Mistral Small 3.1 24B
by Mistral · mistralai/mistral-small-3.1-24b-instruct · #106 cheapest of 325 paid models
Prices updated Jul 22, 2026, 2:51 AM UTC · refreshed hourly
Mistral Small 3.1 24B Instruct is an upgraded variant of Mistral Small 3 (2501), featuring 24 billion parameters with advanced multimodal capabilities. It provides state-of-the-art performance in text-based reasoning and...
Compare vs:Claude Sonnet 5Claude Opus 4.6Claude Haiku 4.5GPT-5.6 Sol
Pricing
Input
$0.351
per 1M tokens
Output
$0.555
per 1M tokens
Blended (3:1)
$0.402
3 input : 1 output
Cache read
—
per 1M cached tokens
Cache write
—
per 1M tokens
Cache & batch economics
Effective prices for Mistral Small 3.1 24B (no cache-read rate published — hits billed as normal input).
| Cache hit rate | Effective blended $/1M | Example request* | vs no cache |
|---|---|---|---|
| 0% | $0.402 | $0.0364 | — |
| 50% | $0.402 | $0.0364 | −0% |
| 90% | $0.402 | $0.0364 | −0% |
*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 | $0.000342 | $0.342 |
| Document summary | 8,000 | 1,000 | $0.003363 | $3.36 |
| Codebase question (RAG) | 30,000 | 2,000 | $0.0116 | $11.64 |
| Long-context analysis | 150,000 | 5,000 | $0.0554 | $55.42 |
Specs
Context window
128K
tokens
Max output
128K
tokens
Input modalities
text, image
Tokenizer
Mistral