$100

出力

$0.00

MiniMax Speech 2.8 Turbo is a text-to-speech model from MiniMax. It is suited for applications that generate spoken audio from text and accepts arbitrary MiniMax voice IDs.

コンテキスト

0

入力

$60

出力

$0.00

Step 3.7 Flash is StepFun's latest high-efficiency multimodal Mixture-of-Experts model. It pairs a 196B-parameter language backbone with a vision encoder for native image and video understanding, activating roughly 11B parameters…

コンテキスト

256K

入力

$0.20

出力

$1.15

text-embedding-3-large is OpenAI's most capable embedding model for both english and non-english tasks. Embeddings are a numerical representation of text that can be used to measure the relatedness between two…

コンテキスト

8K

入力

$0.13

出力

$0.00

text-embedding-3-small is OpenAI's improved, more performant version of the ada embedding model. Embeddings are a numerical representation of text that can be used to measure the relatedness between two pieces…

コンテキスト

8K

入力

$0.02

出力

$0.00

text-embedding-ada-002 is OpenAI's legacy text embedding model.

コンテキスト

8K

入力

$0.10

出力

$0.00

Transcribe 1 is a speech-to-text model from Fish Audio. It is suited for audio transcription with automatic language detection and can return timestamped word-level segments when alignment details are requested.

コンテキスト

0

入力

$100

出力

$0.00

Google's state-of-the-art video generation model, built for maximum visual fidelity in final production cuts. Veo 3.1 generates high-quality 1080p video from text or image prompts with native synchronized audio —…

コンテキスト

0

入力

$0.00

出力

$0.00

Google's mid-tier video generation model balancing speed and quality. Veo 3.1 Fast generates high-quality video from text or image prompts with native synchronized audio, offering faster turnaround than Veo 3.1…

コンテキスト

0

入力

$0.00

出力

$0.00

Google's most cost-effective video generation model, designed for high-volume applications and rapid iteration. Veo 3.1 Lite generates 720p and 1080p video from text or image prompts with native synchronized audio…

コンテキスト

0

入力

$0.00

出力

$0.00

Kling Video O1 is a video generation model from Kuaishou. It supports text and image inputs with video output, enabling text-to-video and image-to-video workflows. It is suited for cinematic content…

コンテキスト

0

入力

$0.00

出力

$0.00

Kling v3.0 Pro is Kuaishou's premium video generation model, offering higher visual quality than the Standard tier. It supports text-to-video and image-to-video workflows, with first-frame and last-frame control for precise…

コンテキスト

0

入力

$0.00

出力

$0.00

Kling v3.0 Standard is a video generation model from Kuaishou. It supports text-to-video and image-to-video workflows, with first-frame and last-frame control for guided scene composition. Clips range from 3 to…

コンテキスト

0

入力

$0.00

出力

$0.00

Voxtral Mini is an enhancement of Ministral 3B, incorporating state-of-the-art audio input capabilities while retaining best-in-class text performance. It excels at speech transcription, translation and audio understanding.

コンテキスト

0

入力

$16.67

出力

$0.00

Voxtral Mini Transcribe is Mistral's speech-to-text model, derived from the Voxtral Mini family. It accepts audio input and returns transcribed text via the standard transcription API. Suited for transcribing meetings,…

コンテキスト

0

入力

$3,000

出力

$0.00

Voxtral Mini TTS is Mistral's text-to-speech model featuring zero-shot voice cloning and multilingual support. It converts text input into natural-sounding audio output.

コンテキスト

4K

入力

$16

出力

$0.00

Voxtral Small is an enhancement of Mistral Small 3, incorporating state-of-the-art audio input capabilities while retaining best-in-class text performance. It excels at speech transcription, translation and audio understanding.

コンテキスト

32K

入力

$0.10

出力

$0.30

Voxtral Small is an enhancement of Mistral Small 3, incorporating state-of-the-art audio input capabilities while retaining best-in-class text performance. It excels at speech transcription, translation and audio understanding.

コンテキスト

0

入力

$50

出力

$0.00

voyage-4 is a general-purpose (including multilingual) embedding model optimized for retrieval/search and AI applications. voyage-4 supports embeddings in 2048, 1024, 512, and 256 dimensions, with multiple quantization options. Learn more…

コンテキスト

32K

入力

$0.06

出力

$0.00

voyage-4-large is a state-of-the-art general-purpose and multilingual embedding optimized for retrieval quality. Enabled by Matryoshka learning and quantization-aware training, voyage-4-large supports embeddings in 2048, 1024, 512, and 256 dimensions, with…

コンテキスト

32K

入力

$0.12

出力

$0.00

voyage-4-lite is a lightweight, general-purpose embedding model optimized for low latency and cost. Enabled by Matryoshka learning and quantization-aware training, voyage-4-lite supports embeddings in 2048, 1024, 512, and 256 dimensions,…

コンテキスト

32K

入力

$0.02

出力

$0.00

voyage-code-4 is a code embedding model from Voyage AI, a MongoDB company. It is designed for coding agents and code retrieval, with Matryoshka embeddings at 2048, 1024, 512, and 256…

コンテキスト

32K

入力

$0.12

出力

$0.00

voyage-multimodal-3.5 is a state-of-the-art multimodal embedding model capable of vectorizing not only text, images, and video individually, but also content that interleaves all three modalities. It delivers excellent performance for…

コンテキスト

32K

入力

$0.12

出力

$0.00

Alibaba's most advanced video generation model, supporting over 10 visual creation capabilities in a unified system. Wan 2.6 generates 1080p video at 24fps from text, images, reference videos, or audio,…

コンテキスト

0

入力

$0.00

出力

$0.00

Wan 2.7 is a video generation model from Alibaba. It supports text-to-video, image-to-video with first and last frame control, and reference-to-video, where multiple reference images guide the style and content…

コンテキスト

0

入力

$0.00

出力

$0.00

Whisper is OpenAI's open-source automatic speech recognition model, available via API as whisper-1. It supports transcription and translation across 50+ languages from audio files up to 25 MB. Accepts formats…

コンテキスト

0

入力

$6,000

出力

$0.00

Whisper is a state-of-the-art model for automatic speech recognition (ASR) and speech translation, proposed in the paper Robust Speech Recognition via Large-Scale Weak Supervision by Alec Radford et al. from OpenAI. Trained on >5M hours of labeled data, Whisper demonstrates a strong ability to generalise to many datasets and domains in a zero-shot setting.

コンテキスト

0

入力

$7.5

出力

$0.00

Whisper is a state-of-the-art model for automatic speech recognition (ASR) and speech translation, proposed in the paper Robust Speech Recognition via Large-Scale Weak Supervision by Alec Radford et al. from OpenAI. Trained on >5M hours of labeled data, Whisper demonstrates a strong ability to generalise to many datasets and domains in a zero-shot setting.

コンテキスト

0

入力

$3.33

出力

$0.00