GPT-5.2 vs GLM-4.7 Comparison
Performance Benchmarks
Comparative analysis across standard metrics
GPT-5.2 outperforms in 4 benchmarks (AIME 2025, BrowseComp, GPQA, SWE-Bench Verified), while GLM-4.7 is better at 1 benchmark (Humanity's Last Exam).
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 2.9x more expensive than GLM-4.7 ($0.60/1M tokens).
For output processing, GPT-5.2 ($14.00/1M tokens) is 6.4x more expensive than GLM-4.7 ($2.20/1M tokens).
In conclusion, GPT-5.2 is more expensive than GLM-4.7.*
* 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-4.7's 202,800 tokens. GLM-4.7 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-4.7 support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
GPT-5.2
GLM-4.7
License
Usage and distribution terms
GPT-5.2 is licensed under a proprietary license, while GLM-4.7 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-4.7 was released on 2025-12-22.
GLM-4.7 is 0 month newer than GPT-5.2.
Dec 11, 2025
3 months ago
Dec 22, 2025
2 months ago
1w newerKnowledge Cutoff
When training data ends
GPT-5.2 has a documented knowledge cutoff of 2025-08-25, while GLM-4.7'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-4.7's cutoff date.
Aug 2025
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Provider Availability
GPT-5.2 is available from OpenAI. GLM-4.7 is available from Fireworks, Novita. The availability of providers can affect quality of the model and reliability.
GPT-5.2
GLM-4.7
Outputs Comparison
Key Takeaways
GPT-5.2
View detailsOpenAI
GLM-4.7
View detailsZhipu AI