Gemini 3.1 Flash-Lite vs Kimi K2.5 (Reasoning)

Pick Kimi K2.5 (Reasoning) if you want the stronger benchmark profile. Gemini 3.1 Flash-Lite only becomes the better choice if you want the cheaper token bill or you need the larger 1M context window.

Kimi K2.5 (Reasoning) is clearly ahead on the provisional aggregate, 77 to 49. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.

Kimi K2.5 (Reasoning)'s sharpest advantage is in multimodal & grounded, where it averages 78.5 against 73.2.

Kimi K2.5 (Reasoning) is also the more expensive model on tokens at $0.60 input / $3.00 output per 1M tokens, versus $0.25 input / $1.50 output per 1M tokens for Gemini 3.1 Flash-Lite. That is roughly 2.0x on output cost alone. Kimi K2.5 (Reasoning) is the reasoning model in the pair, while Gemini 3.1 Flash-Lite is not. That usually helps on harder chain-of-thought-heavy tests, but it can also mean more latency and more token spend in real use. Gemini 3.1 Flash-Lite gives you the larger context window at 1M, compared with 128K for Kimi K2.5 (Reasoning).