Other-modelfamilie

Bekijk 13 modellen in de Other-familie en vergelijk context, API-prijzen, modaliteiten en mogelijkheden.

13gevolgde modellen

Modellenoverzicht

13 modellen in deze weergave

Vergelijken

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…

Context
10K
Invoer
US$ 0,00
Uitvoer
US$ 0,00
TekstAfbeelding
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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…

Context
33K
Invoer
US$ 0,00
Uitvoer
US$ 0,00
Tekst
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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.

Context
262K
Invoer
US$ 0,05
Uitvoer
US$ 0,20
Tekst
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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.

Context
256K
Invoer
US$ 0,00
Uitvoer
US$ 0,00
TekstAudioAfbeeldingVideo
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Actief

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

Context
262K
Invoer
US$ 0,085
Uitvoer
US$ 0,40
Tekst
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Actief

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

Context
512K
Invoer
US$ 0,60
Uitvoer
US$ 3,6
Tekst
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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…

Context
0
Invoer
US$ 3,33
Uitvoer
US$ 0,00
Audio
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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.

Context
262K
Invoer
US$ 0,08
Uitvoer
US$ 0,20
Tekst
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NVIDIA: Nemotron Nano 12B 2 VL (free) is included in the AIToolly model catalog.

Context
128K
Invoer
US$ 0,00
Uitvoer
US$ 0,00
AfbeeldingTekstVideo
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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.

Context
128K
Invoer
US$ 0,00
Uitvoer
US$ 0,00
Tekst
Model bekijken
Actief

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…

Context
0
Invoer
US$ 1.500
Uitvoer
US$ 0,00
Audio
Model bekijken
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