Model Comparison

Gemini 3.1 Pro vs Kimi K2.5Which is better in 2026?

Gemini 3.1 Pro significantly outperforms across most benchmarks. Kimi K2.5 is 4.7x cheaper per token.

Verdict: Gemini 3.1 Pro vs Kimi K2.5 — which is better?

Gemini 3.1 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 3.1 Pro outperforms in 10 benchmarks (BrowseComp, FrontierSWE, GPQA, Humanity's Last Exam, LiveBench, MMMU-Pro, SciCode, SWE-Bench Pro, SWE-Bench Verified, Terminal-Bench 2.0), while Kimi K2.5 is better at 0 benchmarks. Gemini 3.1 Pro significantly outperforms across most benchmarks.

On price, Kimi K2.5 is roughly 4.7x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

Gemini 3.1 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 3.1 Pro if…

  • you want the strongest raw capability — it leads on 10 of 10 shared benchmarks
  • you process long inputs — it offers a 1,048,576 token context window
  • you want the most recent training data — it shipped Feb 2026

Choose Kimi K2.5 if…

  • cost matters — it's about 4.7x cheaper per token
  • you need open weights you can self-host or fine-tune

Performance Benchmarks

Comparative analysis across standard metrics

10 benchmarks

Gemini 3.1 Pro outperforms in 10 benchmarks (BrowseComp, FrontierSWE, GPQA, Humanity's Last Exam, LiveBench, MMMU-Pro, SciCode, SWE-Bench Pro, SWE-Bench Verified, Terminal-Bench 2.0), while Kimi K2.5 is better at 0 benchmarks.

Gemini 3.1 Pro significantly outperforms across most benchmarks.

Wed Jul 15 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Kimi K2.5 costs less

For input processing, Gemini 3.1 Pro ($2.50/1M tokens) is 4.2x more expensive than Kimi K2.5 ($0.60/1M tokens).

For output processing, Gemini 3.1 Pro ($15.00/1M tokens) is 5.0x more expensive than Kimi K2.5 ($3.00/1M tokens).

In conclusion, Gemini 3.1 Pro is more expensive than Kimi K2.5.*

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

Lowest available price from all providers
Wed Jul 15 2026 • llm-stats.com
Google
Gemini 3.1 Pro
Input tokens$2.50
Output tokens$15.00
Best providerGoogle
Moonshot AI
Kimi K2.5
Input tokens$0.60
Output tokens$3.00
Best providerFireworks
Notice missing or incorrect data?Start an Issue→

Context Window

Maximum input and output token capacity

Gemini 3.1 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 3.1 Pro is limited to 65,536 tokens.

Google
Gemini 3.1 Pro
Input1,048,576 tokens
Output65,536 tokens
Moonshot AI
Kimi K2.5
Input262,100 tokens
Output262,100 tokens
Wed Jul 15 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both Gemini 3.1 Pro and Kimi K2.5 support multimodal inputs.

They are both capable of processing various types of data, offering versatility in application.

Gemini 3.1 Pro

Text
Images
Audio
Video

Kimi K2.5

Text
Images
Audio
Video

License

Usage and distribution terms

Gemini 3.1 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.

Gemini 3.1 Pro

Proprietary

Closed source

Kimi K2.5

MIT

Open weights

Release Timeline

When each model was launched

Gemini 3.1 Pro was released on 2026-02-19, while Kimi K2.5 was released on 2026-01-27.

Gemini 3.1 Pro is 1 month newer than Kimi K2.5.

Gemini 3.1 Pro

Feb 19, 2026

4 months ago

3w newer
Kimi K2.5

Jan 27, 2026

5 months ago

Knowledge Cutoff

When training data ends

Gemini 3.1 Pro has a documented knowledge cutoff of 2025-01-31, while Kimi K2.5's cutoff date is not specified.

We can confirm Gemini 3.1 Pro's training data extends to 2025-01-31, but cannot make a direct comparison without Kimi K2.5's cutoff date.

Gemini 3.1 Pro

Jan 2025

Kimi K2.5

—

Provider Availability

Gemini 3.1 Pro is available from Google. Kimi K2.5 is available from Fireworks, Moonshot AI.

Gemini 3.1 Pro

google logo
Google
Input Price:Input: $2.50/1MOutput Price:Output: $15.00/1M

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
* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

Google
Larger context window (1,048,576 tokens)
Higher BrowseComp score (85.9% vs 74.9%)
Higher FrontierSWE score (40.0% vs 26.0%)
Higher GPQA score (94.3% vs 87.6%)
Higher Humanity's Last Exam score (51.4% vs 50.2%)
Higher LiveBench score (79.9% vs 69.1%)
Higher MMMU-Pro score (80.5% vs 78.5%)
Higher SciCode score (59.0% vs 48.7%)
Higher SWE-Bench Pro score (54.2% vs 50.7%)
Higher SWE-Bench Verified score (80.6% vs 76.8%)
Higher Terminal-Bench 2.0 score (68.5% vs 50.8%)
Moonshot AI
Less expensive input tokens
Less expensive output tokens
Has open weights

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against Gemini 3.1 Pro and Kimi K2.5 side-by-side, then vote on the output you prefer.

Gemini 3.1 Pro
✓ Preferred
Kimi K2.5
Open in Playground
AI Model Comparison Table
Feature
Google
Gemini 3.1 Pro
Moonshot AI
Kimi K2.5

FAQ

Common questions about Gemini 3.1 Pro vs Kimi K2.5.

Which is better, Gemini 3.1 Pro or Kimi K2.5?

Gemini 3.1 Pro significantly outperforms across most benchmarks. Gemini 3.1 Pro is made by Google and Kimi K2.5 is made by Moonshot AI. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does Gemini 3.1 Pro compare to Kimi K2.5 in benchmarks?

Gemini 3.1 Pro scores t2-bench: 99.3%, LiveCodeBench Pro: 96.2%, GPQA: 94.3%, MMMLU: 92.6%, BrowseComp: 85.9%. Kimi K2.5 scores AIME 2025: 96.1%, HMMT 2025: 95.4%, InfoVQAtest: 92.6%, OCRBench: 92.3%, MathVista-Mini: 90.1%.

Is Gemini 3.1 Pro cheaper than Kimi K2.5?

Kimi K2.5 is 4.2x cheaper for input tokens. Gemini 3.1 Pro costs $2.50/M input and $15.00/M output via google. Kimi K2.5 costs $0.60/M input and $3.00/M output via fireworks.

What are the context window sizes for Gemini 3.1 Pro and Kimi K2.5?

Gemini 3.1 Pro supports 1.0M tokens and Kimi K2.5 supports 262K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Gemini 3.1 Pro and Kimi K2.5?

Key differences include context window (1.0M vs 262K), input pricing ($2.50 vs $0.60/M), licensing (Proprietary vs MIT). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemini 3.1 Pro and Kimi K2.5?

Gemini 3.1 Pro is developed by Google and Kimi K2.5 is developed by Moonshot AI.

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