Mistral: Mistral Nemo
Mistral Nemo is a compact model with a large 131K context window and tool use support, but no benchmark data is available; at very low pricing it may suit lightweight tasks, but capability cannot be verified for business-critical use.
Assessment date: March 12, 2026
Our methodology takes into account a range of factors including pricing, functionality, capabilities, benchmark performance, and real-world applicability. Rankings are reviewed and updated regularly as new models are released. Issues with our rankings? Contact us
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, Korean, Arabic, and Hindi. It supports function calling and is released under the Apache 2.0 license.
Capabilities
Architecture
| Modality | Text → Text |
| Tokenizer | Mistral |
| Instruct Type | mistral |
Model Information
Pricing
| Token Type | Cost per 1M tokens | Cost per 1K tokens |
|---|---|---|
| Input | $0.02 | $0.000020 |
| Output | $0.04 | $0.000040 |
Live Performance
Live endpoint metrics — refreshed every 30 minutes.
