Skip to content
CostPerPrompt

Mistral Small 3.1 24B API Pricing

Mistral · context window 128K · prices updated 2026-09-20

Input per 1M tokens
$0.351
Output per 1M tokens
$0.555
Cached input per 1M
No discounted cached tier on this model

Where Mistral Small 3.1 24B sits on price

At $0.555 per million output tokens, Mistral Small 3.1 24B is a mid tier model — 3.6× cheaper than the median output price of $2.00, which puts it cheaper than 79% and pricier than 21% of the models we track. It sits 11th cheapest of the 24 Mistral models we track. Output is only 1.6× the input price, an unusually flat spread: long prompts hurt about as much as long answers, so prompt size is where the savings are.

Output tokens per $1
1,801,802
One full context fill
$0.0449
Cheaper than
79% of tracked models

What real workloads cost on Mistral Small 3.1 24B

These three workloads are the ones teams actually run on a mid-priced model — a $0.555/1M model is not bought for the same job as one ten times the price.

Workload Per request Per month
Support chatbot — 500 conversations/day (5K in / 1.4K out) Conversation history re-sent each turn — the classic prompt-caching win. $0.0025 $37.98
Document pipeline — 10K docs/day (3K in / 500 out) Batch-friendly: no user waiting, so a ~50% batch discount usually applies. $0.0013 $399
Small app — 1K requests/day (500 in / 150 out) The baseline most side projects actually run at. $0.0003 $7.76

Model your exact traffic in the API cost calculator — it preloads Mistral Small 3.1 24B with caching and batch options.

Mistral Small 3.1 24B price history

Mistral Small 3.1 24B's price has not moved since we began tracking it on Aug 2, 2026 — 49 days of stability in a market where 79 of the 335 models we track have repriced over the same period, including 7 of Mistral's own 24 models.

Change-points from our daily price snapshots (tracking since Aug 2, 2026; intraday moves between snapshots are not captured).

Mistral Small 3.1 24B vs Command R (08-2024)

The closest-priced alternative from another vendor is Command R (08-2024) (Cohere) — 8% more expensive on output, with $0.201 less per million input tokens. When two models land this close on price, the decision is quality on your own workload, not the price sheet: run 50 real requests through both and compare.

See Command R (08-2024) pricing →

Cheaper alternatives

More Mistral models

Frequently asked questions

How much does the Mistral Small 3.1 24B API cost?

Mistral Small 3.1 24B costs $0.351 per million input tokens and $0.555 per million output tokens and no discounted cached-input tier. That works out to roughly 1,801,802 output tokens per dollar.

What does the support chatbot workload cost on Mistral Small 3.1 24B?

Support chatbot — 500 conversations/day (5K in / 1.4K out) costs about $0.0025 per request and $37.98 per month on Mistral Small 3.1 24B. Conversation history re-sent each turn — the classic prompt-caching win.

What does it cost to fill Mistral Small 3.1 24B's 128K context window?

Sending 128K of input in a single request costs $0.0449 at $0.351 per million tokens — before any output. There is no cached-input tier on this model, so every repeat of that context is billed at full price. This is why large context windows are cheap to advertise and expensive to actually use.

Is Mistral Small 3.1 24B worth the price?

Mistral Small 3.1 24B sits in the middle of the market (11 of 24 by price within Mistral). The honest test is a routing experiment: send the same 200 real requests to this model and to a tier below, and compare failure rate against the price gap — most teams find a majority of traffic never needed the pricier model.