Mistral's large MoE model with 8 expert groups and 22B each.
xAI's new flagship for coding, agentic tasks, and knowledge work, succeeding Grok 4.6 with its longest reinforcement learning run yet.
No shared demos for these models yet.
No captured outputs for these models yet.
Both Mixtral 8x22B and Grok 4.7 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. Grok 4.7: $2.00 input / $6.00 output.
Grok 4.7 has a larger context window: Mixtral 8x22B supports 66K tokens vs Grok 4.7 at 500K tokens.
Grok 4.7 supports vision/image input, but Mixtral 8x22B does not.
Key differences: only Grok 4.7 supports vision input; only Grok 4.7 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 Grok 4.7 for free on idapt.app to see which performs better for your specific needs.