Model Comparison
GPT-5.4 vs Kimi K2.7 CodeWhich is better in 2026?
Kimi K2.7 Code significantly outperforms across most benchmarks. Kimi K2.7 Code is 3.3x cheaper per token.
Verdict: GPT-5.4 vs Kimi K2.7 Code — which is better?
GPT-5.4 (by OpenAI) 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.
GPT-5.4 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 3.3x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
GPT-5.4 also accepts a larger context window (1,000,000 input tokens), making it the stronger choice for long documents and large codebases.
Choose GPT-5.4 if…
- you process long inputs — it offers a 1,000,000 token context window
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 3.3x cheaper per token
- 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
GPT-5.4 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, GPT-5.4 ($2.50/1M tokens) is 2.6x more expensive than Kimi K2.7 Code ($0.95/1M tokens).
For output processing, GPT-5.4 ($15.00/1M tokens) is 3.8x more expensive than Kimi K2.7 Code ($4.00/1M tokens).
In conclusion, GPT-5.4 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-5.4 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 262,144 tokens, while GPT-5.4 is limited to 128,000 tokens.
Input Capabilities
Supported data types and modalities
Both GPT-5.4 and Kimi K2.7 Code support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
GPT-5.4
Kimi K2.7 Code
License
Usage and distribution terms
GPT-5.4 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-5.4 was released on 2026-03-05, while Kimi K2.7 Code was released on 2026-06-12.
Kimi K2.7 Code is 3 months newer than GPT-5.4.
Mar 5, 2026
3 months ago
Jun 12, 2026
1 days ago
3mo newerKnowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Provider Availability
GPT-5.4 is available from OpenAI. Kimi K2.7 Code is available from Moonshot AI, Novita.
GPT-5.4
Kimi K2.7 Code
Outputs Comparison
Key Takeaways
GPT-5.4
View detailsOpenAI
Kimi K2.7 Code
View detailsMoonshot AI
Detailed Comparison
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FAQ
Common questions about GPT-5.4 vs Kimi K2.7 Code.