Kimi K2.5 vs Claude Sonnet 4.6 Comparison

Comparing Kimi K2.5 and Claude Sonnet 4.6 across benchmarks, pricing, and capabilities.

Performance Benchmarks

Comparative analysis across standard metrics

6 benchmarks

Kimi K2.5 outperforms in 3 benchmarks (BrowseComp, Humanity's Last Exam, MMMU-Pro), while Claude Sonnet 4.6 is better at 3 benchmarks (GPQA, SWE-Bench Verified, Terminal-Bench 2.0).

Both models are evenly matched across the benchmarks.

Tue Mar 17 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Cost data unavailable.

Lowest available price from all providers
Tue Mar 17 2026 • llm-stats.com
Moonshot AI
Kimi K2.5
Input tokens$0.00
Output tokens$0.00
Best providerUnknown Organization
Anthropic
Claude Sonnet 4.6
Input tokens$0.00
Output tokens$0.00
Best providerUnknown Organization
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Input Capabilities

Supported data types and modalities

Both Kimi K2.5 and Claude Sonnet 4.6 support multimodal inputs.

They are both capable of processing various types of data, offering versatility in application.

Kimi K2.5

Text
Images
Audio
Video

Claude Sonnet 4.6

Text
Images
Audio
Video

License

Usage and distribution terms

Kimi K2.5 is licensed under MIT, while Claude Sonnet 4.6 uses a proprietary license.

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

Kimi K2.5

MIT

Open weights

Claude Sonnet 4.6

Proprietary

Closed source

Release Timeline

When each model was launched

Kimi K2.5 was released on 2026-01-27, while Claude Sonnet 4.6 was released on 2026-02-17.

Claude Sonnet 4.6 is 1 month newer than Kimi K2.5.

Kimi K2.5

Jan 27, 2026

1 months ago

Claude Sonnet 4.6

Feb 17, 2026

4 weeks ago

3w newer

Knowledge Cutoff

When training data ends

Neither model specifies a knowledge cutoff date.

Unable to compare the recency of their training data.

No cutoff dates available

Outputs Comparison

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Key Takeaways

Has open weights
Higher BrowseComp score (74.9% vs 74.7%)
Higher Humanity's Last Exam score (50.2% vs 49.0%)
Higher MMMU-Pro score (78.5% vs 75.6%)
Higher GPQA score (89.9% vs 87.6%)
Higher SWE-Bench Verified score (79.6% vs 76.8%)
Higher Terminal-Bench 2.0 score (59.1% vs 50.8%)

Detailed Comparison

AI Model Comparison Table
Feature
Moonshot AI
Kimi K2.5
Anthropic
Claude Sonnet 4.6