Claude Sonnet 5 vs Kimi K2.7 Code
Claude Sonnet 5 leads the LLM Stats Score 48.5 to 39.3. Kimi K2.7 Code is 2.8x cheaper per token.
Anthropic · Moonshot AI · Updated for 2026
Which is better?
Claude Sonnet 5 leads the overall LLM Stats Score 48.5 to 39.3, ranking #21 overall.
In the 2 individual benchmarks reported for both models, Claude Sonnet 5 wins 2; this is a narrower head-to-head signal than the composite indexes.
On price, Kimi K2.7 Code is roughly 2.8x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Claude Sonnet 5 also accepts a larger context window (1,000,000 input tokens), making it the stronger choice for long documents and large codebases.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose Claude Sonnet 5
- overall performance matters — it scores 48.5 and ranks #21 on LLM Stats
- your work emphasizes reasoning — it leads those capability indexes
- you value its reported benchmark strengths — it wins 2 of 2 exact shared results
- you process long inputs — it offers a 1,000,000 token context window
- you want the most recent training data — it shipped Jun 2026
Choose Kimi K2.7 Code
- cost matters — it's about 2.8x cheaper per token
- you need open weights you can self-host or fine-tune
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
23 reported for Claude Sonnet 5 · 9 for Kimi K2.7 Code
Claude Sonnet 5 outperforms in 2 benchmarks (DeepSWE 1.1, FrontierCode 1.1), while Kimi K2.7 Code is better at 0 benchmarks.
Claude Sonnet 5 significantly outperforms across most benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, Claude Sonnet 5 ($2.00/1M tokens) is 2.7x more expensive than Kimi K2.7 Code ($0.74/1M tokens).
For output processing, Claude Sonnet 5 ($10.00/1M tokens) is 2.9x more expensive than Kimi K2.7 Code ($3.50/1M tokens).
In conclusion, Claude Sonnet 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
Claude Sonnet 5 accepts 1,000,000 input tokens compared to Kimi K2.7 Code's 262,144 tokens. Kimi K2.7 Code can generate longer responses up to 131,072 tokens, while Claude Sonnet 5 is limited to 64,000 tokens.
Input capabilities
Documented input modalities across available providers
Both Claude Sonnet 5 and Kimi K2.7 Code support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
Claude Sonnet 5
Kimi K2.7 Code
License
Usage and distribution terms
Claude Sonnet 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 Sonnet 5 was released on 2026-06-30, while Kimi K2.7 Code was released on 2026-06-12.
Claude Sonnet 5 is 1 month newer than Kimi K2.7 Code.
Jun 30, 2026
2 months ago
2w newerJun 12, 2026
2 months ago
Knowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Provider Availability
Claude Sonnet 5 is available from Anthropic. Kimi K2.7 Code is available from DeepInfra, Fireworks, Moonshot AI, Novita, Together.
Claude Sonnet 5
Kimi K2.7 Code
Outputs Comparison
Judge for yourself.
Run your own prompts against Claude Sonnet 5 and Kimi K2.7 Code side-by-side, then vote on the output you prefer.
FAQ
Common questions about Claude Sonnet 5 vs Kimi K2.7 Code.