Mistral's large MoE model with 8 expert groups and 22B each.
Open-source 1.6T-parameter MoE with 49B active, built for advanced reasoning and long-horizon agents.
No shared agent demos for these models yet.
No captured outputs for these models yet.
This model hasn't been benchmarked yet.
Both Mixtral 8x22B and DeepSeek V4 Pro 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.
DeepSeek V4 Pro has a lower blended cost. Mixtral 8x22B: $2.00 input / $6.00 output. DeepSeek V4 Pro: $0.43 input / $0.87 output.
DeepSeek V4 Pro has a larger context window: Mixtral 8x22B supports 66K tokens vs DeepSeek V4 Pro at 1M tokens.
Key differences: DeepSeek V4 Pro is significantly cheaper; only DeepSeek V4 Pro 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 DeepSeek V4 Pro for free on idapt.app to see which performs better for your specific needs.