Model Comparison

Gemini 3.1 Pro vs Kimi K2.6

Gemini 3.1 Pro significantly outperforms across most benchmarks. Kimi K2.6 is 3.3x cheaper per token.

Want to compare interactively?Try the playground

Performance Benchmarks

Comparative analysis across standard metrics

9 benchmarks

Gemini 3.1 Pro outperforms in 7 benchmarks (APEX-Agents, GPQA, Humanity's Last Exam, MMMU-Pro, SciCode, SWE-Bench Verified, Terminal-Bench 2.0), while Kimi K2.6 is better at 2 benchmarks (BrowseComp, SWE-Bench Pro).

Gemini 3.1 Pro significantly outperforms across most benchmarks.

Mon Apr 20 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Kimi K2.6 costs less

For input processing, Gemini 3.1 Pro ($2.50/1M tokens) is 2.6x more expensive than Kimi K2.6 ($0.95/1M tokens).

For output processing, Gemini 3.1 Pro ($15.00/1M tokens) is 3.8x more expensive than Kimi K2.6 ($4.00/1M tokens).

In conclusion, Gemini 3.1 Pro is more expensive than Kimi K2.6.*

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

Lowest available price from all providers
Mon Apr 20 2026 • llm-stats.com
Google
Gemini 3.1 Pro
Input tokens$2.50
Output tokens$15.00
Best providerGoogle
Moonshot AI
Kimi K2.6
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 K2.6's 262,144 tokens. Kimi K2.6 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 K2.6
Input262,144 tokens
Output262,144 tokens
Mon Apr 20 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both Gemini 3.1 Pro and Kimi K2.6 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 K2.6

Text
Images
Audio
Video

License

Usage and distribution terms

Gemini 3.1 Pro is licensed under a proprietary license, while Kimi K2.6 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 K2.6

Modified MIT License

Open weights

Release Timeline

When each model was launched

Gemini 3.1 Pro was released on 2026-02-19, while Kimi K2.6 was released on 2026-04-20.

Kimi K2.6 is 2 months newer than Gemini 3.1 Pro.

Gemini 3.1 Pro

Feb 19, 2026

2 months ago

Kimi K2.6

Apr 20, 2026

0 days ago

2mo newer

Knowledge Cutoff

When training data ends

Gemini 3.1 Pro has a documented knowledge cutoff of 2025-01-31, while Kimi K2.6'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 K2.6's cutoff date.

Gemini 3.1 Pro

Jan 2025

Kimi K2.6

—

Provider Availability

Gemini 3.1 Pro is available from Google. Kimi K2.6 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 K2.6

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)
Higher APEX-Agents score (33.5% vs 27.9%)
Higher GPQA score (94.3% vs 90.5%)
Higher Humanity's Last Exam score (51.4% vs 36.4%)
Higher MMMU-Pro score (80.5% vs 80.1%)
Higher SciCode score (59.0% vs 52.2%)
Higher SWE-Bench Verified score (80.6% vs 80.2%)
Higher Terminal-Bench 2.0 score (68.5% vs 66.7%)
Moonshot AI
Less expensive input tokens
Less expensive output tokens
Has open weights
Higher BrowseComp score (86.3% vs 85.9%)
Higher SWE-Bench Pro score (58.6% vs 54.2%)

Detailed Comparison

AI Model Comparison Table
Feature
Google
Gemini 3.1 Pro
Moonshot AI
Kimi K2.6

FAQ

Common questions about Gemini 3.1 Pro vs Kimi K2.6

Gemini 3.1 Pro significantly outperforms across most benchmarks. Gemini 3.1 Pro is made by Google and Kimi K2.6 is made by Moonshot AI. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.
Gemini 3.1 Pro scores t2-bench: 99.3%, LiveCodeBench Pro: 96.2%, GPQA: 94.3%, MMMLU: 92.6%, BrowseComp: 85.9%. Kimi K2.6 scores V*: 96.9%, AIME 2026: 96.4%, MathVision: 93.2%, HMMT Feb 26: 92.7%, GPQA: 90.5%.
Kimi K2.6 is 2.6x cheaper for input tokens. Gemini 3.1 Pro costs $2.50/M input and $15.00/M output via google. Kimi K2.6 costs $0.95/M input and $4.00/M output via moonshot.
Gemini 3.1 Pro supports 1.0M tokens and Kimi K2.6 supports 262K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
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.
Gemini 3.1 Pro is developed by Google and Kimi K2.6 is developed by Moonshot AI.