Mistral's large MoE model with 8 expert groups and 22B each.
Alibaba's updated Qwen3.8 Max flagship snapshot, post-trained for coding and agentic work.
No shared demos for these models yet.
No captured outputs for these models yet.
Both Mixtral 8x22B and Qwen3.8 Max (0902) are capable AI models. The best choice depends on your specific use case: consider pricing, context window, speed, and which capabilities (vision, reasoning, audio) you need.
Mixtral 8x22B has a lower blended cost. Mixtral 8x22B: $2.00 input / $6.00 output. Qwen3.8 Max (0902): $2.00 input / $6.00 output.
Qwen3.8 Max (0902) has a larger context window: Mixtral 8x22B supports 66K tokens vs Qwen3.8 Max (0902) at 1M tokens.
Qwen3.8 Max (0902) supports vision/image input, but Mixtral 8x22B does not.
Key differences: only Qwen3.8 Max (0902) supports vision input; only Qwen3.8 Max (0902) offers extended reasoning mode. Compare full specs on this page.
If cost is your priority, choose the cheaper option. If you need the highest intelligence for complex tasks, pick the higher-scoring model. For long documents or codebases, choose the larger context window. You can try both Mixtral 8x22B and Qwen3.8 Max (0902) for free on idapt.app to see which performs better for your specific needs.