Mistral Large Pricing
BalancedMistral · 128K tokens context
Mistral Large from Mistral costs $2.00 per 1 million input tokens and $6.00 per 1 million output tokens as of May 2026 (live OpenRouter data). The model supports a 128,000-token context window (approximately 96,000 words) with a 4K-token maximum output. A typical 1,000-token request costs $0.0020 in input charges; a 10,000-token request costs $0.0200.
| Input price | $2.00 / 1M tokens |
|---|---|
| Output price | $6.00 / 1M tokens |
| Output / input ratio | 3.0× |
| Context window | 128,000 tokens (~96,000 words) |
| Maximum output | 4,096 tokens |
| Cost per 1K tokens (input) | $0.0020 |
| Tier | Balanced |
| Last verified |
Mistral Large is Mistral AI's flagship model — a strong open-weight competitor that offers competitive performance at a lower price than GPT-4o. Particularly strong at coding and European languages.
Input Price
$2.00
per 1 million tokens
Output Price
$6.00
per 1 million tokens
Context Window
128K tokens
max 4K output
Cost Examples
| Request Type | Tokens | Input Cost | Output Cost |
|---|---|---|---|
| 1,000 word article | 1,333 | $0.00267 | $0.0024 |
| 10-page document (2,500 words) | 3,333 | $0.00667 | $0.006 |
| 1,000 lines of code | 5,000 | $0.01 | $0.009 |
| 100K token document | 100,000 | $0.20 | $0.18 |
Output cost estimated at 30% of input token count. Use the calculator for exact figures.
Strengths
- ✓Strong multilingual performance (especially European languages)
- ✓Competitive coding benchmark scores
- ✓Lower cost than OpenAI equivalents
- ✓Function calling and JSON mode support
Limitations
- –Smaller ecosystem and fewer integrations
- –Lower output limit than frontier models
Best Use Cases
Calculate Mistral Large Costs
Use the TokenRate calculator to convert any budget, token count, or text into exact Mistral Large costs — and compare across all models.
Open Calculator →Mistral Large — FAQ
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