Model Comparison

Gemini 3 Pro vs Kimi K2-Instruct-0905

Gemini 3 Pro significantly outperforms across most benchmarks.

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Performance Benchmarks

Comparative analysis across standard metrics

5 benchmarks

Gemini 3 Pro outperforms in 5 benchmarks (AIME 2025, GPQA, Humanity's Last Exam, SimpleQA, SWE-Bench Verified), while Kimi K2-Instruct-0905 is better at 0 benchmarks.

Gemini 3 Pro significantly outperforms across most benchmarks.

Sat May 23 2026 • llm-stats.com

Arena Performance

Human preference votes

Context Window

Maximum input and output token capacity

Only Gemini 3 Pro specifies input context (1,048,576 tokens). Only Gemini 3 Pro specifies output context (65,536 tokens).

Gemini 3 Pro

Input1,048,576 tokens

Output65,536 tokens

Kimi K2-Instruct-0905

Input- tokens

Output- tokens

Sat May 23 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Gemini 3 Pro supports multimodal inputs, whereas Kimi K2-Instruct-0905 does not.

Gemini 3 Pro can handle both text and other forms of data like images, making it suitable for multimodal applications.

Gemini 3 Pro

Text

Images

Audio

Video

Kimi K2-Instruct-0905

Text

Images

Audio

Video

License

Usage and distribution terms

Gemini 3 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 Pro

Proprietary

Closed source

Kimi K2-Instruct-0905

MIT

Open weights

Release Timeline

When each model was launched

Gemini 3 Pro was released on 2025-11-18, while Kimi K2-Instruct-0905 was released on 2025-09-05.

Gemini 3 Pro is 2 months newer than Kimi K2-Instruct-0905.

Gemini 3 Pro

Nov 18, 2025

6 months ago

2mo newer

Kimi K2-Instruct-0905

Sep 5, 2025

8 months ago

Knowledge Cutoff

When training data ends

Gemini 3 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 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 Pro

Jan 2025

Kimi K2-Instruct-0905

—

Outputs Comparison

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Key Takeaways

Gemini 3 Pro

View details

Google

Larger context window (1,048,576 tokens)

Supports multimodal inputs

Higher AIME 2025 score (100.0% vs 49.5%)

Higher GPQA score (91.9% vs 75.1%)

Higher Humanity's Last Exam score (45.8% vs 4.7%)

Higher SimpleQA score (72.1% vs 31.0%)

Higher SWE-Bench Verified score (76.2% vs 65.8%)

Detailed Comparison

AI Model Comparison Table
Feature	Gemini 3 Pro	Kimi K2-Instruct-0905

FAQ

Common questions about Gemini 3 Pro vs Kimi K2-Instruct-0905.

Which is better, Gemini 3 Pro or Kimi K2-Instruct-0905?

Gemini 3 Pro significantly outperforms across most benchmarks. Gemini 3 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 Pro compare to Kimi K2-Instruct-0905 in benchmarks?

Gemini 3 Pro scores AIME 2025: 100.0%, Vending-Bench 2: 100.0%, Global PIQA: 93.4%, GPQA: 91.9%, MMMLU: 91.8%. 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 Pro and Kimi K2-Instruct-0905?

Gemini 3 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 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 Pro and Kimi K2-Instruct-0905?

Gemini 3 Pro is developed by Google and Kimi K2-Instruct-0905 is developed by Moonshot AI.