GPT-5.6 Sol vs Kimi K2.7 Code
GPT-5.6 Sol leads the LLM Stats Score 57.2 to 39.6. Kimi K2.7 Code is 7.9x cheaper per token.
OpenAI · Moonshot AI · Updated for 2026
Which is better?
GPT-5.6 Sol leads the overall LLM Stats Score 57.2 to 39.6, ranking #1 overall.
In the 2 individual benchmarks reported for both models, GPT-5.6 Sol wins 2; this is a narrower head-to-head signal than the composite indexes.
On price, Kimi K2.7 Code is roughly 7.9x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
GPT-5.6 Sol also accepts a larger context window (1,050,000 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 GPT-5.6 Sol
- overall performance matters — it scores 57.2 and ranks #1 on LLM Stats
- your work emphasizes reasoning and coding — 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 1,050,000 token context window
- you want the most recent training data — it shipped Jul 2026
Choose Kimi K2.7 Code
- cost matters — it's about 7.9x 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
44 reported for GPT-5.6 Sol · 9 for Kimi K2.7 Code
GPT-5.6 Sol outperforms in 2 benchmarks (DeepSWE 1.1, FrontierCode 1.1), while Kimi K2.7 Code is better at 0 benchmarks.
GPT-5.6 Sol 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, GPT-5.6 Sol ($5.00/1M tokens) is 6.8x more expensive than Kimi K2.7 Code ($0.74/1M tokens).
For output processing, GPT-5.6 Sol ($30.00/1M tokens) is 8.6x more expensive than Kimi K2.7 Code ($3.50/1M tokens).
In conclusion, GPT-5.6 Sol 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
GPT-5.6 Sol accepts 1,050,000 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 GPT-5.6 Sol is limited to 128,000 tokens.
Input capabilities
Documented input modalities across available providers
Both GPT-5.6 Sol and Kimi K2.7 Code support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
GPT-5.6 Sol
Kimi K2.7 Code
License
Usage and distribution terms
GPT-5.6 Sol 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
GPT-5.6 Sol was released on 2026-07-09, while Kimi K2.7 Code was released on 2026-06-12.
GPT-5.6 Sol is 1 month newer than Kimi K2.7 Code.
Jul 9, 2026
1 months ago
3w newerJun 12, 2026
2 months ago
Knowledge Cutoff
When training data ends
GPT-5.6 Sol has a documented knowledge cutoff of 2026-02-16, while Kimi K2.7 Code's cutoff date is not specified.
We can confirm GPT-5.6 Sol's training data extends to 2026-02-16, but cannot make a direct comparison without Kimi K2.7 Code's cutoff date.
Feb 2026
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Provider Availability
GPT-5.6 Sol is available from OpenAI. Kimi K2.7 Code is available from DeepInfra, Fireworks, Moonshot AI, Novita, Together.
GPT-5.6 Sol
Kimi K2.7 Code
Outputs Comparison
Judge for yourself.
Run your own prompts against GPT-5.6 Sol and Kimi K2.7 Code side-by-side, then vote on the output you prefer.
FAQ
Common questions about GPT-5.6 Sol vs Kimi K2.7 Code.