token.app › Mistral AI › Mistral Large 2407
Mistral Large 2407 pricing & benchmarks
Mistral Large 2407 is available from Mistral AI at $2.00 per million input tokens and $6.00 per million output tokens ($3.00 blended at 3:1). It accepts up to 131,072 tokens of context. This is Mistral AI's flagship model, Mistral Large 2 (version mistral-large-2407). It's a proprietary weights-available model and excels at reasoning, code, JSON, chat, and more. Read the launch announcement [here](https://mistral.ai/news/m…
Pricing
Per million tokens · OpenRouter
Input$2.00
Output$6.00
Blended (3:1)$3.00
Specification
mistralai/mistral-large-2407
Context window131K
Max output—
ReleasedNov 2024
LicenceProprietary
Modalitiesin:text, in:file, out:text
Benchmarks
Independently run — not vendor self-reports. Every score links its source.
| Benchmark | Score | Config | Run | Source |
|---|---|---|---|---|
| GPQA Diamond | 49.0% ±2.6 | — | 2025-01-27 | Independently run · Epoch AI |
| OTIS Mock AIME | 8.5% ±2.5 | — | 2025-02-25 | Independently run · Epoch AI |
Scores published by Epoch AI, 'AI Benchmarking Hub', used under CC BY 4.0.
Cheaper models that score at least as well on GPQA Diamond
Strictly lower blended price AND an equal-or-higher GPQA Diamond score. One benchmark is one dimension — a model that wins here may still be weaker at your specific task.
| Model | Provider | Blended $/1M | GPQA Diamond | |
|---|---|---|---|---|
| gpt-oss-120b | OpenAI | $0.070 (−98%) | 75.8% | Compare → |
| Phi 4 | Microsoft | $0.088 (−97%) | 56.1% | Compare → |
| DeepSeek V4 Flash 0731 | DeepSeek | $0.113 (−96%) | 91.0% | Compare → |
| GPT-5 Nano | OpenAI | $0.138 (−95%) | 69.4% | Compare → |
| Llama 4 Scout | Meta | $0.150 (−95%) | 51.8% | Compare → |
Compare Mistral Large 2407
FAQ
How much does Mistral Large 2407 cost?
Mistral Large 2407 costs $2.00 per million input tokens and $6.00 per million output tokens on OpenRouter. At a 3:1 input:output mix that blends to $3.00 per million tokens.
What is Mistral Large 2407's context window?
Mistral Large 2407 accepts up to 131,072 tokens of context.
How good is Mistral Large 2407 on benchmarks?
Mistral Large 2407 scores 49.0% on GPQA Diamond, independently run and published by Epoch AI. 2 benchmark results are listed on this page, each with its run date and source.
Is there a cheaper model as good as Mistral Large 2407?
Yes — 5 models in our catalogue cost less per token than Mistral Large 2407 and score at least as high on the same benchmark. The cheapest is gpt-oss-120b at $0.070 per million tokens blended.