GPT-5.2 vs GLM-4.7-Flash Comparison

Comparing GPT-5.2 and GLM-4.7-Flash across benchmarks, pricing, and capabilities.

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Performance Benchmarks

Comparative analysis across standard metrics

5 benchmarks

GPT-5.2 outperforms in 5 benchmarks (AIME 2025, BrowseComp, GPQA, Humanity's Last Exam, SWE-Bench Verified), while GLM-4.7-Flash is better at 0 benchmarks.

GPT-5.2 significantly outperforms across most benchmarks.

Tue Mar 17 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

GLM-4.7-Flash costs less

For input processing, GPT-5.2 ($1.75/1M tokens) is 25.0x more expensive than GLM-4.7-Flash ($0.07/1M tokens).

For output processing, GPT-5.2 ($14.00/1M tokens) is 35.0x more expensive than GLM-4.7-Flash ($0.40/1M tokens).

In conclusion, GPT-5.2 is more expensive than GLM-4.7-Flash.*

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

Lowest available price from all providers
Tue Mar 17 2026 • llm-stats.com
OpenAI
GPT-5.2
Input tokens$1.75
Output tokens$14.00
Best providerOpenAI
Zhipu AI
GLM-4.7-Flash
Input tokens$0.07
Output tokens$0.40
Best providerUnknown Organization
Notice missing or incorrect data?Start an Issue→

Context Window

Maximum input and output token capacity

GPT-5.2 accepts 400,000 input tokens compared to GLM-4.7-Flash's 128,000 tokens. GPT-5.2 can generate longer responses up to 128,000 tokens, while GLM-4.7-Flash is limited to 16,384 tokens.

OpenAI
GPT-5.2
Input400,000 tokens
Output128,000 tokens
Zhipu AI
GLM-4.7-Flash
Input128,000 tokens
Output16,384 tokens
Tue Mar 17 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

GPT-5.2 supports multimodal inputs, whereas GLM-4.7-Flash 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-4.7-Flash

Text
Images
Audio
Video

License

Usage and distribution terms

GPT-5.2 is licensed under a proprietary license, while GLM-4.7-Flash 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-4.7-Flash

MIT

Open weights

Release Timeline

When each model was launched

GPT-5.2 was released on 2025-12-11, while GLM-4.7-Flash was released on 2026-01-19.

GLM-4.7-Flash is 1 month newer than GPT-5.2.

GPT-5.2

Dec 11, 2025

3 months ago

GLM-4.7-Flash

Jan 19, 2026

1 months ago

1mo newer

Knowledge Cutoff

When training data ends

GPT-5.2 has a documented knowledge cutoff of 2025-08-25, while GLM-4.7-Flash'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-Flash's cutoff date.

GPT-5.2

Aug 2025

GLM-4.7-Flash

—

Provider Availability

GPT-5.2 is available from OpenAI. GLM-4.7-Flash is available from ZAI. The availability of providers can affect quality of the model and reliability.

GPT-5.2

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

GLM-4.7-Flash

z logo
Unknown Organization
Input Price:Input: $0.07/1MOutput Price:Output: $0.40/1M
* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

OpenAI
Larger context window (400,000 tokens)
Supports multimodal inputs
Higher AIME 2025 score (100.0% vs 91.6%)
Higher BrowseComp score (65.8% vs 42.8%)
Higher GPQA score (92.4% vs 75.2%)
Higher Humanity's Last Exam score (34.5% vs 14.4%)
Higher SWE-Bench Verified score (80.0% vs 59.2%)
Zhipu AI
Less expensive input tokens
Less expensive output tokens
Has open weights

Detailed Comparison

AI Model Comparison Table
Feature
OpenAI
GPT-5.2
Zhipu AI
GLM-4.7-Flash