NVIDIA AIモデル

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

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

Nemotron-3-Nano-30B-A3B-BF16 is a large language model (LLM) trained from scratch by NVIDIA, and designed as a unified model for both reasoning and non-reasoning tasks. It responds to user queries and tasks by first generating a reasoning trace and then concluding with a final response. The model's reasoning capabilities can be configured through a flag in the chat template. If the user prefers the model to provide its final answer without intermediate reasoning traces, it can be configured to do so, albeit with a slight decrease in accuracy for harder prompts that require reasoning. Conversely, allowing the model to generate reasoning traces first generally results in higher-quality final solutions to queries and tasks.

コンテキスト

262K

入力

$0.05

出力

$0.20

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

> Use temperature=1.0 and top_p=0.95 across **all tasks and serving backends** — reasoning, tool calling, and general chat alike.

コンテキスト

262K

入力

$0.085

出力

$0.40

For more details on how to deploy and use the model - see the Quick Start Guide below!

コンテキスト

512K

入力

$0.60

出力

$3.6

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™ is a family of open models with open weights, training data, and recipes, delivering leading efficiency and accuracy for building specialized AI agents.

コンテキスト

262K

入力

$0.08

出力

$0.20

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

NVIDIA-Nemotron-Nano-9B-v2 is a large language model (LLM) trained from scratch by NVIDIA, and designed as a unified model for both reasoning and non-reasoning tasks. It responds to user queries and tasks by first generating a reasoning trace and then concluding with a final response. The model's reasoning capabilities can be controlled via a system prompt. If the user prefers the model to provide its final answer without intermediate reasoning traces, it can be configured to do so, albeit with a slight decrease in accuracy for harder prompts that require reasoning. Conversely, allowing the model to generate reasoning traces first generally results in higher-quality final solutions to queries and tasks.

コンテキスト

128K

入力

$0.00

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