Model Comparison
Claude Opus 4.5 vs Kimi K2.7 CodeWhich is better in 2026?
Kimi K2.7 Code significantly outperforms across most benchmarks. Kimi K2.7 Code is 5.8x cheaper per token.
Verdict: Claude Opus 4.5 vs Kimi K2.7 Code — which is better?
Claude Opus 4.5 (by Anthropic) 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.
Claude Opus 4.5 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 5.8x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Kimi K2.7 Code also accepts a larger context window (262,144 input tokens), making it the stronger choice for long documents and large codebases.
Choose Claude Opus 4.5 if…
- you want predictable pricing at $5.00/M input and $25.00/M output
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 5.8x cheaper per token
- you process long inputs — it offers a 262,144 token context window
- you want the most recent training data — it shipped Jun 2026
- you need open weights you can self-host or fine-tune
Performance Benchmarks
Comparative analysis across standard metrics
Claude Opus 4.5 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.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
For input processing, Claude Opus 4.5 ($5.00/1M tokens) is 5.3x more expensive than Kimi K2.7 Code ($0.95/1M tokens).
For output processing, Claude Opus 4.5 ($25.00/1M tokens) is 6.3x more expensive than Kimi K2.7 Code ($4.00/1M tokens).
In conclusion, Claude Opus 4.5 is more expensive than Kimi K2.7 Code.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
Kimi K2.7 Code accepts 262,144 input tokens compared to Claude Opus 4.5's 200,000 tokens. Kimi K2.7 Code can generate longer responses up to 262,144 tokens, while Claude Opus 4.5 is limited to 64,000 tokens.
Input Capabilities
Supported data types and modalities
Both Claude Opus 4.5 and Kimi K2.7 Code support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
Claude Opus 4.5
Kimi K2.7 Code
License
Usage and distribution terms
Claude Opus 4.5 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.
Proprietary
Closed source
Modified MIT License
Open weights
Release Timeline
When each model was launched
Claude Opus 4.5 was released on 2025-11-24, while Kimi K2.7 Code was released on 2026-06-12.
Kimi K2.7 Code is 7 months newer than Claude Opus 4.5.
Nov 24, 2025
6 months ago
Jun 12, 2026
1 days ago
6mo newerKnowledge Cutoff
When training data ends
Claude Opus 4.5 has a documented knowledge cutoff of 2025-03-31, while Kimi K2.7 Code's cutoff date is not specified.
We can confirm Claude Opus 4.5's training data extends to 2025-03-31, but cannot make a direct comparison without Kimi K2.7 Code's cutoff date.
Mar 2025
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Provider Availability
Claude Opus 4.5 is available from Anthropic. Kimi K2.7 Code is available from Moonshot AI, Novita.
Claude Opus 4.5
Kimi K2.7 Code
Outputs Comparison
Key Takeaways
Claude Opus 4.5
View detailsAnthropic
No standout differentiators in the data we have for this pair.
Kimi K2.7 Code
View detailsMoonshot AI
Detailed Comparison
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FAQ
Common questions about Claude Opus 4.5 vs Kimi K2.7 Code.