Mistral Large
by Mistral · mistralai/mistral-large · #240 cheapest of 325 paid models
Prices updated Jul 22, 2026, 1:31 AM UTC · refreshed hourly
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/mistral-large-2407/)....
Compare vs:Claude Sonnet 5Claude Opus 4.6Claude Haiku 4.5GPT-5.6 Sol
Pricing
Input
$2.00
per 1M tokens
Output
$6.00
per 1M tokens
Blended (3:1)
$3.00
3 input : 1 output
Cache read
$0.20
per 1M cached tokens
Cache write
—
per 1M tokens
Cache & batch economics
Effective prices for Mistral Large with prompt caching.
| Cache hit rate | Effective blended $/1M | Example request* | vs no cache |
|---|---|---|---|
| 0% | $3.00 | $0.21 | — |
| 50% | $2.33 | $0.12 | −43% |
| 90% | $1.78 | $0.048 | −77% |
*Example: 100K sticky context + 2K new input + 1K output. Batch discount is an approximate 50% off list rates (available for OpenAI / Anthropic / Google — not flagged for this creator). Confirm on the vendor’s pricing page.
What a request costs
| Workload | Input tokens | Output tokens | Cost / request | Cost / 1K requests |
|---|---|---|---|---|
| Short chat message | 500 | 300 | $0.0028 | $2.80 |
| Document summary | 8,000 | 1,000 | $0.022 | $22.00 |
| Codebase question (RAG) | 30,000 | 2,000 | $0.072 | $72.00 |
| Long-context analysis | 150,000 | 5,000 | $0.33 | $330.00 |
Performance
Intelligence Index
4.4
AA composite quality
Coding Index
—
Math Index
—
Agentic Index
—
Output speed
0 tok/s
median
Time to first token
0s
median
Time to first answer
0s
after reasoning tokens
Artificial Analysis benchmarks
| Benchmark | Score |
|---|---|
| MMLU-Pro | 51.5% |
| GPQA Diamond | 35.1% |
| Humanity's Last Exam | 3.4% |
| LiveCodeBench | 17.8% |
| SciCode | 20.8% |
| MATH-500 | 52.7% |
| AIME | 0.0% |
Specs
Context window
128K
tokens
Max output
—
tokens
Input modalities
text, file
Tokenizer
Mistral