Kimi K2.5 vs Gemini 3.1 Flash-Lite Comparison
Comparing Kimi K2.5 and Gemini 3.1 Flash-Lite across benchmarks, pricing, and capabilities.
Performance Benchmarks
Comparative analysis across standard metrics
Kimi K2.5 outperforms in 5 benchmarks (CharXiv-R, GPQA, Humanity's Last Exam, MMMU-Pro, VideoMMMU), while Gemini 3.1 Flash-Lite is better at 0 benchmarks.
Kimi K2.5 significantly outperforms across most benchmarks.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
Cost data unavailable.
Context Window
Maximum input and output token capacity
Only Gemini 3.1 Flash-Lite specifies input context (1,000,000 tokens). Only Gemini 3.1 Flash-Lite specifies output context (65,536 tokens).
Input Capabilities
Supported data types and modalities
Both Kimi K2.5 and Gemini 3.1 Flash-Lite support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
Kimi K2.5
Gemini 3.1 Flash-Lite
License
Usage and distribution terms
Kimi K2.5 is licensed under MIT, while Gemini 3.1 Flash-Lite uses a proprietary license.
License differences may affect how you can use these models in commercial or open-source projects.
MIT
Open weights
Proprietary
Closed source
Release Timeline
When each model was launched
Kimi K2.5 was released on 2026-01-27, while Gemini 3.1 Flash-Lite was released on 2026-03-03.
Gemini 3.1 Flash-Lite is 1 month newer than Kimi K2.5.
Jan 27, 2026
1 months ago
Mar 3, 2026
2 weeks ago
1mo newerKnowledge Cutoff
When training data ends
Gemini 3.1 Flash-Lite has a documented knowledge cutoff of 2025-01-31, while Kimi K2.5's cutoff date is not specified.
We can confirm Gemini 3.1 Flash-Lite's training data extends to 2025-01-31, but cannot make a direct comparison without Kimi K2.5's cutoff date.
—
Jan 2025
Outputs Comparison
Key Takeaways
Kimi K2.5
View detailsMoonshot AI
Detailed Comparison
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