Model Comparison
GLM-4.7 vs GPT-5.2Which is better in 2026?
GPT-5.2 significantly outperforms across most benchmarks. GLM-4.7 is 4.8x cheaper per token.
Verdict: GLM-4.7 vs GPT-5.2 — which is better?
GLM-4.7 (by Zhipu AI) and GPT-5.2 (by OpenAI) 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.
GLM-4.7 outperforms in 1 benchmarks (Humanity's Last Exam), while GPT-5.2 is better at 4 benchmarks (AIME 2025, BrowseComp, GPQA, SWE-Bench Verified). GPT-5.2 significantly outperforms across most benchmarks.
On price, GLM-4.7 is roughly 4.8x 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 GLM-4.7 if…
- cost matters — it's about 4.8x cheaper per token
- you want the most recent training data — it shipped Dec 2025
- you need open weights you can self-host or fine-tune
Choose GPT-5.2 if…
- you want the strongest raw capability — it leads on 4 of 5 shared benchmarks
- you process long inputs — it offers a 400,000 token context window
Performance Benchmarks
Comparative analysis across standard metrics
GLM-4.7 outperforms in 1 benchmarks (Humanity's Last Exam), while GPT-5.2 is better at 4 benchmarks (AIME 2025, BrowseComp, GPQA, SWE-Bench Verified).
GPT-5.2 significantly outperforms across most benchmarks.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
For input processing, GLM-4.7 ($0.60/1M tokens) is 2.9x cheaper than GPT-5.2 ($1.75/1M tokens).
For output processing, GLM-4.7 ($2.20/1M tokens) is 6.4x cheaper than GPT-5.2 ($14.00/1M 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 GLM-4.7 and GPT-5.2 support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
GLM-4.7
GPT-5.2
License
Usage and distribution terms
GLM-4.7 is licensed under MIT, while GPT-5.2 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
GLM-4.7 was released on 2025-12-22, while GPT-5.2 was released on 2025-12-11.
GLM-4.7 is 0 month newer than GPT-5.2.
Dec 22, 2025
7 months ago
1w newerDec 11, 2025
7 months ago
Knowledge 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
Provider Availability
GLM-4.7 is available from Fireworks, Novita. GPT-5.2 is available from OpenAI.
GLM-4.7
GPT-5.2
Outputs Comparison
Key Takeaways
GLM-4.7
View detailsZhipu AI
GPT-5.2
View detailsOpenAI
Detailed Comparison
Interactive Arena
Judge for yourself.
Run your own prompts against GLM-4.7 and GPT-5.2 side-by-side, then vote on the output you prefer.
FAQ
Common questions about GLM-4.7 vs GPT-5.2.