xAI's new flagship for coding, agentic tasks, and knowledge work, succeeding Grok 4.6 with its longest reinforcement learning run yet.
The open-weight variant of Qwen3.8 Max, with 95 billion active parameters out of 2.4 trillion total.
No shared demos for these models yet.
No captured outputs for these models yet.
Both Grok 4.7 and Qwen3.8 2.4T A95B 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.
Grok 4.7 has a lower blended cost. Grok 4.7: $2.00 input / $6.00 output. Qwen3.8 2.4T A95B: $2.00 input / $6.00 output.
Qwen3.8 2.4T A95B has a larger context window: Grok 4.7 supports 500K tokens vs Qwen3.8 2.4T A95B at 1M tokens.
Grok 4.7 supports vision/image input, but Qwen3.8 2.4T A95B does not.
Key differences: only Grok 4.7 supports vision input. 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 Grok 4.7 and Qwen3.8 2.4T A95B for free on idapt.app to see which performs better for your specific needs.