MoonshotAI's coding-focused Kimi model for end-to-end software engineering.
Google's frontier model with a large leap in core reasoning.
No shared agent demos for these models yet.
No captured outputs for these models yet.
Based on the Capability Index, Gemini 3.1 Pro scores higher (86.4 vs 81.8). 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. Gemini 3.1 Pro: $2.00 input / $12.00 output.
Gemini 3.1 Pro has a larger context window: Kimi K2.7 Code supports 262K tokens vs Gemini 3.1 Pro at 1M tokens.
Yes, both Kimi K2.7 Code and Gemini 3.1 Pro support vision/image input.
Key differences: Kimi K2.7 Code 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 Kimi K2.7 Code and Gemini 3.1 Pro for free on idapt.app to see which performs better for your specific needs.