Nvidia Models

3 modelsGeneral models free to startUp to 131K context

All 3 Nvidia Models

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Nvidia models on AIHubMix with input and output modalities, context length, maximum output, price per million tokens including cache read and cache write rates, and measured throughput and latency.
Modalities
nemotron-3.5-content-safety-freeTakes text, vision, returns text.131KFreeFree/M
nvidia/Llama-3_1-Nemotron-Ultra-253B-v1$0.5$0.5/M
nvidia/llama-3.1-nemotron-70b-instruct$0.6$0.6/M

Prices are USD per million tokens; cache read and cache write are the rates for prompt-cache hits and for writing a prompt into the cache. Throughput and latency are measured on AIHubMix — the same figures the model detail page shows — not vendor claims. A dash means the catalog does not publish that field for that model, which is not the same as the model not supporting it.

Nvidia on AIHubMix

Which Nvidia model should I start with?

nemotron-3.5-content-safety-free is free on input — the cheapest entry here that declares a token price, and it carries a 131K context. Move up to nvidia/llama-3.1-nemotron-70b-instruct when answer quality matters more than cost.

Which of these models reason before answering?

1 of the 3 models here declare a reasoning phase — they work through the problem before producing an answer, which helps on multi-step problems at the cost of extra output tokens. Use the Reasoning filter above the table to see them. The catalog does not record anything further about how they differ, so this page does not sort them into families.

Why are there several entries for the same model?

Because each row is a route you can call, not a model release. Some IDs name an upstream (azure-, alicloud-, cc-), some are the open-weight repository form (nvidia/…), and some differ only in capitalisation, kept so older integrations keep working.

The catalog does not carry a field saying which of those a given row is, so this page does not sort them into buckets it would have to invent. Every row shows that route’s own price, context and speed — compare those directly, and open a model to see the upstreams that serve it.

Do I need a separate Nvidia account?

No. One AIHubMix key covers every model on this page, and switching between them is a change to the model string — billing, rate limits, and logs stay in one place.

Start calling Nvidia in one line

One key, one endpoint, 750 models across 29 model authors.