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GLM-4vsGPT-4o

Zhipu AI vs OpenAI — Side-by-side model comparison

GPT-4o leads 4/5 categories

Head-to-Head Comparison

MetricGLM-4GPT-4o
Provider
Arena Rank
#2
Context Window
128K
128K
Input Pricing
Undisclosed/1M tokens
$2.50/1M tokens
Output Pricing
Undisclosed/1M tokens
$10.00/1M tokens
Parameters
Undisclosed
~200B (est.)
Open Source
No
No
Best For
Chinese language tasks, reasoning, coding
General purpose, coding, analysis
Release Date
Jan 16, 2024

GLM-4

GLM-4 is Zhipu AI's flagship multimodal model, one of the leading AI models developed in China. It supports text, image, and video understanding with strong performance on Chinese-language tasks while maintaining competitive English capabilities. GLM-4 powers Zhipu's ChatGLM assistant and is widely used across Chinese enterprises for customer service, content generation, and data analysis applications.

View Zhipu AI profile →

GPT-4o

GPT-4o is OpenAI's flagship multimodal model, capable of processing text, images, and audio in a unified architecture. The 'o' stands for 'omni,' reflecting its ability to seamlessly handle multiple input types. With a 128K token context window and competitive pricing, it strikes an optimal balance between capability and cost-effectiveness. GPT-4o delivers fast response times while maintaining strong performance across coding, analysis, creative writing, and visual understanding tasks. It powers ChatGPT's default experience and is one of the most widely deployed AI models globally, serving millions of API calls daily. The model supports function calling, JSON mode, and structured outputs, making it highly versatile for production applications. Its combination of speed, quality, and multimodal capabilities makes it the go-to choice for most general-purpose AI applications.

View OpenAI profile →
G

When to use GLM-4

  • +Your use case involves chinese language tasks, reasoning, coding
View full GLM-4 specs →
G

When to use GPT-4o

  • +Your use case involves general purpose, coding, analysis
View full GPT-4o specs →

The Verdict

GPT-4o wins our head-to-head comparison with 4 out of 5 category wins. It's the stronger choice for general purpose, coding, analysis, though GLM-4 holds an edge in chinese language tasks, reasoning, coding.

Last compared: March 2026 · Data sourced from public benchmarks and official pricing pages

Frequently Asked Questions

Which is better, GLM-4 or GPT-4o?
In our head-to-head comparison, GPT-4o leads in 4 out of 5 categories (arena rank, context window, input pricing, output pricing, and parameters). GPT-4o excels at general purpose, coding, analysis, while GLM-4 is better suited for chinese language tasks, reasoning, coding. The best choice depends on your specific requirements, budget, and use case.
How does GLM-4 pricing compare to GPT-4o?
GLM-4 charges Undisclosed per 1M input tokens and Undisclosed per 1M output tokens. GPT-4o charges $2.50 per 1M input tokens and $10.00 per 1M output tokens. For high-volume production workloads, the pricing difference can significantly impact total cost of ownership.
What is the context window difference between GLM-4 and GPT-4o?
GLM-4 supports a 128K token context window, while GPT-4o supports 128K tokens. Context window size matters most for tasks involving long documents, large codebases, or extended conversations.
Can I use GLM-4 or GPT-4o for free?
GLM-4 is a paid API model starting at Undisclosed per 1M input tokens. GPT-4o is a paid API model starting at $2.50 per 1M input tokens.
Which model has better benchmarks, GLM-4 or GPT-4o?
GLM-4's arena rank is not yet available, while GPT-4o holds rank #2. Note that benchmarks don't capture every use case — we recommend testing both models on your specific tasks.
Is GLM-4 or GPT-4o better for coding?
GLM-4 is specifically optimized for coding tasks. GPT-4o is specifically optimized for coding tasks. For coding specifically, arena rank and code-specific benchmarks are the best indicators of performance.