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GLM-4vsClaude Opus 4

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

Claude Opus 4 leads 4/5 categories

Head-to-Head Comparison

MetricGLM-4Claude Opus 4
Provider
Arena Rank
#1
Context Window
128K
200K
Input Pricing
Undisclosed/1M tokens
$5.00/1M tokens
Output Pricing
Undisclosed/1M tokens
$25.00/1M tokens
Parameters
Undisclosed
Undisclosed
Open Source
No
No
Best For
Chinese language tasks, reasoning, coding
Complex reasoning, coding, agentic tasks
Release Date
Jan 16, 2024
May 22, 2025

GLM-4

GLM-4, developed by Zhipu AI, is a proprietary language model with a 128K token context window powering ChatGLM, one of China's most widely used AI assistants. Founded by researchers from Tsinghua University, Zhipu AI built GLM-4 with strong Chinese and English bilingual capabilities for conversational AI, content generation, and enterprise applications. The model supports multimodal inputs, tool use, and long-context document processing. GLM-4 is particularly strong at understanding Chinese cultural context, idiomatic expressions, and domain-specific terminology common in Chinese enterprise workflows. It competes in the domestic Chinese AI market alongside Qwen, Ernie, and Baichuan. Zhipu AI has positioned GLM-4 as the AI backbone for Chinese enterprises, with integrations across customer service, knowledge management, and content production platforms.

View Zhipu AI profile →

Claude Opus 4

Claude Opus 4 is Anthropic's most powerful AI model, holding the #1 position on the Chatbot Arena leaderboard. It represents a breakthrough in extended thinking and agentic capabilities, able to work autonomously on complex multi-step tasks for hours. With a 200K token context window, it excels at analyzing entire codebases, lengthy legal documents, and research papers in a single pass. The model demonstrates exceptional performance in coding (setting new benchmarks on SWE-bench), advanced reasoning, and nuanced writing tasks. Its agentic capabilities allow it to use tools, navigate computers, and execute multi-step workflows with minimal human oversight. Opus 4 is the preferred choice for enterprises requiring the highest quality output on mission-critical tasks where accuracy and depth matter more than speed or cost.

View Anthropic profile →

Key Differences: GLM-4 vs Claude Opus 4

1

Claude Opus 4 supports a larger context window (200K), allowing it to process longer documents in a single request.

G

When to use GLM-4

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

When to use Claude Opus 4

  • +You need to process long documents (200K context)
  • +Your use case involves complex reasoning, coding, agentic tasks
View full Claude Opus 4 specs →

The Verdict

Claude Opus 4 wins our head-to-head comparison with 4 out of 5 category wins. It's the stronger choice for complex reasoning, coding, agentic tasks, though GLM-4 holds an edge in chinese language tasks, reasoning, coding.

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

Frequently Asked Questions

Which is better, GLM-4 or Claude Opus 4?
In our head-to-head comparison, Claude Opus 4 leads in 4 out of 5 categories (arena rank, context window, input pricing, output pricing, and parameters). Claude Opus 4 excels at complex reasoning, coding, agentic tasks, 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 Claude Opus 4?
GLM-4 charges Undisclosed per 1M input tokens and Undisclosed per 1M output tokens. Claude Opus 4 charges $5.00 per 1M input tokens and $25.00 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 Claude Opus 4?
GLM-4 supports a 128K token context window, while Claude Opus 4 supports 200K tokens. Claude Opus 4 can process longer documents, codebases, and conversations in a single request. Context window size matters most for tasks involving long documents, large codebases, or extended conversations.
Can I use GLM-4 or Claude Opus 4 for free?
GLM-4 is a paid API model starting at Undisclosed per 1M input tokens. Claude Opus 4 is a paid API model starting at $5.00 per 1M input tokens.
Which model has better benchmarks, GLM-4 or Claude Opus 4?
GLM-4's arena rank is not yet available, while Claude Opus 4 holds rank #1. Note that benchmarks don't capture every use case — we recommend testing both models on your specific tasks.
Is GLM-4 or Claude Opus 4 better for coding?
GLM-4 is specifically optimized for coding tasks. Claude Opus 4 is specifically optimized for coding tasks. For coding specifically, arena rank and code-specific benchmarks are the best indicators of performance.