Model Comparison
Gemini 3 Pro vs Kimi K2.5Which is better in 2026?
Gemini 3 Pro shows notably better performance in the majority of benchmarks. Kimi K2.5 is 3.8x cheaper per token.
Verdict: Gemini 3 Pro vs Kimi K2.5 — which is better?
Gemini 3 Pro (by Google) and Kimi K2.5 (by Moonshot AI) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.
Gemini 3 Pro outperforms in 6 benchmarks (AIME 2025, CharXiv-R, GPQA, MMMU-Pro, Terminal-Bench 2.0, VideoMMMU), while Kimi K2.5 is better at 3 benchmarks (Humanity's Last Exam, OmniDocBench 1.5, SWE-Bench Verified). Gemini 3 Pro shows notably better performance in the majority of benchmarks.
On price, Kimi K2.5 is roughly 3.8x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Gemini 3 Pro also accepts a larger context window (1,048,576 input tokens), making it the stronger choice for long documents and large codebases.
Choose Gemini 3 Pro if…
- you want the strongest raw capability — it leads on 6 of 9 shared benchmarks
- you process long inputs — it offers a 1,048,576 token context window
Choose Kimi K2.5 if…
- cost matters — it's about 3.8x cheaper per token
- you want the most recent training data — it shipped Jan 2026
- you need open weights you can self-host or fine-tune
Performance Benchmarks
Comparative analysis across standard metrics
Gemini 3 Pro outperforms in 6 benchmarks (AIME 2025, CharXiv-R, GPQA, MMMU-Pro, Terminal-Bench 2.0, VideoMMMU), while Kimi K2.5 is better at 3 benchmarks (Humanity's Last Exam, OmniDocBench 1.5, SWE-Bench Verified).
Gemini 3 Pro shows notably better performance in the majority of benchmarks.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
For input processing, Gemini 3 Pro ($2.00/1M tokens) is 3.3x more expensive than Kimi K2.5 ($0.60/1M tokens).
For output processing, Gemini 3 Pro ($12.00/1M tokens) is 4.0x more expensive than Kimi K2.5 ($3.00/1M tokens).
In conclusion, Gemini 3 Pro is more expensive than Kimi K2.5.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
Gemini 3 Pro accepts 1,048,576 input tokens compared to Kimi K2.5's 262,100 tokens. Kimi K2.5 can generate longer responses up to 262,100 tokens, while Gemini 3 Pro is limited to 65,536 tokens.
Input Capabilities
Supported data types and modalities
Both Gemini 3 Pro and Kimi K2.5 support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
Gemini 3 Pro
Kimi K2.5
License
Usage and distribution terms
Gemini 3 Pro is licensed under a proprietary license, while Kimi K2.5 uses MIT.
License differences may affect how you can use these models in commercial or open-source projects.
Proprietary
Closed source
MIT
Open weights
Release Timeline
When each model was launched
Gemini 3 Pro was released on 2025-11-18, while Kimi K2.5 was released on 2026-01-27.
Kimi K2.5 is 2 months newer than Gemini 3 Pro.
Nov 18, 2025
6 months ago
Jan 27, 2026
4 months ago
2mo newerKnowledge Cutoff
When training data ends
Gemini 3 Pro has a documented knowledge cutoff of 2025-01-31, while Kimi K2.5's cutoff date is not specified.
We can confirm Gemini 3 Pro's training data extends to 2025-01-31, but cannot make a direct comparison without Kimi K2.5's cutoff date.
Jan 2025
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Provider Availability
Gemini 3 Pro is available from Google. Kimi K2.5 is available from Fireworks, Moonshot AI.
Gemini 3 Pro
Kimi K2.5
Outputs Comparison
Key Takeaways
Gemini 3 Pro
View detailsKimi K2.5
View detailsMoonshot AI
Detailed Comparison
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FAQ
Common questions about Gemini 3 Pro vs Kimi K2.5.