GLM-5.2 vs GPT-5.2
GLM-5.2 leads the LLM Stats Score 45.6 to 41.4. GLM-5.2 is 4.1x cheaper per token.
Zhipu AI · OpenAI · Updated for 2026
Which is better?
GLM-5.2 leads the overall LLM Stats Score 45.6 to 41.4, ranking #28 overall.
In the 5 individual benchmarks reported for both models, GLM-5.2 wins 3; this is a narrower head-to-head signal than the composite indexes.
On price, GLM-5.2 is roughly 4.1x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
GLM-5.2 also accepts a larger context window (1,048,576 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 GLM-5.2
- overall performance matters — it scores 45.6 and ranks #28 on LLM Stats
- your work emphasizes reasoning and agents — it leads those capability indexes
- you value its reported benchmark strengths — it wins 3 of 5 exact shared results
- cost matters — it's about 4.1x cheaper per token
- you process long inputs — it offers a 1,048,576 token context window
- you want the most recent training data — it shipped Jun 2026
- you need open weights you can self-host or fine-tune
Choose GPT-5.2
- you want predictable pricing at $1.75/M input and $14.00/M output
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
19 reported for GLM-5.2 · 24 for GPT-5.2
GLM-5.2 outperforms in 3 benchmarks (Humanity's Last Exam, MCP Atlas, Toolathlon), while GPT-5.2 is better at 2 benchmarks (GPQA, HMMT 2025).
GLM-5.2 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, GLM-5.2 ($0.75/1M tokens) is 2.3x cheaper than GPT-5.2 ($1.75/1M tokens).
For output processing, GLM-5.2 ($2.40/1M tokens) is 5.8x cheaper than GPT-5.2 ($14.00/1M tokens).
In conclusion, GPT-5.2 is more expensive than GLM-5.2.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
GLM-5.2 accepts 1,048,576 input tokens compared to GPT-5.2's 400,000 tokens. GLM-5.2 can generate longer responses up to 1,048,576 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 GLM-5.2 does not.
GPT-5.2 can handle both text and other forms of data like images, making it suitable for multimodal applications.
GLM-5.2
GPT-5.2
License
Usage and distribution terms
GLM-5.2 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-5.2 was released on 2026-06-16, while GPT-5.2 was released on 2025-12-11.
GLM-5.2 is 6 months newer than GPT-5.2.
Jun 16, 2026
3 months ago
6mo newerDec 11, 2025
9 months ago
Knowledge Cutoff
When training data ends
GPT-5.2 has a documented knowledge cutoff of 2025-08-25, while GLM-5.2'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-5.2's cutoff date.
—
Aug 2025
Provider Availability
GLM-5.2 is available from DeepInfra, Fireworks, FriendliAI, Novita, Together, ZAI. GPT-5.2 is available from OpenAI.
GLM-5.2
GPT-5.2
Outputs Comparison
Judge for yourself.
Run your own prompts against GLM-5.2 and GPT-5.2 side-by-side, then vote on the output you prefer.
FAQ
Common questions about GLM-5.2 vs GPT-5.2.