Mistral Small 3.2 24B API Pricing
Mistral · context window 256K · prices updated 2026-09-20
Where Mistral Small 3.2 24B sits on price
At $0.25 per million output tokens, Mistral Small 3.2 24B is a budget tier model — 8.0× cheaper than the median output price of $2.00, which puts it in the cheapest 10% of everything we track. It sits 7th cheapest of the 24 Mistral models we track. Output is only 2.7× the input price, an unusually flat spread: long prompts hurt about as much as long answers, so prompt size is where the savings are.
What real workloads cost on Mistral Small 3.2 24B
These three workloads are the ones teams actually run on a budget-priced model — a $0.25/1M model is not bought for the same job as one ten times the price.
| Workload | Per request | Per month |
|---|---|---|
| High-volume classification — 200K requests/day (400 in / 20 out) Short output, huge volume: the input price dominates the bill. | $0 | $255 |
| Small app — 1K requests/day (500 in / 150 out) The baseline most side projects actually run at. | $0.0001 | $2.53 |
| Document pipeline — 10K docs/day (3K in / 500 out) Batch-friendly: no user waiting, so a ~50% batch discount usually applies. | $0.0004 | $122 |
Model your exact traffic in the API cost calculator — it preloads Mistral Small 3.2 24B with caching and batch options.
Mistral Small 3.2 24B price history
Mistral last raised Mistral Small 3.2 24B's output price on Sep 16, 2026 (+25% per output token), from $0.075/$0.2 to $0.0938/$0.25 per 1M in/out. That is one of 3 repricings in the 49 days we have tracked it — worth knowing before you hard-code today's rate into a budget.
| Date | Input /1M | Output /1M | Output change |
|---|---|---|---|
| Aug 2, 2026 (tracking began) | $0.075 | $0.2 | — |
| Aug 4, 2026 | $0.0938 | $0.25 | +25% |
| Aug 21, 2026 | $0.075 | $0.2 | -20% |
| Sep 16, 2026 | $0.0938 | $0.25 | +25% |
Change-points from our daily price snapshots (tracking since Aug 2, 2026; intraday moves between snapshots are not captured).
Mistral Small 3.2 24B vs Qwen3.5-9B (batch)
The closest-priced alternative from another vendor is Qwen3.5-9B (batch) (Alibaba (Qwen)) — priced within a rounding error on output, with $0.0762 more 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 Qwen3.5-9B (batch) pricing →Cheaper alternatives
More Mistral models
Frequently asked questions
› How much does the Mistral Small 3.2 24B API cost?
Mistral Small 3.2 24B costs $0.0938 per million input tokens and $0.25 per million output tokens and no discounted cached-input tier. That works out to roughly 4,000,000 output tokens per dollar.
› What does the high-volume classification workload cost on Mistral Small 3.2 24B?
High-volume classification — 200K requests/day (400 in / 20 out) costs about $0 per request and $255 per month on Mistral Small 3.2 24B. Short output, huge volume: the input price dominates the bill.
› What does it cost to fill Mistral Small 3.2 24B's 256K context window?
Sending 256K of input in a single request costs $0.024 at $0.0938 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 3.2 24B worth the price?
Mistral Small 3.2 24B is in the cheapest end of the market — cheaper than 91% of the models we track. At this price the question is not cost but capability: it is a good fit for classification, extraction, routing and bulk summarisation, and a poor fit for multi-step reasoning where a wrong answer costs more than the tokens saved.