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GLM 5.2 vs Claude 3.5 Sonnet

Zhipu AI's GLM-5.2 — the top open-weight coding model of mid-2026. A ~750B sparse MoE (≈40B active) under an MIT license, with a 1-million-token context window and benchmarks (81.0 Terminal-Bench, 62.1 SWE-Bench Pro) sitting just behind Claude Opus 4.8.

Winner: Claude 3.5 Sonnet(⭐ 4.9)

🧠 Expert verdict

Our expert verdict: Claude 3.5 Sonnet is the stronger all-round choice, scoring 4.9/5 versus 4.6/5 for GLM 5.2, and it stands out for "Best writing quality". Choose Claude 3.5 Sonnet if you want the best writing tool overall, especially for long document analysis; pick GLM 5.2 if "Top open-weight coding model (81.0 Terminal-Bench)" matters more for your workflow.

GLM 5.2

Zhipu AI's GLM-5.2 — the top open-weight coding model of mid-2026. A ~750B sparse MoE (≈40B active) under an MIT license, with a 1-million-token context window and benchmarks (81.0 Terminal-Bench, 62.1 SWE-Bench Pro) sitting just behind Claude Opus 4.8.

Visit GLM 5.2

Claude 3.5 Sonnet

State of the art LLM from Anthropic featuring high code intelligence and brilliant writing.

Visit Claude 3.5 Sonnet
CriteriaGLM 5.2Claude 3.5 Sonnet
Rating
4.6/5
4.9/5
Pricing
Open weights (MIT) / GLM Coding Plan from $10/mo
Free / $20/mo
Category
writing
writing
Popularity
👍 Medium
🔥 Very High
Value for Money
⭐⭐ Good
⭐⭐ Good
📅 Release Date
Jun 2026
Mar 2023
🔄 Last Update
Jun 2026
Jun 2026
Company
Zhipu AI
Anthropic
Founded
2023
2023
API Access
Yes
Yes
Mobile App
No
No

GLM 5.2

Pros

  • +Top open-weight coding model (81.0 Terminal-Bench)
  • +Huge 1M-token context window
  • +Permissive MIT license for commercial use
  • +Beats GPT-5.5 on cost (about 1/6th)
  • +Two reasoning modes (High / Max)

Cons

  • ~750B params heavy to self-host
  • Less brand recognition outside China
  • Smaller third-party tooling
  • Top mode trades speed for depth

Claude 3.5 Sonnet

Pros

  • +Best writing quality
  • +Longest context window (200K)
  • +Safer & more honest
  • +Excellent at coding
  • +Less hallucinations

Cons

  • No image generation
  • No voice mode
  • No plugins/extensions
  • Slower than GPT-4

🎯 Best forGLM 5.2

Commercial use of open weightsAgentic coding on a budgetWhole-repo / long-context codingPrivate deployments

🎯 Best forClaude 3.5 Sonnet

Long document analysisCode reviewAcademic writingComplex reasoningSummarization

🏷️ TagsGLM 5.2

LLMOpen WeightsMIT LicenseCodingLong Context

🏷️ TagsClaude 3.5 Sonnet

LLMWritingCodeAnalysisSafety

Our Verdict

After comparing ratings, pricing and features, Claude 3.5 Sonnet comes out ahead with a 4.9/5 rating. It is the better choice for most users.

Expert take on each tool

📌 GLM 5.2

GLM-5.2 is the best open-weight model for coding in mid-2026: top open Terminal-Bench score, a 1M-token context window and an MIT license, at roughly a sixth of GPT-5.5's cost. It is the standout choice for teams that want to build on and ship open weights without restrictive licensing.

📌 Claude 3.5 Sonnet

Claude is the best choice for professionals who need high-quality writing, long document analysis and honest, safe AI responses. Superior for coding tasks and research that requires accuracy over speed.

Frequently Asked Questions

Which is better: GLM 5.2 or Claude 3.5 Sonnet?

Claude 3.5 Sonnet has the higher user rating (4.9/5 vs 4.6/5), making it the stronger overall pick. That said, GLM 5.2 can still be the better fit depending on your budget and specific needs — see the full comparison above.

Is GLM 5.2 or Claude 3.5 Sonnet cheaper?

GLM 5.2 (Open weights (MIT) / GLM Coding Plan from $10/mo) and Claude 3.5 Sonnet (Free / $20/mo) sit at a similar price point. The best way to compare actual cost is to check each tool's plans for the specific features and usage limits you need.

Can I switch from GLM 5.2 to Claude 3.5 Sonnet?

Yes — switching between GLM 5.2 and Claude 3.5 Sonnet is usually straightforward since both are writing tools with similar core workflows. Most users can export their data and get started with Claude 3.5 Sonnet within a day; just check Claude 3.5 Sonnet's free plan before committing to a paid tier.