Model Comparison
Kimi K2.5 vs Claude Sonnet 4.6Which is better in 2026?
Claude Sonnet 4.6 has a slight edge in benchmark performance. Kimi K2.5 is 5.0x cheaper per token.
Verdict: Kimi K2.5 vs Claude Sonnet 4.6 — which is better?
Kimi K2.5 (by Moonshot AI) and Claude Sonnet 4.6 (by Anthropic) 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.
Kimi K2.5 outperforms in 3 benchmarks (BrowseComp, Humanity's Last Exam, MMMU-Pro), while Claude Sonnet 4.6 is better at 4 benchmarks (GPQA, LiveBench, SWE-Bench Verified, Terminal-Bench 2.0). Claude Sonnet 4.6 has a slight edge in benchmark performance.
On price, Kimi K2.5 is roughly 5.0x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Kimi K2.5 also accepts a larger context window (262,100 input tokens), making it the stronger choice for long documents and large codebases.
Choose Kimi K2.5 if…
- cost matters — it's about 5.0x cheaper per token
- you process long inputs — it offers a 262,100 token context window
- you need open weights you can self-host or fine-tune
Choose Claude Sonnet 4.6 if…
- you want the strongest raw capability — it leads on 4 of 7 shared benchmarks
- you want the most recent training data — it shipped Feb 2026
Performance Benchmarks
Comparative analysis across standard metrics
Kimi K2.5 outperforms in 3 benchmarks (BrowseComp, Humanity's Last Exam, MMMU-Pro), while Claude Sonnet 4.6 is better at 4 benchmarks (GPQA, LiveBench, SWE-Bench Verified, Terminal-Bench 2.0).
Claude Sonnet 4.6 has a slight edge in benchmark performance.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
For input processing, Kimi K2.5 ($0.60/1M tokens) is 5.0x cheaper than Claude Sonnet 4.6 ($3.00/1M tokens).
For output processing, Kimi K2.5 ($3.00/1M tokens) is 5.0x cheaper than Claude Sonnet 4.6 ($15.00/1M tokens).
In conclusion, Claude Sonnet 4.6 is more expensive than Kimi K2.5.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
Kimi K2.5 accepts 262,100 input tokens compared to Claude Sonnet 4.6's 200,000 tokens. Kimi K2.5 can generate longer responses up to 262,100 tokens, while Claude Sonnet 4.6 is limited to 64,000 tokens.
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
Claude Sonnet 4.6
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.
MIT
Open weights
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.
Jan 27, 2026
5 months ago
Feb 17, 2026
5 months ago
3w newerKnowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Provider Availability
Kimi K2.5 is available from Fireworks, Moonshot AI. Claude Sonnet 4.6 is available from Anthropic.
Kimi K2.5
Claude Sonnet 4.6
Outputs Comparison
Key Takeaways
Kimi K2.5
View detailsMoonshot AI
Claude Sonnet 4.6
View detailsAnthropic
Detailed Comparison
Interactive Arena
Judge for yourself.
Run your own prompts against Kimi K2.5 and Claude Sonnet 4.6 side-by-side, then vote on the output you prefer.
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FAQ
Common questions about Kimi K2.5 vs Claude Sonnet 4.6.