Mistral's large MoE model with 8 expert groups and 22B each.
MiniMax's multimodal foundation model for long-horizon agentic work.
No shared agent demos for these models yet.
No captured outputs for these models yet.
This model hasn't been benchmarked yet.
This model hasn't been benchmarked yet.
Both Mixtral 8x22B and MiniMax M3 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.
MiniMax M3 has a lower blended cost. Mixtral 8x22B: $2.00 input / $6.00 output. MiniMax M3: $0.30 input / $1.20 output.
MiniMax M3 has a larger context window: Mixtral 8x22B supports 66K tokens vs MiniMax M3 at 524K tokens.
MiniMax M3 supports vision/image input, but Mixtral 8x22B does not.
Key differences: MiniMax M3 is significantly cheaper; only MiniMax M3 supports vision input; only MiniMax M3 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 MiniMax M3 for free on idapt.app to see which performs better for your specific needs.