MoonshotAI's coding-focused Kimi model for end-to-end software engineering.
Flagship reasoning model for complex multi-step tasks.
No shared agent demos for these models yet.
No captured outputs for these models yet.
Based on the Capability Index, Kimi K2.7 Code scores higher (81.8 vs 76.5). However, "better" depends on your use case — pricing, speed, context window, and specific capability needs all matter.
Kimi K2.7 Code has a lower blended cost. Kimi K2.7 Code: $0.82 input / $3.75 output. Qwen3 Max Thinking: $0.78 input / $3.90 output.
Kimi K2.7 Code has a larger context window: Kimi K2.7 Code supports 262K tokens vs Qwen3 Max Thinking at 262K tokens.
Kimi K2.7 Code supports vision/image input, but Qwen3 Max Thinking does not.
Key differences: Kimi K2.7 Code has a notably higher capability index (5.3 point gap); only Kimi K2.7 Code 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 Kimi K2.7 Code and Qwen3 Max Thinking for free on idapt.app to see which performs better for your specific needs.