Mistral Large API Pricing
Mistral · context window 128K · prices updated 2026-09-15
Where Mistral Large sits on price
At $6.00 per million output tokens, Mistral Large is a premium tier model — 2.9× the median output price of $2.08, which puts it cheaper than 29% and pricier than 71% of the models we track. It sits 24th cheapest of the 25 Mistral models we track. Output is only 3.0× the input price, an unusually flat spread: long prompts hurt about as much as long answers, so prompt size is where the savings are.
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 Large
These three workloads are the ones teams actually run on a premium-priced model — a $6.00/1M 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. | $0.0184 | $276 |
| Coding agent — 300 sessions/day (60K in / 12K out) Multi-step loops re-read the same files; caching matters more than raw price. | $0.192 | $1728 |
| Small app — 1K requests/day (500 in / 150 out) The baseline most side projects actually run at. | $0.0019 | $57.00 |
Model your exact traffic in the API cost calculator — it preloads Mistral Large with caching and batch options.
Mistral Large price history
Mistral Large's price has not moved since we began tracking it on Aug 2, 2026 — 44 days of stability in a market where 78 of the 334 models we track have repriced over the same period, including 7 of Mistral's own 25 models.
Change-points from our daily price snapshots (tracking since Aug 2, 2026; intraday moves between snapshots are not captured).
Mistral Large vs Qwen3.8 Max (0902)
The closest-priced alternative from another vendor is Qwen3.8 Max (0902) (Alibaba (Qwen)) — priced within a rounding error on output, with identical input pricing. 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 Qwen3.8 Max (0902) pricing →Cheaper alternatives
More Mistral models
Frequently asked questions
› How much does the Mistral Large API cost?
Mistral Large costs $2.00 per million input tokens and $6.00 per million output tokens, with cached input at $0.2 per million (90% cheaper). That works out to roughly 166,667 output tokens per dollar.
› What does the support chatbot workload cost on Mistral Large?
Support chatbot — 500 conversations/day (5K in / 1.4K out) costs about $0.0184 per request and $276 per month on Mistral Large. Conversation history re-sent each turn — the classic prompt-caching win.
› What does it cost to fill Mistral Large's 128K context window?
Sending 128K of input in a single request costs $0.256 at $2.00 per million tokens — before any output. With prompt caching that same fill drops to about $0.0256 on repeat requests. This is why large context windows are cheap to advertise and expensive to actually use.
› Is Mistral Large worth the price?
Mistral Large sits in the middle of the market (24 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.