Mistral Medium 3.1 (batch)
by Mistral · mistralai/mistral-medium-3.1:batch · #135 cheapest of 422 paid models
Prices updated Sep 19, 2026, 6:21 PM UTC · refreshed hourly
Mistral Medium 3.1 is an updated version of Mistral Medium 3, which is a high-performance enterprise-grade language model designed to deliver frontier-level capabilities at significantly reduced operational cost. It balances...
Compare vs:Claude Sonnet 5Claude Opus 4.6Claude Haiku 4.5GPT-5.6 Sol
Pricing
Input
$0.20
per 1M tokens
Output
$1.00
per 1M tokens
Blended (3:1)
$0.40
3 input : 1 output
Cache read
$0.02
per 1M cached tokens
Cache write
—
per 1M tokens
Cache & batch economics
Effective prices for Mistral Medium 3.1 (batch) with prompt caching.
| Cache hit rate | Effective blended $/1M | Example request* | vs no cache |
|---|---|---|---|
| 0% | $0.40 | $0.0214 | — |
| 50% | $0.333 | $0.0124 | −42% |
| 90% | $0.278 | $0.0052 | −76% |
*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 | $0.0004 | $0.4 |
| Document summary | 8,000 | 1,000 | $0.0026 | $2.60 |
| Codebase question (RAG) | 30,000 | 2,000 | $0.008 | $8.00 |
| Long-context analysis | 150,000 | 5,000 | $0.035 | $35.00 |
Performance
Intelligence Index
9.5
AA composite quality
Coding Index
20.5
Math Index
38.3
Agentic Index
3.1
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 | 68.3% |
| GPQA Diamond | 58.8% |
| Humanity's Last Exam | 4.7% |
| LiveCodeBench | 40.6% |
| SciCode | 32.4% |
| AIME 2025 | 38.3% |
| IFBench | 39.8% |
| AA-LCR (Long Context Reasoning) | 42.7% |
| Terminal-Bench Hard | 10.6% |
| Terminal-Bench 2.1 | 13.9% |
| τ²-Bench (Telecom) | 40.6% |
| τ³-Bench Banking | 8.2% |
Design Arena Elo
| Category | Elo |
|---|---|
| Website | 1,145 |
| UI components | 1,115 |
| Data viz | 1,159 |
| SVG | 1,016 |
| 3D | 1,110 |
| Game dev | 1,097 |
| Code categories | 1,135 |
| ASCII art | 1,016 |
Specs
Context window
131K
tokens
Max output
105K
tokens
Input modalities
text, image, file
Tokenizer
Mistral