Mistral
Mixtral 8x22B Instruct
Mistral's official instruct fine-tuned version of [Mixtral 8x22B](/models/mistralai/mixtral-8x22b). It uses 39B active parameters out of 141B, offering unparalleled cost efficiency for its size. Its strengths include: - strong math, coding, and reasoning - large context length (64k) - fluency in English, French, Italian, German, and Spanish See benchmarks on the launch announcement [here](https://mistral.ai/news/mixtral-8x22b/). #moe
- Input / 1M tokens
- $2.00
- Output / 1M tokens
- $6.00
- Context window
- 66K tokens
- Provider
- Mistral
- Cached input / 1M
- $0.200
- Knowledge cutoff
- 2024-01-31
Performance
Median streaming throughput and first-token latency measured by Artificial Analysis.
- Output tokens / sec
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- Time to first token
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