xAI's new flagship for coding, agentic tasks, and knowledge work, succeeding Grok 4.6 with its longest reinforcement learning run yet.
Dense 27B vision-language model with linear attention for fast response times.
No shared demos for these models yet.
No captured outputs for these models yet.
Both Grok 4.7 and Qwen3.5 27B 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.
Qwen3.5 27B has a lower blended cost. Grok 4.7: $2.00 input / $6.00 output. Qwen3.5 27B: $0.26 input / $2.60 output.
Grok 4.7 has a larger context window: Grok 4.7 supports 500K tokens vs Qwen3.5 27B at 262K tokens.
Yes, both Grok 4.7 and Qwen3.5 27B support vision/image input.
Key differences: Qwen3.5 27B is significantly cheaper. 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 Qwen3.5 27B for free on idapt.app to see which performs better for your specific needs.