Mistral Nemo
mistral-nemoA 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,... Built by Mistral AI.
Prices updated
Input price
$0.02
per 1M tokens · Standard
Output price
$0.03
per 1M tokens · Standard
Input limit
131K
tokens
Output limit
16K
tokens
Input formats
Output formats
Mistral Nemo price history
2 price records since 9/25/2026
Mistral Nemo cost calculator
$0.53/month
Standard pricing
Overview
What is Mistral Nemo?
Mistral Nemo is a text & reasoning model from Mistral AI. 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,... Its 131K context window and $0.02 input price make it a candidate for cost-sensitive, high-throughput applications.
Rates
Mistral Nemo pricing
Pricing is based on token usage. Provider-specific caching, batch, regional, and tool charges may affect the final cost.
Input · Standard
$0.02
Per 1M tokens
Cached input · Standard
Not available
No listed cached-input rate
Capabilities
Mistral Nemo Tools
Tools available when using Mistral Nemo through supported provider APIs.
Function calling
Supported
Structured outputs
Supported
JSON mode
Supported
Reasoning
Not supported
Built-in web search
Not supported
Log probabilities
Supported
Deterministic seed
Supported
Parallel tool calls
Not supported
Prompt caching
Not supported
Strengths and limitations
Strengths
- Low input cost at $0.02 per million tokens suits high-volume workloads.
- A 131K context window covers most focused application workflows.
- Supports text & reasoning workloads in one model.
Limitations
- Real-world cost still depends on prompt length, response length and provider-specific billing rules.
- The 131K context window is smaller than several long-context alternatives.
- Arena Elo and MMLU-Pro are directional; test accuracy, latency and reliability on your own workload before committing.
Arena Elo, MMLU-Pro and pricing figures are illustrative; validate current vendor terms before purchase.
Same provider