Mistral Large 3 2512
by Mistral · mistralai/mistral-large-2512 · #156 cheapest of 325 paid models
Prices updated Jul 22, 2026, 2:52 AM UTC · refreshed hourly
Mistral Large 3 2512 is Mistral’s most capable model to date, featuring a sparse mixture-of-experts architecture with 41B active parameters (675B total), and released under the Apache 2.0 license.
Compare vs:Claude Sonnet 5Claude Opus 4.6Claude Haiku 4.5GPT-5.6 Sol
Pricing
Input
$0.50
per 1M tokens
Output
$1.50
per 1M tokens
Blended (3:1)
$0.75
3 input : 1 output
Cache read
$0.05
per 1M cached tokens
Cache write
—
per 1M tokens
Cache & batch economics
Effective prices for Mistral Large 3 2512 with prompt caching.
| Cache hit rate | Effective blended $/1M | Example request* | vs no cache |
|---|---|---|---|
| 0% | $0.75 | $0.0525 | — |
| 50% | $0.581 | $0.03 | −43% |
| 90% | $0.446 | $0.012 | −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 | $0.0007 | $0.7 |
| Document summary | 8,000 | 1,000 | $0.0055 | $5.50 |
| Codebase question (RAG) | 30,000 | 2,000 | $0.018 | $18.00 |
| Long-context analysis | 150,000 | 5,000 | $0.0825 | $82.50 |
Performance
Intelligence Index
15.9
AA composite quality
Coding Index
20.1
Math Index
—
Agentic Index
5.5
Output speed
—
median
Time to first token
—
median
Time to first answer
—
after reasoning tokens
Design Arena Elo
| Category | Elo |
|---|---|
| Website | 1,189 |
| UI components | 1,143 |
| Data viz | 1,173 |
| SVG | 1,039 |
| 3D | 1,158 |
| Game dev | 1,138 |
| Code categories | 1,175 |
| ASCII art | 1,111 |
Specs
Context window
262K
tokens
Max output
—
tokens
Input modalities
text, image, file
Tokenizer
Mistral