openai
Mistral Small 3.1 24B vs GPT-5.6 Luna
73.6 overall · $0.450 / 1M
// mistralai
Mistral Small 3.1 24B
mistralai/mistral-small-3.1-24b-instruct
tool callingimage input
Mistral Small 3.1 24B costs $0.351 per 1M input tokens and $0.555 per 1M output tokens with a 128K-token context window.
A tool-calling model from mistralai, released Mar 17, 2025. LiveBench hasn't published a run for it, so this page carries measured price and specs only — no benchmark numbers.
- Input / 1M
- $0.351
- Output / 1M
- $0.555
- Context
- 128K
- LiveBench overall
- Not evaluated
Specs and pricing
| Input price USD per 1M prompt tokens | $0.351 |
|---|---|
| Output price USD per 1M completion tokens, reasoning included | $0.555 |
| Blended price 3:1 input:output — #120 cheapest of 343 listed models | $0.402 |
| Cached input read Blank means not priced separately — not free | — |
| Cache write | — |
| Context window | 128,000 tokens |
| Max output | 102,400 tokens |
| Input modalities | text, image |
| Tool calling | Yes |
| Extended reasoning | No |
| Knowledge cutoff | 2023-10-31 |
| Listed | Mar 17, 2025 |
What Mistral Small 3.1 24B costs to run
Monthly list cost across five workload shapes, using the published cached-input rate where there is one. A floor, not a quote — batch discounts and cache writes aren't included.
| Workload | Per month |
|---|---|
| Support chatbot 1.2K in / 400 out × 200K requests | $128.64/mo |
| RAG assistant 8K in / 600 out × 100K requests | $314.10/mo |
| Coding agent 40K in / 4K out × 20K requests | $325.20/mo |
| Document extraction 20K in / 1.5K out × 50K requests | $392.62/mo |
| Bulk classification 500 in / 20 out × 5M requests | $933.00/mo |
Compare Mistral Small 3.1 24B with
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Mistral Small 3.1 24B FAQ
How much does Mistral Small 3.1 24B cost?
Mistral Small 3.1 24B lists at $0.351 per 1M input tokens and $0.555 per 1M output tokens. A RAG assistant handling 100K requests a month (8K tokens in, 600 out) comes to about $314.10 at list price.
What is the context window of Mistral Small 3.1 24B?
Mistral Small 3.1 24B accepts up to 128,000 tokens of context and can return up to 102,400 output tokens per response.
Does Mistral Small 3.1 24B support tool calling?
Yes — Mistral Small 3.1 24B supports tool (function) calling. It accepts text, image input.
How does Mistral Small 3.1 24B score on benchmarks?
LiveBench has not published a run for Mistral Small 3.1 24B yet. Until it does, compare it on price and specs, or run your own evaluation on your own tasks.
What is the API model ID for Mistral Small 3.1 24B?
On OpenRouter the model ID is "mistralai/mistral-small-3.1-24b-instruct". It was listed on Mar 17, 2025.
More from mistralai
How these numbers are produced
- Price and specs — provider list data from OpenRouter, refreshed every 15 minutes. “Blended” is a 3:1 input:output mix.
- Scores and ranks — LiveBench release 2026-06-25. Ranks count only models that have a published run; a blank means “not evaluated”, never “bad”.
- Cost per point — the measured dollars LiveBench spent on the run, divided by the score it earned.
Published benchmarks rank models on someone else's tasks. Before committing, see LLM & agent evaluation for building an eval on your own.