Model Comparison

Gemini 3.1 Pro vs Kimi K2.7 CodeWhich is better in 2026?

Kimi K2.7 Code significantly outperforms across most benchmarks. Kimi K2.7 Code is 3.3x cheaper per token.

Verdict: Gemini 3.1 Pro vs Kimi K2.7 Code — which is better?

Gemini 3.1 Pro (by Google) and Kimi K2.7 Code (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 0 benchmarks, while Kimi K2.7 Code is better at 1 benchmark (MCP Atlas). Kimi K2.7 Code significantly outperforms across most benchmarks.

On price, Kimi K2.7 Code is roughly 3.3x 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 process long inputs — it offers a 1,048,576 token context window

Choose Kimi K2.7 Code if…

  • you want the strongest raw capability — it leads on 1 of 1 shared benchmarks
  • cost matters — it's about 3.3x cheaper per token
  • you want the most recent training data — it shipped Jun 2026
  • you need open weights you can self-host or fine-tune
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Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

Gemini 3.1 Pro outperforms in 0 benchmarks, while Kimi K2.7 Code is better at 1 benchmark (MCP Atlas).

Kimi K2.7 Code significantly outperforms across most benchmarks.

Sat Jun 13 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Kimi K2.7 Code costs less

For input processing, Gemini 3.1 Pro ($2.50/1M tokens) is 2.6x more expensive than Kimi K2.7 Code ($0.95/1M tokens).

For output processing, Gemini 3.1 Pro ($15.00/1M tokens) is 3.8x more expensive than Kimi K2.7 Code ($4.00/1M tokens).

In conclusion, Gemini 3.1 Pro is more expensive than Kimi K2.7 Code.*

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

Lowest available price from all providers
Sat Jun 13 2026 • llm-stats.com
Google
Gemini 3.1 Pro
Input tokens$2.50
Output tokens$15.00
Best providerGoogle
Moonshot AI
Kimi K2.7 Code
Input tokens$0.95
Output tokens$4.00
Best providerUnknown Organization
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 K2.7 Code's 262,144 tokens. Kimi K2.7 Code can generate longer responses up to 262,144 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 K2.7 Code
Input262,144 tokens
Output262,144 tokens
Sat Jun 13 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both Gemini 3.1 Pro and Kimi K2.7 Code 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 K2.7 Code

Text
Images
Audio
Video

License

Usage and distribution terms

Gemini 3.1 Pro is licensed under a proprietary license, while Kimi K2.7 Code uses Modified MIT License.

License differences may affect how you can use these models in commercial or open-source projects.

Gemini 3.1 Pro

Proprietary

Closed source

Kimi K2.7 Code

Modified MIT License

Open weights

Release Timeline

When each model was launched

Gemini 3.1 Pro was released on 2026-02-19, while Kimi K2.7 Code was released on 2026-06-12.

Kimi K2.7 Code is 4 months newer than Gemini 3.1 Pro.

Gemini 3.1 Pro

Feb 19, 2026

3 months ago

Kimi K2.7 Code

Jun 12, 2026

1 days ago

3mo newer

Knowledge Cutoff

When training data ends

Gemini 3.1 Pro has a documented knowledge cutoff of 2025-01-31, while Kimi K2.7 Code'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 K2.7 Code's cutoff date.

Gemini 3.1 Pro

Jan 2025

Kimi K2.7 Code

—

Provider Availability

Gemini 3.1 Pro is available from Google. Kimi K2.7 Code is available from Moonshot AI, Novita.

Gemini 3.1 Pro

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

Kimi K2.7 Code

moonshot logo
Unknown Organization
Input Price:Input: $0.95/1MOutput Price:Output: $4.00/1M
novita logo
Novita
Input Price:Input: $0.95/1MOutput Price:Output: $4.00/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

Google
Larger context window (1,048,576 tokens)
Moonshot AI
Less expensive input tokens
Less expensive output tokens
Has open weights
Higher MCP Atlas score (76.0% vs 69.2%)

Detailed Comparison

AI Model Comparison Table
Feature
Google
Gemini 3.1 Pro
Moonshot AI
Kimi K2.7 Code

FAQ

Common questions about Gemini 3.1 Pro vs Kimi K2.7 Code.

Which is better, Gemini 3.1 Pro or Kimi K2.7 Code?

Kimi K2.7 Code significantly outperforms across most benchmarks. Gemini 3.1 Pro is made by Google and Kimi K2.7 Code 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 K2.7 Code 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 K2.7 Code scores MCP-Mark: 81.1%, MCP Atlas: 76.0%, Kimi Code Bench v2: 62.0%, Program Bench: 53.6%, Kimi Claw 24/7 Bench: 46.9%.

Is Gemini 3.1 Pro cheaper than Kimi K2.7 Code?

Kimi K2.7 Code is 2.6x cheaper for input tokens. Gemini 3.1 Pro costs $2.50/M input and $15.00/M output via google. Kimi K2.7 Code costs $0.95/M input and $4.00/M output via moonshot.

What are the context window sizes for Gemini 3.1 Pro and Kimi K2.7 Code?

Gemini 3.1 Pro supports 1.0M tokens and Kimi K2.7 Code 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 K2.7 Code?

Key differences include context window (1.0M vs 262K), input pricing ($2.50 vs $0.95/M), licensing (Proprietary vs Modified MIT License). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemini 3.1 Pro and Kimi K2.7 Code?

Gemini 3.1 Pro is developed by Google and Kimi K2.7 Code is developed by Moonshot AI.

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