59 lines
1.7 KiB
Markdown
59 lines
1.7 KiB
Markdown
# GLM-5 vs Claude Opus 4.5: Comprehensive Review
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This repository contains a comprehensive comparison review between **GLM-5** (Zhipu AI's open-source model) and **Claude Opus 4.5** (Anthropic's flagship model).
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## Document
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The main review document is available as a Word document:
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- **[GLM-5_vs_Claude_Opus_4.5_Review.docx](./GLM-5_vs_Claude_Opus_4.5_Review.docx)**
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## Key Findings
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### Intelligence Index (Artificial Analysis)
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| Model | Score |
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|-------|-------|
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| Claude Opus 4.5 | 70 |
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| GLM-5 | 50 (Top Open-Weights) |
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### SWE-bench Verified (Coding)
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| Model | Score |
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|-------|-------|
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| Claude Opus 4.5 | 80.9% |
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| GLM-5 | 77.8% |
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### Pricing ($/M tokens)
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| Model | Input | Output |
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|-------|-------|--------|
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| Claude Opus 4.5 | $5.00 | $25.00 |
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| GLM-5 | $0.35 | $1.40 |
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### Key Takeaways
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1. **Claude Opus 4.5** leads in overall intelligence and reasoning capabilities
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2. **GLM-5** is the top-performing open-weights model
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3. **GLM-5** wins on Humanity's Last Exam benchmark (50.4% vs 43.4%)
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4. **GLM-5** is ~14-16x cheaper than Claude Opus 4.5
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5. **GLM-5** is open-source (MIT license) allowing local deployment
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## Charts
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The `charts/` directory contains comparison visualizations:
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- Benchmark comparison chart
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- Coding capabilities comparison
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- Pricing comparison
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- Intelligence index comparison
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- Radar chart for overall capabilities
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- Model specifications
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## Sources
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- Z.ai Official GLM-5 Blog: https://z.ai/blog/glm-5
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- Anthropic Claude Opus 4.5: https://www.anthropic.com/news/claude-opus-4-5
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- Artificial Analysis: https://artificialanalysis.ai
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- SWE-bench Leaderboard: https://www.swebench.com
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- Reddit Discussions: r/LocalLLaMA, r/ClaudeCode
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---
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*Review published: February 2026*
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