Model Comparison
GPT-5.2 vs GLM-4.6Which is better in 2026?
GPT-5.2 significantly outperforms across most benchmarks. GLM-4.6 is 5.3x cheaper per token.
Verdict: GPT-5.2 vs GLM-4.6 — which is better?
GPT-5.2 (by OpenAI) and GLM-4.6 (by Zhipu 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-5.2 outperforms in 5 benchmarks (AIME 2025, BrowseComp, GPQA, Humanity's Last Exam, SWE-Bench Verified), while GLM-4.6 is better at 0 benchmarks. GPT-5.2 significantly outperforms across most benchmarks.
On price, GLM-4.6 is roughly 5.3x 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.
Choose GPT-5.2 if…
- you want the strongest raw capability — it leads on 5 of 5 shared benchmarks
- you process long inputs — it offers a 400,000 token context window
- you want the most recent training data — it shipped Dec 2025
Choose GLM-4.6 if…
- cost matters — it's about 5.3x cheaper per token
- you need open weights you can self-host or fine-tune
Performance Benchmarks
Comparative analysis across standard metrics
GPT-5.2 outperforms in 5 benchmarks (AIME 2025, BrowseComp, GPQA, Humanity's Last Exam, SWE-Bench Verified), while GLM-4.6 is better at 0 benchmarks.
GPT-5.2 significantly outperforms across most benchmarks.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
For input processing, GPT-5.2 ($1.75/1M tokens) is 3.2x more expensive than GLM-4.6 ($0.55/1M tokens).
For output processing, GPT-5.2 ($14.00/1M tokens) is 7.0x more expensive than GLM-4.6 ($2.00/1M tokens).
In conclusion, GPT-5.2 is more expensive than GLM-4.6.*
* 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 GLM-4.6's 131,072 tokens. GLM-4.6 can generate longer responses up to 131,072 tokens, while GPT-5.2 is limited to 128,000 tokens.
Input Capabilities
Supported data types and modalities
Both GPT-5.2 and GLM-4.6 support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
GPT-5.2
GLM-4.6
License
Usage and distribution terms
GPT-5.2 is licensed under a proprietary license, while GLM-4.6 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 GLM-4.6 was released on 2025-09-30.
GPT-5.2 is 2 months newer than GLM-4.6.
Dec 11, 2025
7 months ago
2mo newerSep 30, 2025
9 months ago
Knowledge Cutoff
When training data ends
GPT-5.2 has a documented knowledge cutoff of 2025-08-25, while GLM-4.6'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 GLM-4.6's cutoff date.
Aug 2025
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Provider Availability
GPT-5.2 is available from OpenAI. GLM-4.6 is available from Fireworks, DeepInfra.
GPT-5.2
GLM-4.6
Outputs Comparison
Key Takeaways
GPT-5.2
View detailsOpenAI
GLM-4.6
View detailsZhipu AI
Detailed Comparison
Interactive Arena
Judge for yourself.
Run your own prompts against GPT-5.2 and GLM-4.6 side-by-side, then vote on the output you prefer.
FAQ
Common questions about GPT-5.2 vs GLM-4.6.