Skip to content
CostPerPrompt

Mistral Medium 3 API Pricing

Mistral · context window 131K · prices updated 2026-09-15

Input per 1M tokens
$0.4
Output per 1M tokens
$2.00
Cached input per 1M
$0.04
90% cheaper than fresh input

Where Mistral Medium 3 sits on price

At $2.00 per million output tokens, Mistral Medium 3 is a mid tier model — right at the median output price of $2.08, which puts it cheaper than 53% and pricier than 47% of the models we track. It sits 20th cheapest of the 25 Mistral models we track. Output costs 5.0× input, the usual spread — trim both, starting with the answer length.

Output tokens per $1
500,000
One full context fill
$0.0524
Cheaper than
53% of tracked models

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

These three workloads are the ones teams actually run on a mid-priced model — a $2.00/1M 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. $0.0048 $72.00
Document pipeline — 10K docs/day (3K in / 500 out) Batch-friendly: no user waiting, so a ~50% batch discount usually applies. $0.0022 $660
Small app — 1K requests/day (500 in / 150 out) The baseline most side projects actually run at. $0.0005 $15.00

Model your exact traffic in the API cost calculator — it preloads Mistral Medium 3 with caching and batch options.

Mistral Medium 3 price history

Mistral Medium 3'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 Medium 3 vs Qwen3.6 27B

The closest-priced alternative from another vendor is Qwen3.6 27B (Alibaba (Qwen)) — priced within a rounding error on output, with $0.1 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 Qwen3.6 27B pricing →

Cheaper alternatives

More Mistral models

Frequently asked questions

How much does the Mistral Medium 3 API cost?

Mistral Medium 3 costs $0.4 per million input tokens and $2.00 per million output tokens, with cached input at $0.04 per million (90% cheaper). That works out to roughly 500,000 output tokens per dollar.

What does the support chatbot workload cost on Mistral Medium 3?

Support chatbot — 500 conversations/day (5K in / 1.4K out) costs about $0.0048 per request and $72.00 per month on Mistral Medium 3. Conversation history re-sent each turn — the classic prompt-caching win.

What does it cost to fill Mistral Medium 3's 131K context window?

Sending 131K of input in a single request costs $0.0524 at $0.4 per million tokens — before any output. With prompt caching that same fill drops to about $0.0052 on repeat requests. This is why large context windows are cheap to advertise and expensive to actually use.

Is Mistral Medium 3 worth the price?

Mistral Medium 3 sits in the middle of the market (20 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.