Mistral: Mistral Nemo
Analysis Summary
Mistral Nemo is a text model released in 2024, with a 131K context window and listed support for tool use and function calling. Its input and output prices are low, but no benchmark results are provided for this entry. As a result, its reasoning, coding, content quality, and reliability in multi-step tool workflows remain unverified by the supplied data.
The combination of long context and low pricing makes it a reasonable candidate for a controlled test of high-volume document processing or straightforward automation. Those advantages do not establish that it can consistently follow complex instructions or make reliable tool decisions. For client work, begin with bounded use cases and human review, then expand only if internal testing demonstrates dependable results.
Assessed September 23, 2026
Editorial notes
Mistral Nemo lists a 131K context window, tool use, and function calling at very low token prices. No benchmark results are supplied, so teams should validate its output quality and tool reliability before deployment.
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DFO Verdict
Mistral Nemo lists a 131K context window, tool use, and function calling at very low token prices. No benchmark results are supplied, so teams should validate its output quality and tool reliability before deployment.
How Mistral: Mistral Nemo compares
Its 131K-token context window is larger than 50% of the models we list. At $0.03 per million input tokens it is cheaper than 76% 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.
Pricing
| Token Type | Cost per 1M tokens | Cost per 1K tokens |
|---|---|---|
| Input | $0.03 | $0.000029 |
| 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 722 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 $0.03 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.