Kimi K2.5 vs GPT-5.2 Codex Comparison
Comparing Kimi K2.5 and GPT-5.2 Codex across benchmarks, pricing, and capabilities.
Performance Benchmarks
Comparative analysis across standard metrics
Kimi K2.5 outperforms in 0 benchmarks, while GPT-5.2 Codex is better at 2 benchmarks (SWE-Bench Pro, Terminal-Bench 2.0).
GPT-5.2 Codex significantly outperforms across most benchmarks.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
Cost data unavailable.
Context Window
Maximum input and output token capacity
Only GPT-5.2 Codex specifies input context (400,000 tokens). Only GPT-5.2 Codex specifies output context (128,000 tokens).
Input Capabilities
Supported data types and modalities
Both Kimi K2.5 and GPT-5.2 Codex support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
Kimi K2.5
GPT-5.2 Codex
License
Usage and distribution terms
Kimi K2.5 is licensed under MIT, while GPT-5.2 Codex 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 GPT-5.2 Codex was released on 2026-01-14.
Kimi K2.5 is 0 month newer than GPT-5.2 Codex.
Jan 27, 2026
1 months ago
1w newerJan 14, 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.
Outputs Comparison
Key Takeaways
Kimi K2.5
View detailsMoonshot AI
Detailed Comparison
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