Mistral's top commercial model. Built by Mistral AI.
Prices updated
Input price
$2.00
per 1M tokens · Standard
Output price
$6.00
per 1M tokens · Standard
Input limit
128K
tokens
Output limit
102K
tokens
Input formats
Output formats
Mistral Large price history
12 price records since 4/1/2026 · 10 changes
Overview
What is Mistral Large?
Mistral Large is a text & reasoning model from Mistral AI. Mistral's top commercial model. Its 128K context window and $2.00 input price make it a candidate for quality-focused production applications.
Benchmarks
Mistral Large benchmarks & speed
How Mistral Large scores on standardized evaluations, and where it lands among every model we track.
5.8
Intelligence Index
Reasoning
GPQA Diamond
35.1%
Graduate-level scientific reasoning · top 96%
HLE
3.5%
Humanity's Last Exam · top 95%
Independent scores from Artificial Analysis and DesignArena · updated 10/5/2026. Higher is better; ranks compare against every model we track with that score.
Rates
Mistral Large pricing
Pricing is based on token usage. Provider-specific caching, batch, regional, and tool charges may affect the final cost.
Input · Standard
$2.00
Per 1M tokens
Cached input · Standard
$0.20
Per 1M tokens
Capabilities
Mistral Large Tools
Tools available when using Mistral Large through supported provider APIs.
Function calling
Supported
Structured outputs
Supported
JSON mode
Supported
Reasoning
Not supported
Built-in web search
Not supported
Log probabilities
Not supported
Deterministic seed
Supported
Parallel tool calls
Not supported
Prompt caching
Supported
Where to run it
Mistral Large API providers
2 providers serve Mistral Large. Prices are per 1M tokens; uptime is the last 24 hours.
| Provider | Input | Output | Cached | Context | Uptime |
|---|---|---|---|---|---|
| Mistral | $2.00 | $6.00 | $0.20 | 128K | 99.99% |
| Mistral | $2.20 | $6.60 | $0.22 | 128K | 100% |
- Input
- $2.00
- Output
- $6.00
- Cached
- $0.20
- Context
- 128K
- Uptime
- 99.99%
- Input
- $2.20
- Output
- $6.60
- Cached
- $0.22
- Context
- 128K
- Uptime
- 100%
Strengths and limitations
Strengths
- Measured results (AA Intelligence 5.8 · Arena Elo 1189 · MMLU-Pro 71.8%) position it for demanding production work.
- A 128K 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 128K 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.
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Peer set
