GLM 4.7 Guide: Setup, Benchmarks & Local Deployment

The complete developer guide to GLM 4.7 - Z.ai's new open-source coding model that's challenging Claude and GPT at 1/7th the price. Learn everything from architecture to Claude Code integration to local deployment with vLLM and SGLang.

🔥 GLM 4.7 was released December 22, 2025 and is already the #1 open-source model on multiple coding benchmarks.

⏱️ TIMESTAMPS:
0:00 - Introduction
0:09 - Architecture Deep Dive (400B MoE, 32B active params)
0:44 - Three-Tier Thinking System Explained
1:22 - Benchmark Breakdown (SWE-bench, LiveCodeBench, AIME)
2:05 - Pricing & GLM Coding Plan ($3/month)
2:37 - Claude Code Integration Tutorial
3:22 - GLM CLI Quick Setup Method
4:04 - Local Deployment (vLLM & SGLang)
4:49 - Vibe Coding & UI Generation
5:23 - Data Privacy Considerations
6:00 - Who Should Use GLM 4.7?
6:38 - Outro

📊 BENCHMARK RESULTS:
- SWE-bench Verified: 73.8% (+5.8% vs GLM 4.6)
- LiveCodeBench V6: 84.9% (beats Claude Sonnet 4.5)
- τ²-Bench: 87.4% (highest open-source score)
- AIME 2025: 95.7%
- Terminal Bench 2.0: 41% (+16.5% improvement)
- Humanity's Last Exam: 42.8% (+12.4% improvement)

🛠️ KEY FEATURES:
✅ 355B total parameters (MoE architecture)
✅ 200K context window / 128K output capacity
✅ Preserved Thinking (maintains reasoning across turns)
✅ Native support for Claude Code, Cline, Roo Code
✅ Open weights on HuggingFace & ModelScope
✅ $3/month coding plan or free self-hosted

🔗 RESOURCES & LINKS:
- Official Blog: https://z.ai/blog/glm-4.7
- API Platform: https://z.ai
- HuggingFace: https://huggingface.co/zai-org/GLM-4.7
- Documentation: https://docs.z.ai/guides/llm/glm-4.7
- Claude Code Setup: https://docs.z.ai/scenario-example/develop-tools/claude
- GLM CLI Tool: https://github.com/xqsit94/glm
- OpenRouter: https://openrouter.ai/z-ai/glm-4.7

💻 QUICK SETUP (Claude Code):
1. npm install -g @anthropic-ai/claude-code
2. Get API key from z.ai/manage-apikey
3. Create ~/.claude/settings.json with Z.ai config
4. Run: claude → /status to verify

📦 LOCAL DEPLOYMENT:
- vLLM: docker pull vllm/vllm-openai:nightly
- SGLang: docker pull lmsysorg/sglang:dev
- Use FP8 weights for optimal performance

⚠️ REQUIREMENTS FOR LOCAL:
- Multi-GPU setup (4-8x recommended)
- vLLM/SGLang nightly/dev branches required
- Enable Preserved Thinking for agentic tasks

🏢 ABOUT Z.AI:
Z.ai (formerly Zhipu AI) is a Tsinghua University spinoff planning to become the first publicly listed large-model company on the Hong Kong Stock Exchange. Revenue grew 130% CAGR from 2022-2024.

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