Model Comparison

GPT-5.2 vs GLM-5.1

Both models are evenly matched across the benchmarks. GLM-5.1 is 2.2x cheaper per token.

Performance Benchmarks

Comparative analysis across standard metrics

6 benchmarks

GPT-5.2 outperforms in 3 benchmarks (GPQA, HMMT 2025, Toolathlon), while GLM-5.1 is better at 3 benchmarks (BrowseComp, Humanity's Last Exam, MCP Atlas).

Both models are evenly matched across the benchmarks.

Thu Apr 09 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

GLM-5.1 costs less

For input processing, GPT-5.2 ($1.75/1M tokens) is 1.3x more expensive than GLM-5.1 ($1.40/1M tokens).

For output processing, GPT-5.2 ($14.00/1M tokens) is 3.2x more expensive than GLM-5.1 ($4.40/1M tokens).

In conclusion, GPT-5.2 is more expensive than GLM-5.1.*

* Using a 3:1 ratio of input to output tokens

Lowest available price from all providers
Thu Apr 09 2026 • llm-stats.com
OpenAI
GPT-5.2
Input tokens$1.75
Output tokens$14.00
Best providerOpenAI
Zhipu AI
GLM-5.1
Input tokens$1.40
Output tokens$4.40
Best providerUnknown Organization
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Context Window

Maximum input and output token capacity

GPT-5.2 accepts 400,000 input tokens compared to GLM-5.1's 200,000 tokens. Both models can generate responses up to 128,000 tokens.

OpenAI
GPT-5.2
Input400,000 tokens
Output128,000 tokens
Zhipu AI
GLM-5.1
Input200,000 tokens
Output128,000 tokens
Thu Apr 09 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

GPT-5.2 supports multimodal inputs, whereas GLM-5.1 does not.

GPT-5.2 can handle both text and other forms of data like images, making it suitable for multimodal applications.

GPT-5.2

Text
Images
Audio
Video

GLM-5.1

Text
Images
Audio
Video

License

Usage and distribution terms

GPT-5.2 is licensed under a proprietary license, while GLM-5.1 uses MIT.

License differences may affect how you can use these models in commercial or open-source projects.

GPT-5.2

Proprietary

Closed source

GLM-5.1

MIT

Open weights

Release Timeline

When each model was launched

GPT-5.2 was released on 2025-12-11, while GLM-5.1 was released on 2026-04-07.

GLM-5.1 is 4 months newer than GPT-5.2.

GPT-5.2

Dec 11, 2025

3 months ago

GLM-5.1

Apr 7, 2026

2 days ago

3mo newer

Knowledge Cutoff

When training data ends

GPT-5.2 has a documented knowledge cutoff of 2025-08-25, while GLM-5.1'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-5.1's cutoff date.

GPT-5.2

Aug 2025

GLM-5.1

Provider Availability

GPT-5.2 is available from OpenAI. GLM-5.1 is available from ZAI.

GPT-5.2

openai logo
OpenAI
Input Price:Input: $1.75/1MOutput Price:Output: $14.00/1M

GLM-5.1

z logo
Unknown Organization
Input Price:Input: $1.40/1MOutput Price:Output: $4.40/1M
* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

Larger context window (400,000 tokens)
Supports multimodal inputs
Higher GPQA score (92.4% vs 86.2%)
Higher HMMT 2025 score (99.4% vs 94.0%)
Higher Toolathlon score (46.3% vs 40.7%)
Less expensive input tokens
Less expensive output tokens
Has open weights
Higher BrowseComp score (79.3% vs 65.8%)
Higher Humanity's Last Exam score (52.3% vs 34.5%)
Higher MCP Atlas score (71.8% vs 60.6%)

Detailed Comparison

AI Model Comparison Table
Feature
OpenAI
GPT-5.2
Zhipu AI
GLM-5.1

FAQ

Common questions about GPT-5.2 vs GLM-5.1

Both models are evenly matched across the benchmarks. GPT-5.2 is made by OpenAI and GLM-5.1 is made by Zhipu AI. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.
GPT-5.2 scores AIME 2025: 100.0%, HMMT 2025: 99.4%, Tau2 Telecom: 98.7%, Graphwalks BFS <128k: 94.0%, GPQA: 92.4%. GLM-5.1 scores Vending-Bench 2: 100.0%, AIME 2026: 95.3%, HMMT 2025: 94.0%, GPQA: 86.2%, IMO-AnswerBench: 83.8%.
GLM-5.1 is 1.3x cheaper for input tokens. GPT-5.2 costs $1.75/M input and $14.00/M output via openai. GLM-5.1 costs $1.40/M input and $4.40/M output via z.
GPT-5.2 supports 400K tokens and GLM-5.1 supports 200K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include context window (400K vs 200K), input pricing ($1.75 vs $1.40/M), multimodal support (yes vs no), licensing (Proprietary vs MIT). See the full comparison above for benchmark-by-benchmark results.
GPT-5.2 is developed by OpenAI and GLM-5.1 is developed by Zhipu AI.