Mistral Medium 3.1 (batch) API Pricing
Mistral · context window 131K · prices updated 2026-09-15
Where Mistral Medium 3.1 (batch) sits on price
At $1.00 per million output tokens, Mistral Medium 3.1 (batch) is a mid tier model — 2.1× cheaper than the median output price of $2.08, which puts it cheaper than 69% and pricier than 31% of the models we track. It sits 16th cheapest of the 25 Mistral models we track. Output costs 5.0× input, the usual spread — trim both, starting with the answer length.
Cached input is 90% cheaper. On an input-heavy workload you need roughly a 28% cache-hit rate to take 25% off the input line — reachable for chatbots and agents that resend the same system prompt and history.
What real workloads cost on Mistral Medium 3.1 (batch)
These three workloads are the ones teams actually run on a mid-priced model — a $1.00/1M 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. | $0.0024 | $36.00 |
| Document pipeline — 10K docs/day (3K in / 500 out) Batch-friendly: no user waiting, so a ~50% batch discount usually applies. | $0.0011 | $330 |
| Small app — 1K requests/day (500 in / 150 out) The baseline most side projects actually run at. | $0.0003 | $7.50 |
Model your exact traffic in the API cost calculator — it preloads Mistral Medium 3.1 (batch) with caching and batch options.
Mistral Medium 3.1 (batch) price history
Mistral last cut Mistral Medium 3.1 (batch)'s output price on Sep 10, 2026 (-50% per output token), from $0.4/$2.00 to $0.2/$1.00 per 1M in/out. That is the only repricing in the 18 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 28, 2026 (tracking began) | $0.4 | $2.00 | — |
| Sep 10, 2026 | $0.2 | $1.00 | -50% |
Change-points from our daily price snapshots (tracking since Aug 28, 2026; intraday moves between snapshots are not captured).
Mistral Medium 3.1 (batch) vs Qwen2.5 VL 72B Instruct
The closest-priced alternative from another vendor is Qwen2.5 VL 72B Instruct (Alibaba (Qwen)) — priced within a rounding error on output, with $0.6 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 Qwen2.5 VL 72B Instruct pricing →Cheaper alternatives
More Mistral models
Frequently asked questions
› How much does the Mistral Medium 3.1 (batch) API cost?
Mistral Medium 3.1 (batch) costs $0.2 per million input tokens and $1.00 per million output tokens, with cached input at $0.02 per million (90% cheaper). That works out to roughly 1,000,000 output tokens per dollar.
› What does the support chatbot workload cost on Mistral Medium 3.1 (batch)?
Support chatbot — 500 conversations/day (5K in / 1.4K out) costs about $0.0024 per request and $36.00 per month on Mistral Medium 3.1 (batch). Conversation history re-sent each turn — the classic prompt-caching win.
› What does it cost to fill Mistral Medium 3.1 (batch)'s 131K context window?
Sending 131K of input in a single request costs $0.0262 at $0.2 per million tokens — before any output. With prompt caching that same fill drops to about $0.0026 on repeat requests. This is why large context windows are cheap to advertise and expensive to actually use.
› Is Mistral Medium 3.1 (batch) worth the price?
Mistral Medium 3.1 (batch) sits in the middle of the market (16 of 25 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.