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Mistral: Mistral Nemo
Free allowance
Up to250requests / hour
via LLM7
- 60 requests / minute
- 100,000 tokens / day
A 12B parameter model with a 128k token context length built by Mistral in collaboration with NVIDIA. The model is multilingual, supporting English, French, German, Spanish, Italian, Portuguese, Chinese, Japanese,...
- Input
- text
- Output
- text
Providers
Available through 1 free provider. Use the model ID and API settings below to connect.
* The provider match may differ from this model. Check its docs for details.
Benchmarks
Compare scores and explore results by category.
No benchmark results are available for this model yet.
Frequently asked questions
Free access, setup, and what to expect.
Mistral: Mistral Nemo is available with up to 250 requests / hour free through LLM7. Additional limits apply at the same time: 60 requests / minute and 100,000 tokens / day. Free allowances can change. Check the Mistral: Mistral Nemo provider limits before you start.
To use Mistral: Mistral Nemo, choose one of the listed Mistral: Mistral Nemo API providers and follow the provider’s account and API-key setup guide. Copy the Mistral: Mistral Nemo model ID and connection settings for your chosen provider into your app or API client. Model IDs can differ between providers. API requests go directly to the provider; Free Models is a comparison site.
Mistral: Mistral Nemo accepts text as listed input formats. Listed output formats include text. Image or audio input support does not imply image or audio generation. Check the chosen provider’s Mistral: Mistral Nemo documentation for supported file types and request formats.
Mistral: Mistral Nemo has a listed context window of 131K tokens. Tokens are small pieces of content rather than a word count. Instructions, conversation history, and other inputs use context space, and the response also needs room. The maximum output length for Mistral: Mistral Nemo may be smaller than the context window and can vary by provider.
Mistral: Mistral Nemo has tool calling support listed; reasoning support isn’t listed. Reasoning enables additional processing for complex problems. Tool calling allows a model to request functions that your app executes. Check the chosen provider’s documentation for capability availability and setup.
No benchmark results are listed for Mistral: Mistral Nemo yet. Missing scores don’t establish poor performance. Compare scores within the same benchmark: coding indexes, Elo ratings, and win rates measure different things. The index comparison charts include only scored free models listed on Free Models. Evaluate Mistral: Mistral Nemo on examples from your own task alongside context size and provider limits.