Mistral Large 3 2512 (batch)
by Mistral · mistralai/mistral-large-2512:batch · #126 cheapest of 422 paid models
Prices updated Sep 19, 2026, 6:21 PM 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
$0.25
per 1M tokens
Output
$0.75
per 1M tokens
Blended (3:1)
$0.375
3 input : 1 output
Cache read
$0.025
per 1M cached tokens
Cache write
—
per 1M tokens
Cache & batch economics
Effective prices for Mistral Large 3 2512 (batch) with prompt caching.
| Cache hit rate | Effective blended $/1M | Example request* | vs no cache |
|---|---|---|---|
| 0% | $0.375 | $0.0263 | — |
| 50% | $0.291 | $0.015 | −43% |
| 90% | $0.223 | $0.006 | −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 | $0.00035 | $0.35 |
| Document summary | 8,000 | 1,000 | $0.00275 | $2.75 |
| Codebase question (RAG) | 30,000 | 2,000 | $0.009 | $9.00 |
| Long-context analysis | 150,000 | 5,000 | $0.0412 | $41.25 |
Performance
Intelligence Index
9.7
AA composite quality
Coding Index
20.1
Math Index
—
Agentic Index
2.4
Output speed
—
median
Time to first token
—
median
Time to first answer
—
after reasoning tokens
Design Arena Elo
| Category | Elo |
|---|---|
| Website | 1,175 |
| UI components | 1,117 |
| Data viz | 1,151 |
| SVG | 1,016 |
| 3D | 1,128 |
| Game dev | 1,104 |
| Code categories | 1,157 |
| ASCII art | 1,088 |
Specs
Context window
262K
tokens
Max output
210K
tokens
Input modalities
text, image, file
Tokenizer
Mistral