Mixtral 8x22B
PaidCheaper, Better, Faster, Stronger
About Mixtral 8x22B
Mixtral 8x22B is a sparse Mixture-of-Experts (SMoE) language model that activates only 39B of its 141B total parameters per inference, delivering strong performance with high cost efficiency. Released under the Apache 2.0 open-source license, it supports a 64K token context window, native function calling, and constrained output modes for application development. The model achieves top benchmarks in reasoning, mathematics, and coding, outperforming many dense 70B models while being faster. It offers native fluency in English, French, Italian, German, and Spanish, making it suitable for multilingual tasks. The base model is available for fine-tuning, and an instructed version improves math performance (90.8% on GSM8K maj@8).
Key Features
Pros & Cons
- Fully open-source with permissive Apache 2.0 license
- Excellent cost efficiency due to sparse activation
- Strong performance in reasoning, math, and coding benchmarks
- Supports function calling natively, enabling complex workflows
- Large 64K token context window for long-document tasks
- Multilingual out-of-the-box (5 European languages)
Best For
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