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CostPerPrompt

Mixtral 8x22B Instruct API Pricing

Mistral · context window 66K · prices updated 2026-09-15

Input per 1M tokens
$2.00
Output per 1M tokens
$6.00
Cached input per 1M
$0.2
90% cheaper than fresh input

Where Mixtral 8x22B Instruct sits on price

At $6.00 per million output tokens, Mixtral 8x22B Instruct 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 23th 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.

Output tokens per $1
166,667
One full context fill
$0.1311
Cheaper than
29% 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 Mixtral 8x22B Instruct

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 Mixtral 8x22B Instruct with caching and batch options.

Mixtral 8x22B Instruct price history

Mixtral 8x22B Instruct'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).

Mixtral 8x22B Instruct 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 Mixtral 8x22B Instruct API cost?

Mixtral 8x22B Instruct 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 Mixtral 8x22B Instruct?

Support chatbot — 500 conversations/day (5K in / 1.4K out) costs about $0.0184 per request and $276 per month on Mixtral 8x22B Instruct. Conversation history re-sent each turn — the classic prompt-caching win.

What does it cost to fill Mixtral 8x22B Instruct's 66K context window?

Sending 66K of input in a single request costs $0.1311 at $2.00 per million tokens — before any output. With prompt caching that same fill drops to about $0.0131 on repeat requests. This is why large context windows are cheap to advertise and expensive to actually use.

Is Mixtral 8x22B Instruct worth the price?

Mixtral 8x22B Instruct sits in the middle of the market (23 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.