Head to Head

GLM 5.1 vs Claude 4

Pricing, experience, and what the community actually says.

GLM 5.1

GLM 5.1

Starting at

$0.01 per 1k tokens (Input)

Refund

Credit-based system; non-refundable once consumed

Try Free →

★ Our Pick

Claude 4

Claude 4

Starting at

$20/mo

Refund

Pro-rated refund available in specific regions

Try Free →

Our Take

GLM 5.1GLM 5.1

Yes for developers and enterprises targeting global markets, specifically those needing robust performance in East Asian languages without sacrificing reasoning quality.

GLM 5.1 is a top-tier contender for users requiring deep Chinese-English bilingual proficiency and agentic reasoning. While it faces stiff competition in pure English creative writing, its logic and technical instruction-following are on par with the industry's leading models.

Claude 4Claude 4

Yes for professionals. The $20/month Pro tier is justified by the reliability of its reasoning and the utility of the 1M token context window.

Claude 4 is a precision tool that prioritizes logic and instruction-following over conversational flair. While it excels at handling massive datasets and complex codebases, its safety guardrails can still feel overly restrictive for certain creative or edge-case tasks.

Pros & Cons

GLM 5.1

Top-tier bilingual (CN/EN) performance
Very low hallucination rate in technical tasks
Highly competitive token pricing
Excellent 2M context window stability
Safety filters can be overly restrictive
Prose can feel overly formal or 'dry'
Support documentation is best in Mandarin

Claude 4

Industry-leading 1M token context window
High nuance in technical and creative writing
Minimal hallucination on dense document analysis
Artifacts UI makes code and UI design seamless
Safety filters can be overly sensitive
Lacks the 'search' integration depth of competitors
Clinical personality may feel 'dry' to some users

Full Breakdown

Category
GLM 5.1GLM 5.1
Claude 4Claude 4

Overall Rating

4.6 / 5
4.8 / 5

Starting Price

$0.01 per 1k tokens (Input)
$20/mo

Learning Curve

Medium. While the API is OpenAI-compatible, mastering the model's specific prompt sensitivities for complex reasoning takes a few days of experimentation.
Low. The chat-based interaction is intuitive, though getting the most out of its 'Computer Use' features requires more structured prompting.

Best Suited For

Software engineers building autonomous agents, researchers requiring long-context analysis, and businesses operating in bilingual environments.
Software engineers, researchers, and legal professionals who require high-density information processing and low hallucination rates.

Support Quality

Reliable for enterprise tiers with dedicated Slack/Lark channels; community support is active but primarily in Mandarin.
Responsive for paid tiers. Documentation is comprehensive, though the community forums are the primary source for troubleshooting 'Computer Use' API bugs.

Hidden Costs

Storage fees for long-term vector embeddings if using their integrated RAG solution.
None for standard users. API users should monitor token costs closely as the 1M context window makes it easy to burn through credits with large system prompts.

Refund Policy

Credit-based system; non-refundable once consumed
Pro-rated refund available in specific regions

Platforms

Web API, Private Cloud Deployment, iOS/Android (via ChatGLM app)
Web-based, iOS, Android, Desktop App (macOS/Windows)

Features

Watermark on Free Plan

✓ Yes
✗ No

Mobile App

✓ Yes
✓ Yes

API Access

✓ Yes
✓ Yes