Mistral Nemo
Version: 1
Key capabilities
About this model
Mistral Nemo is a cutting-edge Language Model (LLM) boasting state-of-the-art reasoning, world knowledge, and coding capabilities within its size category.Key model capabilities
Agent-centric. Mistral Nemo possesses top-tier agentic capabilities, including native function calling and JSON outputting. Advanced Reasoning. Mistral Nemo demonstrates state-of-the-art mathematical and reasoning capabilities within its size category. Multilingual proficiency. Mistral Nemo is equipped with a new tokenizer, Tekken, designed for multilingual applications. It supports over 100 languages, including but not limited to English, French, German, Spanish, Italian, Chinese, Japanese, Korean, Portuguese, Dutch, Polish, and many more.Use cases
See Responsible AI for additional considerations for responsible use.Key use cases
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Prompts and completions are passed through a default configuration of Azure AI Content Safety classification models to detect and prevent the output of harmful content. Learn more about Azure AI Content Safety . Configuration options for content filtering vary when you deploy a model for production in Azure AI; learn more .Pricing
Pricing is based on a number of factors, including deployment type and tokens used. See pricing details here.Technical specs
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Agent-centric. Mistral Nemo possesses top-tier agentic capabilities, including native function calling and JSON outputting.Supported languages
Multilingual proficiency. Mistral Nemo is equipped with a new tokenizer, Tekken, designed for multilingual applications. It supports over 100 languages, including but not limited to English, French, German, Spanish, Italian, Chinese, Japanese, Korean, Portuguese, Dutch, Polish, and many more. Tekken has proven to be more efficient than the Llama 3 tokenizer in compressing text for approximately 85% of all languages, with significant improvements in Malayalam, Hindi, Arabic, and prevalent European languages.Sample JSON response
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Training, testing and validation
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Distribution channels
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Safety techniques
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Acceptable use policy
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Source: Mistral AI The provider has not supplied this information.Benchmarking methodology
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Source: Mistral AI The provider has not supplied this information.Model Specifications
Context Length131072
LicenseCustom
Last UpdatedOctober 2025
Input TypeText
Output TypeText
ProviderMistral AI
Languages11 Languages