Mistral: Mistral Nemo
Analysis Summary
Mistral Nemo is a text-to-text model with a 131K context window, documented tool use, and function calling. Input is listed at $0.019 per million tokens and output at $0.03 per million tokens, giving it one of the lowest operating costs in this batch. No benchmark results are supplied for reasoning, coding, instruction following, or agentic reliability, so its actual production quality remains unverified.
The combination of long context and connected actions could suit document routing, structured extraction, SEO metadata, tagging, and other high-volume text workflows. Function calling provides a basis for integrations, but schemas, retries, and output validation would be important because benchmark evidence is absent. Text-only operation means image and visual brief tasks need another model.
Test Nemo on a representative workload before deployment. It is a compelling low-cost candidate for constrained automation, but not a proven choice for nuanced content strategy or autonomous engineering.
Assessed August 9, 2026
Editorial notes
Mistral Nemo offers a 131K context window, tool use, and function calling at exceptionally low listed prices. It has no benchmark data in this entry, so it is best positioned for constrained text automation rather than complex client-facing reasoning.
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DFO Verdict
Mistral Nemo offers a 131K context window, tool use, and function calling at exceptionally low listed prices. It has no benchmark data in this entry, so it is best positioned for constrained text automation rather than complex client-facing reasoning.
How Mistral: Mistral Nemo compares
Its 131K-token context window is larger than 51% of the models we list. At $0.02 per million input tokens it is cheaper than 80% of comparable models.
Dark bar = input · light bar = output, scaled to the priciest peer.
1M tokens ≈ 8 full-length novels or ~2,500 pages of business documents in a single request.
Strongest on value. The pulled-in technical corner is the trade-off, and if the shape matters more than the price, this is your model.
Compare shapes side-by-side →Pricing
| Token Type | Cost per 1M tokens | Cost per 1K tokens |
|---|---|---|
| Input | $0.02 | $0.000019 |
| Output | $0.03 | $0.000030 |
What would Mistral: Mistral Nemo cost your business?
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A website chatbot handling around 100 customer conversations a day, a few short messages each.
Full calculator with 688 models → Price Calculator
These numbers get smaller with the right architecture.
We route routine calls to cheap models and save Mistral: Mistral Nemo for the hard ones. Most clients cut their estimate by 60-80%.
Talk to our teamAbout Mistral: Mistral Nemo
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,..
Frequently asked questions about Mistral: Mistral Nemo
How much does Mistral: Mistral Nemo cost?
Mistral: Mistral Nemo costs $0.02 per million input tokens and $0.03 per million output tokens.
What is the context window of Mistral: Mistral Nemo?
Mistral: Mistral Nemo has a context window of 131,072 tokens (131K).
What can Mistral: Mistral Nemo do?
Mistral: Mistral Nemo supports tool use and function calling.
Who created Mistral: Mistral Nemo?
Mistral: Mistral Nemo is developed by Mistral and was released on July 19, 2024.
