Mistral Large 2: Pricing, Context, and Benchmarks
Mistral Large 2 is Mistral AI's Mistral Large model released on 2024-07-24. It runs on a 128K-token context window, priced at $2.00/M input and $6.00/M output. Mistral's flagship. Particularly strong on multilingual tasks (European languages).
Specifications
| Provider | Mistral AI |
|---|---|
| Family | Mistral Large |
| Released | 2024-07-24 |
| Status | active |
| Context window | 128K tokens |
| Max output | 8K tokens |
| Modalities | text |
| Capabilities | function calling json mode streaming |
| Tokenizer | mistral |
| API endpoint | https://api.mistral.ai/v1/chat/completions |
| Documentation | Official docs ↗ |
| Last updated | 2026-05-29 |
Benchmark scores
| Benchmark | Category | Score | Measured | Source |
|---|---|---|---|---|
| HumanEval | coding | 92.0 | 2024-07-24 | ↗ |
| MMLU | general | 84.0 | 2024-07-24 | ↗ |
Scores reflect single measurements on the date shown. Reproducibility varies; consult the linked source for methodology. Use the comparison tool for side-by-side analysis.
Cost calculator
For 1,000 tokens of input and 1,000 tokens of output per call, this model costs $0.0080 per call. For typical usage:
| Workload | Tokens / call (in/out) | $/call | $/1K calls | $/1M calls |
|---|---|---|---|---|
| Short Q&A | 200 / 100 | $0.001000 | $1.00 | $1,000 |
| Standard chat | 1K / 500 | $0.005000 | $5.00 | $5,000 |
| RAG with retrieval | 4K / 500 | $0.011000 | $11.00 | $11,000 |
| Long doc summary | 20K / 1K | $0.046000 | $46.00 | $46,000 |
| Long context (100K input) | 100K / 2K | $0.209000 | $209.00 | $209,000 |
For more precise estimates including caching discounts, use the LLM API Cost Calculator.
Other Mistral AI models
Common comparisons
- Mistral Large 2 vs GPT-4.1 Side-by-side specs, pricing, and benchmarks
- Mistral Large 2 vs o3 Side-by-side specs, pricing, and benchmarks
- Mistral Large 2 vs Qwen3-Coder-480B Side-by-side specs, pricing, and benchmarks
- Mistral Large 2 vs GPT-4o Side-by-side specs, pricing, and benchmarks
API setup
curl https://api.mistral.ai/v1/chat/completions \
-H "Authorization: Bearer $API_KEY" \
-H "Content-Type: application/json" \
-d '{"model": "mistral-large-2", "messages": [{"role": "user", "content": "Hello"}]}'
See the official documentation for the full request/response schema. For pre-flight token counting before paying, use the appropriate token counter.