Model Comparison

Kimi K2.5 vs Gemini 3.1 Flash-Lite

Kimi K2.5 significantly outperforms across most benchmarks. Gemini 3.1 Flash-Lite is 2.1x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

5 benchmarks

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.

Fri May 01 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Gemini 3.1 Flash-Lite costs less

For input processing, Kimi K2.5 ($0.60/1M tokens) is 2.4x more expensive than Gemini 3.1 Flash-Lite ($0.25/1M tokens).

For output processing, Kimi K2.5 ($3.00/1M tokens) is 2.0x more expensive than Gemini 3.1 Flash-Lite ($1.50/1M tokens).

In conclusion, Kimi K2.5 is more expensive than Gemini 3.1 Flash-Lite.*

* Using a 3:1 ratio of input to output tokens

Lowest available price from all providers
Fri May 01 2026 • llm-stats.com
Moonshot AI
Kimi K2.5
Input tokens$0.60
Output tokens$3.00
Best providerFireworks
Google
Gemini 3.1 Flash-Lite
Input tokens$0.25
Output tokens$1.50
Best providerGoogle
Notice missing or incorrect data?Start an Issue→

Context Window

Maximum input and output token capacity

Gemini 3.1 Flash-Lite accepts 1,000,000 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 3.1 Flash-Lite is limited to 65,536 tokens.

Moonshot AI
Kimi K2.5
Input262,100 tokens
Output262,100 tokens
Google
Gemini 3.1 Flash-Lite
Input1,000,000 tokens
Output65,536 tokens
Fri May 01 2026 • llm-stats.com

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

Text
Images
Audio
Video

Gemini 3.1 Flash-Lite

Text
Images
Audio
Video

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.

Kimi K2.5

MIT

Open weights

Gemini 3.1 Flash-Lite

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.

Kimi K2.5

Jan 27, 2026

3 months ago

Gemini 3.1 Flash-Lite

Mar 3, 2026

1 months ago

1mo newer

Knowledge 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.

Kimi K2.5

—

Gemini 3.1 Flash-Lite

Jan 2025

Provider Availability

Kimi K2.5 is available from Fireworks, Moonshot AI. Gemini 3.1 Flash-Lite is available from Google.

Kimi K2.5

fireworks logo
Fireworks
Input Price:Input: $0.60/1MOutput Price:Output: $3.00/1M
moonshot logo
Unknown Organization
Input Price:Input: $0.60/1MOutput Price:Output: $3.00/1M

Gemini 3.1 Flash-Lite

google logo
Google
Input Price:Input: $0.25/1MOutput Price:Output: $1.50/1M
* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

Moonshot AI
Has open weights
Higher CharXiv-R score (77.5% vs 73.2%)
Higher GPQA score (87.6% vs 86.9%)
Higher Humanity's Last Exam score (50.2% vs 16.0%)
Higher MMMU-Pro score (78.5% vs 76.8%)
Higher VideoMMMU score (86.6% vs 84.8%)
Google
Larger context window (1,000,000 tokens)
Less expensive input tokens
Less expensive output tokens

Detailed Comparison

AI Model Comparison Table
Feature
Moonshot AI
Kimi K2.5
Google
Gemini 3.1 Flash-Lite

FAQ

Common questions about Kimi K2.5 vs Gemini 3.1 Flash-Lite

Kimi K2.5 significantly outperforms across most benchmarks. Kimi K2.5 is made by Moonshot AI and Gemini 3.1 Flash-Lite is made by Google. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.
Kimi K2.5 scores AIME 2025: 96.1%, HMMT 2025: 95.4%, InfoVQAtest: 92.6%, OCRBench: 92.3%, MathVista-Mini: 90.1%. Gemini 3.1 Flash-Lite scores MMMLU: 88.9%, GPQA: 86.9%, VideoMMMU: 84.8%, MMMU-Pro: 76.8%, CharXiv-R: 73.2%.
Gemini 3.1 Flash-Lite is 2.4x cheaper for input tokens. Kimi K2.5 costs $0.60/M input and $3.00/M output via fireworks. Gemini 3.1 Flash-Lite costs $0.25/M input and $1.50/M output via google.
Kimi K2.5 supports 262K tokens and Gemini 3.1 Flash-Lite supports 1.0M tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include context window (262K vs 1.0M), input pricing ($0.60 vs $0.25/M), licensing (MIT vs Proprietary). See the full comparison above for benchmark-by-benchmark results.
Kimi K2.5 is developed by Moonshot AI and Gemini 3.1 Flash-Lite is developed by Google.