Model Comparison

Gemini 3 Pro vs Kimi K2-Thinking-0905Which is better in 2026?

Gemini 3 Pro has a slight edge in benchmark performance. Kimi K2-Thinking-0905 is 5.3x cheaper per token.

Verdict: Gemini 3 Pro vs Kimi K2-Thinking-0905 — which is better?

Gemini 3 Pro (by Google) and Kimi K2-Thinking-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 Pro outperforms in 2 benchmarks (GPQA, SWE-Bench Verified), while Kimi K2-Thinking-0905 is better at 1 benchmark (Humanity's Last Exam). Gemini 3 Pro has a slight edge in benchmark performance.

On price, Kimi K2-Thinking-0905 is roughly 5.3x 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 process long inputs — it offers a 1,048,576 token context window
  • you want the most recent training data — it shipped Nov 2025

Choose Kimi K2-Thinking-0905 if…

  • cost matters — it's about 5.3x cheaper per token
  • you need open weights you can self-host or fine-tune
Want to compare interactively?Try the playground

Performance Benchmarks

Comparative analysis across standard metrics

4 benchmarks

Gemini 3 Pro outperforms in 2 benchmarks (GPQA, SWE-Bench Verified), while Kimi K2-Thinking-0905 is better at 1 benchmark (Humanity's Last Exam).

Gemini 3 Pro has a slight edge in benchmark performance.

Sun Jun 07 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Kimi K2-Thinking-0905 costs less

For input processing, Gemini 3 Pro ($2.00/1M tokens) is 4.3x more expensive than Kimi K2-Thinking-0905 ($0.47/1M tokens).

For output processing, Gemini 3 Pro ($12.00/1M tokens) is 6.0x more expensive than Kimi K2-Thinking-0905 ($2.00/1M tokens).

In conclusion, Gemini 3 Pro is more expensive than Kimi K2-Thinking-0905.*

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

Lowest available price from all providers
Sun Jun 07 2026 • llm-stats.com
Google
Gemini 3 Pro
Input tokens$2.00
Output tokens$12.00
Best providerGoogle
Moonshot AI
Kimi K2-Thinking-0905
Input tokens$0.47
Output tokens$2.00
Best providerDeepinfra
Notice missing or incorrect data?Start an Issue→

Context Window

Maximum input and output token capacity

Gemini 3 Pro accepts 1,048,576 input tokens compared to Kimi K2-Thinking-0905's 262,144 tokens. Kimi K2-Thinking-0905 can generate longer responses up to 262,144 tokens, while Gemini 3 Pro is limited to 65,536 tokens.

Google
Gemini 3 Pro
Input1,048,576 tokens
Output65,536 tokens
Moonshot AI
Kimi K2-Thinking-0905
Input262,144 tokens
Output262,144 tokens
Sun Jun 07 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Gemini 3 Pro supports multimodal inputs, whereas Kimi K2-Thinking-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-Thinking-0905

Text
Images
Audio
Video

License

Usage and distribution terms

Gemini 3 Pro is licensed under a proprietary license, while Kimi K2-Thinking-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-Thinking-0905

MIT

Open weights

Release Timeline

When each model was launched

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

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

Gemini 3 Pro

Nov 18, 2025

6 months ago

2mo newer
Kimi K2-Thinking-0905

Sep 5, 2025

9 months ago

Knowledge Cutoff

When training data ends

Gemini 3 Pro has a documented knowledge cutoff of 2025-01-31, while Kimi K2-Thinking-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-Thinking-0905's cutoff date.

Gemini 3 Pro

Jan 2025

Kimi K2-Thinking-0905

—

Provider Availability

Gemini 3 Pro is available from Google. Kimi K2-Thinking-0905 is available from DeepInfra, Novita, Fireworks.

Gemini 3 Pro

google logo
Google
Input Price:Input: $2.00/1MOutput Price:Output: $12.00/1M

Kimi K2-Thinking-0905

deepinfra logo
Deepinfra
Input Price:Input: $0.47/1MOutput Price:Output: $2.00/1M
novita logo
Novita
Input Price:Input: $0.48/1MOutput Price:Output: $2.00/1M
fireworks logo
Fireworks
Input Price:Input: $0.60/1MOutput Price:Output: $2.50/1M
* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

Google
Larger context window (1,048,576 tokens)
Supports multimodal inputs
Higher GPQA score (91.9% vs 84.5%)
Higher SWE-Bench Verified score (76.2% vs 71.3%)
Moonshot AI
Less expensive input tokens
Less expensive output tokens
Has open weights
Higher Humanity's Last Exam score (51.0% vs 45.8%)

Detailed Comparison

AI Model Comparison Table
Feature
Google
Gemini 3 Pro
Moonshot AI
Kimi K2-Thinking-0905

FAQ

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

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

Gemini 3 Pro has a slight edge in benchmark performance. Gemini 3 Pro is made by Google and Kimi K2-Thinking-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-Thinking-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-Thinking-0905 scores AIME 2025: 100.0%, HMMT 2025: 97.5%, MMLU-Redux: 94.4%, FRAMES: 87.0%, MMLU-Pro: 84.6%.

Is Gemini 3 Pro cheaper than Kimi K2-Thinking-0905?

Kimi K2-Thinking-0905 is 4.3x cheaper for input tokens. Gemini 3 Pro costs $2.00/M input and $12.00/M output via google. Kimi K2-Thinking-0905 costs $0.47/M input and $2.00/M output via deepinfra.

What are the context window sizes for Gemini 3 Pro and Kimi K2-Thinking-0905?

Gemini 3 Pro supports 1.0M tokens and Kimi K2-Thinking-0905 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 Pro and Kimi K2-Thinking-0905?

Key differences include context window (1.0M vs 262K), input pricing ($2.00 vs $0.47/M), 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-Thinking-0905?

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

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