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mistral-nemotron Free API on NVIDIA NIM

Free API Verified
Catalog profile Profile provider catalog metadata

mistral-nemotron is available through NVIDIA NIM with 8K context and OpenAI Chat Completions API access.

Free APIOpenAI compatible
API Details

Copy-ready connection details

Use these values in your client or SDK.
Base URL
https://integrate.api.nvidia.com/v1
Model ID
mistralai/mistral-nemotron
API format OpenAI Chat Completions
Technical Details

mistral-nemotron specifications

Provider catalog
Context window 8K
Max output 4K
Status Online
Last updated Jun 29, 2026
Free listing since Jun 29, 2026
Input text
Output text
AI Recommendation

Should you use mistral-nemotron?

mistral-nemotron is listed for chat workloads and supports a 8K context window.

Use it when NVIDIA NIM's free tier is enough for evaluation, demos, or light production traffic.

Best for
  • Chat
Strengths & Weaknesses

Strengths

  • Live API verification available

Watch outs

  • Vision support is not listed
  • Tool calling is not confirmed
Pricing

mistral-nemotron pricing per 1M tokens

Free tier listed
Input $0 per 1M tokens
Output $0 per 1M tokens
Free access Available NVIDIA NIM
Availability

mistral-nemotron availability by provider

Current provider only

We only found this mistral-nemotron listing on NVIDIA NIM in the current catalog. Use the related models section for nearby alternatives.

Provider Model listing Access Context API Limits
NVIDIA NIM mistralai/mistral-nemotron Free tier 8K Native Varies
View NVIDIA NIM setup guide →
Typical Use Cases

mistral-nemotron use cases

Chat

mistral-nemotron is tagged for chat in this catalog and works with OpenAI-compatible client libraries.

FAQ

mistral-nemotron free API FAQ

Is mistral-nemotron free to use?

mistral-nemotron is listed with free API access on NVIDIA NIM, subject to the provider's quota and account policy.

What is the mistral-nemotron model ID?

The model ID shown in this catalog is mistralai/mistral-nemotron.

What context window does mistral-nemotron support?

The listed context window is 8K tokens with up to 4K output tokens.