Mistral: Mixtral 8x22B
Mixtral 8x22B is a language model from Mistral released on Dec 11, 2025. It reads text and writes text, with a 66K token context window and up to 52K tokens per reply.
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It costs $2 per million input tokens and $6 per million output tokens. Cached input bills at $0.20, 90% less than fresh input.
It supports prompt caching, and its weights are open, so you can host it yourself.
- Modalities
- In / out price
- $2 / $6 per 1M
- Context
- 66K
- Max output
- 52K
- Released
- Dec 11, 2025
- Knowledge cutoff
- n/a
- Tool calling
- Structured output
- Reasoning
- Prompt caching
- Open weights
- Free to use
Mixtral 8x22B pricing
USD, as listed on Oct 15, 2026. Most bills are input heavy, so the cached input rate matters as much as the headline price.
| Input | $2 / 1M tokens | |
|---|---|---|
| Output | $6 / 1M tokens | |
| Cached input (read) | $0.20 / 1M tokens | 90% off input |
What Mixtral 8x22B costs per month
Pick a workload close to yours or type your own volumes.
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Mixtral 8x22B questions
How much does the Mixtral 8x22B API cost?
$2 per million input tokens and $6 per million output tokens, with cached input at $0.20. The estimator on this page turns that into a monthly bill for your own workload.
What is the context window of Mixtral 8x22B?
65,536 tokens of input, and it can write up to 52,428 tokens in one reply. As a rough guide, a million tokens is around 750,000 English words.
Does Mixtral 8x22B support tool calling?
Not through the standard tools parameter. For an agent that calls your APIs, pick a model from the alternatives below that does.
Is Mixtral 8x22B open source?
Its weights are published, so you can run it on your own hardware or a cloud of your choice. Read the license before commercial use.
When was Mixtral 8x22B released?
Dec 11, 2025.
Catalog data from models.dev (MIT licensed), refreshed daily, last on Oct 15, 2026. The summary is written from these facts.
Building on Mixtral 8x22B?
I test your real tasks on it and the two closest alternatives, then ship the agent on whichever wins on cost and accuracy.
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