Mixtral 8x22B
Pricing & Specs
Mistral · $2 input / $6 output per 1M tokens · 65.536K context window
The per-token price never tells the full story. A typical task (1K input + 500 output tokens) on Mixtral 8x22B costs about $0.0050 — roughly $5.00 per 1,000 runs. But if it needs 3x the tokens of a cheaper model to match quality on YOUR task, the economics flip. The only way to know is to benchmark it on your actual workload.
Mixtral 8x22B API Pricing
| Tokens | Price |
|---|---|
| Input | $2 / 1M tokens |
| Output | $6 / 1M tokens |
50% discount available for batch API requests. Batch API pricing is available for this model at 50%. No cache pricing is published.
What that means in practice
Mixtral 8x22B Specs
| Spec | Value |
|---|---|
| Context window | 65.536K tokens |
| Input modalities | text |
| Output modalities | text |
| Latency (measured by OpenMark) | ~147ms median response |
| Reasoning model | No |
| Tool / function calling | No |
| JSON mode | Yes |
| Streaming | Yes |
| Prompt caching | No |
| Batch API | Yes |
Capabilities
FAQ
How much does Mixtral 8x22B cost?
Mixtral 8x22B costs $2 per 1M input tokens and $6 per 1M output tokens.
What is Mixtral 8x22B's context window?
Mixtral 8x22B has a 65.536K-token context window.
Can I test Mixtral 8x22B on my own task?
Yes. OpenMark lets you benchmark Mixtral 8x22B against 100+ models on your own task with real API calls — no API keys needed, free tier available.
Is Mixtral 8x22B the right model for YOUR task?
Pricing tables can't answer that. Benchmark it against 100+ models
on your actual workload — real API calls, real costs. Free tier available.