The open-weight variant of Qwen3.8 Max, with 95 billion active parameters out of 2.4 trillion total.
MoonshotAI's coding-focused Kimi model for end-to-end software engineering.
No shared demos for these models yet.
No captured outputs for these models yet.
Both Qwen3.8 2.4T A95B and Kimi K2.7 Code 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.
Kimi K2.7 Code has a lower blended cost. Qwen3.8 2.4T A95B: $2.00 input / $6.00 output. Kimi K2.7 Code: $0.82 input / $3.75 output.
Qwen3.8 2.4T A95B has a larger context window: Qwen3.8 2.4T A95B supports 1M tokens vs Kimi K2.7 Code at 262K tokens.
Kimi K2.7 Code supports vision/image input, but Qwen3.8 2.4T A95B does not.
Key differences: Kimi K2.7 Code is significantly cheaper; 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 Qwen3.8 2.4T A95B and Kimi K2.7 Code for free on idapt.app to see which performs better for your specific needs.