GPT-5.2 vs Kimi K2-Thinking-0905
GPT-5.2 leads the LLM Stats Score 41.4 to 36.0. Kimi K2-Thinking-0905 is 5.6x cheaper per token.
OpenAI · Moonshot AI · Updated for 2026
Which is better?
GPT-5.2 leads the overall LLM Stats Score 41.4 to 36.0, ranking #51 overall.
In the 6 individual benchmarks reported for both models, GPT-5.2 wins 4; this is a narrower head-to-head signal than the composite indexes.
On price, Kimi K2-Thinking-0905 is roughly 5.6x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
GPT-5.2 also accepts a larger context window (400,000 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-5.2
- overall performance matters — it scores 41.4 and ranks #51 on LLM Stats
- you value its reported benchmark strengths — it wins 4 of 6 exact shared results
- you process long inputs — it offers a 400,000 token context window
- you want the most recent training data — it shipped Dec 2025
Choose Kimi K2-Thinking-0905
- cost matters — it's about 5.6x 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
24 reported for GPT-5.2 · 21 for Kimi K2-Thinking-0905
GPT-5.2 outperforms in 4 benchmarks (BrowseComp, GPQA, HMMT 2025, SWE-Bench Verified), while Kimi K2-Thinking-0905 is better at 1 benchmark (Humanity's Last Exam).
GPT-5.2 shows notably better performance in the majority of benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, GPT-5.2 ($1.75/1M tokens) is 3.7x more expensive than Kimi K2-Thinking-0905 ($0.47/1M tokens).
For output processing, GPT-5.2 ($14.00/1M tokens) is 7.0x more expensive than Kimi K2-Thinking-0905 ($2.00/1M tokens).
In conclusion, GPT-5.2 is more expensive than Kimi K2-Thinking-0905.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
GPT-5.2 accepts 400,000 input tokens compared to Kimi K2-Thinking-0905's 262,144 tokens. Kimi K2-Thinking-0905 can generate longer responses up to 262,144 tokens, while GPT-5.2 is limited to 128,000 tokens.
Input capabilities
Documented input modalities across available providers
GPT-5.2 supports multimodal inputs, whereas Kimi K2-Thinking-0905 does not.
GPT-5.2 can handle both text and other forms of data like images, making it suitable for multimodal applications.
GPT-5.2
Kimi K2-Thinking-0905
License
Usage and distribution terms
GPT-5.2 is licensed under a proprietary license, while Kimi K2-Thinking-0905 uses MIT.
License differences may affect how you can use these models in commercial or open-source projects.
Proprietary
Closed source
MIT
Open weights
Release Timeline
When each model was launched
GPT-5.2 was released on 2025-12-11, while Kimi K2-Thinking-0905 was released on 2025-09-05.
GPT-5.2 is 3 months newer than Kimi K2-Thinking-0905.
Dec 11, 2025
9 months ago
3mo newerSep 5, 2025
1.0 years ago
Knowledge Cutoff
When training data ends
GPT-5.2 has a documented knowledge cutoff of 2025-08-25, while Kimi K2-Thinking-0905's cutoff date is not specified.
We can confirm GPT-5.2's training data extends to 2025-08-25, but cannot make a direct comparison without Kimi K2-Thinking-0905's cutoff date.
Aug 2025
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Provider Availability
GPT-5.2 is available from OpenAI. Kimi K2-Thinking-0905 is available from DeepInfra, Novita, Fireworks.
GPT-5.2
Kimi K2-Thinking-0905
Outputs Comparison
Judge for yourself.
Run your own prompts against GPT-5.2 and Kimi K2-Thinking-0905 side-by-side, then vote on the output you prefer.
FAQ
Common questions about GPT-5.2 vs Kimi K2-Thinking-0905.