GPT-5.2 Pro vs Kimi K2-Thinking-0905
GPT-5.2 Pro leads the LLM Stats Score 42.8 to 35.6. Kimi K2-Thinking-0905 is 67.7x cheaper per token.
OpenAI · Moonshot AI · Updated for 2026
Which is better?
GPT-5.2 Pro leads the overall LLM Stats Score 42.8 to 35.6, ranking #58 overall.
In the 5 individual benchmarks reported for both models, GPT-5.2 Pro wins 3; this is a narrower head-to-head signal than the composite indexes.
On price, Kimi K2-Thinking-0905 is roughly 67.7x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
GPT-5.2 Pro 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 Pro
- overall performance matters — it scores 42.8 and ranks #58 on LLM Stats
- your work emphasizes reasoning — it leads those capability indexes
- you value its reported benchmark strengths — it wins 3 of 5 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 67.7x 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
7 reported for GPT-5.2 Pro · 21 for Kimi K2-Thinking-0905
GPT-5.2 Pro outperforms in 3 benchmarks (BrowseComp, GPQA, HMMT 2025), while Kimi K2-Thinking-0905 is better at 1 benchmark (Humanity's Last Exam).
GPT-5.2 Pro has a slight edge in benchmark performance.
Human preference
Blind head-to-head votes and playground preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, GPT-5.2 Pro ($21.00/1M tokens) is 44.7x more expensive than Kimi K2-Thinking-0905 ($0.47/1M tokens).
For output processing, GPT-5.2 Pro ($168.00/1M tokens) is 84.0x more expensive than Kimi K2-Thinking-0905 ($2.00/1M tokens).
In conclusion, GPT-5.2 Pro 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 Pro 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 Pro is limited to 128,000 tokens.
Input capabilities
Documented input modalities across available providers
GPT-5.2 Pro supports multimodal inputs, whereas Kimi K2-Thinking-0905 does not.
GPT-5.2 Pro can handle both text and other forms of data like images, making it suitable for multimodal applications.
GPT-5.2 Pro
Kimi K2-Thinking-0905
License
Usage and distribution terms
GPT-5.2 Pro 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 Pro was released on 2025-12-11, while Kimi K2-Thinking-0905 was released on 2025-09-05.
GPT-5.2 Pro is 3 months newer than Kimi K2-Thinking-0905.
Dec 11, 2025
10 months ago
3mo newerSep 5, 2025
1.1 years 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
GPT-5.2 Pro is available from OpenAI. Kimi K2-Thinking-0905 is available from DeepInfra, Novita, Fireworks.
GPT-5.2 Pro
Kimi K2-Thinking-0905
Outputs Comparison
Judge for yourself.
Run your own prompts against GPT-5.2 Pro and Kimi K2-Thinking-0905 side-by-side, then vote on the output you prefer.
FAQ
Common questions about GPT-5.2 Pro vs Kimi K2-Thinking-0905.