Model Comparison

Gemini 3.1 Pro vs Kimi K2-Instruct-0905Which is better in 2026?

Gemini 3.1 Pro significantly outperforms across most benchmarks.

Verdict: Gemini 3.1 Pro vs Kimi K2-Instruct-0905 — which is better?

Gemini 3.1 Pro (by Google) and Kimi K2-Instruct-0905 (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 3 benchmarks (GPQA, Humanity's Last Exam, SWE-Bench Verified), while Kimi K2-Instruct-0905 is better at 0 benchmarks. Gemini 3.1 Pro significantly outperforms across most benchmarks.

Choose Gemini 3.1 Pro if…

  • you want the strongest raw capability — it leads on 3 of 3 shared benchmarks
  • you want the most recent training data — it shipped Feb 2026

Choose Kimi K2-Instruct-0905 if…

  • you need open weights you can self-host or fine-tune

Performance Benchmarks

Comparative analysis across standard metrics

3 benchmarks

Gemini 3.1 Pro outperforms in 3 benchmarks (GPQA, Humanity's Last Exam, SWE-Bench Verified), while Kimi K2-Instruct-0905 is better at 0 benchmarks.

Gemini 3.1 Pro significantly outperforms across most benchmarks.

Sat Jun 13 2026 • llm-stats.com

Arena Performance

Human preference votes

Context Window

Maximum input and output token capacity

Only Gemini 3.1 Pro specifies input context (1,048,576 tokens). Only Gemini 3.1 Pro specifies output context (65,536 tokens).

Google
Gemini 3.1 Pro
Input1,048,576 tokens
Output65,536 tokens
Moonshot AI
Kimi K2-Instruct-0905
Input- tokens
Output- tokens
Sat Jun 13 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Gemini 3.1 Pro supports multimodal inputs, whereas Kimi K2-Instruct-0905 does not.

Gemini 3.1 Pro can handle both text and other forms of data like images, making it suitable for multimodal applications.

Gemini 3.1 Pro

Text
Images
Audio
Video

Kimi K2-Instruct-0905

Text
Images
Audio
Video

License

Usage and distribution terms

Gemini 3.1 Pro is licensed under a proprietary license, while Kimi K2-Instruct-0905 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-Instruct-0905

MIT

Open weights

Release Timeline

When each model was launched

Gemini 3.1 Pro was released on 2026-02-19, while Kimi K2-Instruct-0905 was released on 2025-09-05.

Gemini 3.1 Pro is 6 months newer than Kimi K2-Instruct-0905.

Gemini 3.1 Pro

Feb 19, 2026

3 months ago

5mo newer
Kimi K2-Instruct-0905

Sep 5, 2025

9 months ago

Knowledge Cutoff

When training data ends

Gemini 3.1 Pro has a documented knowledge cutoff of 2025-01-31, while Kimi K2-Instruct-0905'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-Instruct-0905's cutoff date.

Gemini 3.1 Pro

Jan 2025

Kimi K2-Instruct-0905

Outputs Comparison

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Key Takeaways

Larger context window (1,048,576 tokens)
Supports multimodal inputs
Higher GPQA score (94.3% vs 75.1%)
Higher Humanity's Last Exam score (51.4% vs 4.7%)
Higher SWE-Bench Verified score (80.6% vs 65.8%)
Has open weights

Detailed Comparison

AI Model Comparison Table
Feature
Google
Gemini 3.1 Pro
Moonshot AI
Kimi K2-Instruct-0905

FAQ

Common questions about Gemini 3.1 Pro vs Kimi K2-Instruct-0905.

Which is better, Gemini 3.1 Pro or Kimi K2-Instruct-0905?

Gemini 3.1 Pro significantly outperforms across most benchmarks. Gemini 3.1 Pro is made by Google and Kimi K2-Instruct-0905 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-Instruct-0905 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-Instruct-0905 scores MATH-500: 97.4%, MMLU-Redux: 92.7%, IFEval: 89.8%, AutoLogi: 89.5%, MMLU: 89.5%.

What are the context window sizes for Gemini 3.1 Pro and Kimi K2-Instruct-0905?

Gemini 3.1 Pro supports 1.0M tokens and Kimi K2-Instruct-0905 supports an unknown number of 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-Instruct-0905?

Key differences include multimodal support (yes vs no), licensing (Proprietary vs MIT). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemini 3.1 Pro and Kimi K2-Instruct-0905?

Gemini 3.1 Pro is developed by Google and Kimi K2-Instruct-0905 is developed by Moonshot AI.