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README.md

🚀 GLM-4.7 vs. The $200 Giants: Is China's $3 AI Coding Tool the New Market King?

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      THE FRONTIER AGENTIC REASONING MODEL (2025)

💡 Key Takeaways (TL;DR)

  • GLM-4.7 is the new SOTA (State of the Art) AI coding model for 2025.
  • Developed by Zhipu AI, it offers enterprise-level performance matching or exceeding flagship models like Claude Sonnet 4.5 and GPT-5.1 High.
  • Context Window: Massive 200K tokens for full codebase analysis.
  • Best For: Cost-conscious developers, agentic workflows, and high-complexity debugging.

The global landscape for AI-powered development is shifting. While Western tools like Cursor Pro and GitHub Copilot have dominated by charging premium subscription rates (often reaching $200 per year), a new contender from Beijing, China, has arrived to dismantle that pricing model.

Zhipu AI has released GLM-4.7, a large language model specifically engineered for coding, offering performance that rivals top-tier US models. For pricing information, visit Z.ai subscription page or use via OpenRouter.

⚔️ The Frontier Battle: Verified Benchmarks

GLM-4.7 demonstrates competitive performance against the newest generation of flagship models, including Claude Sonnet 4.5 and GPT-5.1 High, based on the official Z.ai Technical Report (Dec 2025).

📊 2025 AI Coding Model Performance Comparison

Note: Best scores per category are highlighted in \color{green}{\text{green}}. Data sourced from Z.ai Official Blog.

graph TD
    subgraph "2025 Flagship Benchmark Comparison"
    M[Math - AIME 25] --> G1{<b>GLM-4.7: 95.7%</b>}
    M --> C1[Claude Sonnet 4.5: 87.0%]
    M --> G2[Gemini 3.0 Pro: 95.0%]
    M --> D1[DeepSeek-V3.2: 93.1%]
    M --> P1[GPT-5.1 High: 94.0%]
    
    CO[Coding - LiveCode] --> G2_C{<b>GLM-4.7: 84.9%</b>}
    CO --> C2[Claude Sonnet 4.5: 64.0%]
    CO --> D2[DeepSeek-V3.2: 83.3%]
    CO --> P2[GPT-5.1 High: 87.0%]
    CO --> G2_CO[Gemini 3.0 Pro: 90.7%]
    
    S[Science - GPQA] --> G3{<b>GLM-4.7: 85.7%</b>}
    S --> C3[Claude Sonnet 4.5: 83.4%]
    S --> D3[DeepSeek-V3.2: 82.4%]
    S --> P3[GPT-5.1 High: 88.1%]
    S --> G3_S[Gemini 3.0 Pro: 91.9%]
    
    L[Logic - HLE w/Tools] --> G4{<b>GLM-4.7: 42.8%</b>}
    L --> C4[Claude Sonnet 4.5: 32.0%]
    L --> D4[DeepSeek-V3.2: 40.8%]
    L --> P4[GPT-5.1 High: 42.7%]
    L --> G4_L[Gemini 3.0 Pro: 45.8%]
    end
    
    classDef glmNode fill:#00c853,stroke:#1b5e20,stroke-width:3px,color:#ffffff,font-weight:bold,font-size:14px
    classDef sonnetNode fill:#f1f8e9,stroke:#c5e1a5,stroke-width:1px,color:#558b2f
    classDef budgetNode fill:#e3f2fd,stroke:#2196f3,stroke-width:1px,color:#0d47a1
    
    class G1,G2_C,G3,G4 glmNode
    class C1,C2,C3,C4 sonnetNode
    class D1,D2,D3,D4,G2,P1,P2,P3,P4,G2_CO,G3_S,G4_L budgetNode
Category Benchmark GLM-4.7 Claude Sonnet 4.5 GPT-5.1 High DeepSeek-V3.2 Gemini 3.0 Pro Source
Math AIME 25 \color{green}{\textbf{95.7}} 87.0 94.0 93.1 95.0 Z.ai
Coding LiveCodeBench v6 84.9 64.0 87.0 83.3 \color{green}{\textbf{90.7}} Z.ai
Science GPQA-Diamond 85.7 83.4 88.1 82.4 \color{green}{\textbf{91.9}} Z.ai
Logic HLE (w/ Tools) 42.8 32.0 42.7 40.8 \color{green}{\textbf{45.8}} Z.ai
Engineering SWE-bench (Ver.) 73.8% \color{green}{\textbf{77.2%}} 76.3% 73.1% 76.2% Z.ai
Agentic τ²-Bench 87.4% 87.2% 82.7% 85.3% \color{green}{\textbf{90.7%}} Z.ai

🛠️ What is GLM-4.7? Technical Specifications and Features

GLM-4.7 is the latest iteration of the General Language Model (GLM) series developed by Beijing-based Zhipu AI.

🚀 Key Technical Highlights (from Z.ai blog)

  • Interleaved Thinking: GLM-4.7 thinks before every response and tool calling, improving instruction following and quality of generation.
  • Preserved Thinking: In coding agent scenarios, GLM-4.7 automatically retains all thinking blocks across multi-turn conversations, reusing existing reasoning instead of re-deriving from scratch.
  • Turn-level Thinking: GLM-4.7 supports per-turn control over reasoning within a session—disable thinking for lightweight requests to reduce latency/cost, enable it for complex tasks to improve accuracy and stability.
  • Tool Using: GLM-4.7 achieves significant improvements in tool using, with better performances on benchmarks such as τ²-Bench and on web browsing via BrowseComp.

📈 GLM-4.7 vs GLM-4.6: Key Improvements

Based on Z.ai Technical Report, GLM-4.7 delivers significant gains across core benchmarks compared to its predecessor GLM-4.6:

<EFBFBD> Performance Gains

Benchmark GLM-4.6 GLM-4.7 Improvement
SWE-bench 68.0% 73.8% +5.8%
SWE-bench Multilingual 53.8% 66.7% +12.9%
Terminal Bench 2.0 24.5% 41.0% +16.5%
HLE (w/ Tools) 30.4% 42.8% +12.4%
LiveCodeBench-v6 82.8% 84.9% +2.1%

<EFBFBD>️ Enhanced Capabilities

  • Interleaved Thinking: GLM-4.7 thinks before every response and tool calling, improving instruction following and quality of generation.
  • Preserved Thinking: In coding agent scenarios, GLM-4.7 automatically retains all thinking blocks across multi-turn conversations, reusing existing reasoning instead of re-deriving from scratch.
  • Turn-level Thinking: GLM-4.7 supports per-turn control over reasoning within a session—disable thinking for lightweight requests to reduce latency/cost, enable it for complex tasks to improve accuracy and stability.

❓ FAQ: GLM-4.7 and the AI Coding Market

What is best cost-effective AI for coding in 2025? The market for high-performance, budget-friendly AI has expanded significantly in 2025. Leading the pack are GLM-4.7 (Zhipu AI) and DeepSeek-V3.2, both offering performance comparable to Claude Sonnet 4.5 at a fraction of the cost. GLM-4.7 is often preferred for agentic workflows due to its advanced "Preserved Thinking" architecture, while DeepSeek-V3.2 remains a strong choice for raw logic and reasoning tasks.

Is GLM-4.7 better than GPT-5.1 or Claude Sonnet 4.5 for coding? Objectively, Claude Sonnet 4.5 and GPT-5.1 currently hold the edge in massive-scale architectural planning and natural language nuance. However, GLM-4.7 has achieved parity or leadership in execution-heavy benchmarks (LiveCodeBench: 84.9) and mathematical reasoning (AIME 25: 95.7). For developers, the choice is often between paying for the absolute peak (Claude/GPT) or achieving 95% of that performance with GLM-4.7 for 1/20th the price.

How much does the GLM-4.7 coding tool cost? GLM-4.7 is available via the Z.ai API platform and through OpenRouter. For detailed pricing, visit Z.ai subscription page.

Who developed GLM-4.7? GLM-4.7 was developed by Zhipu AI, a leading artificial intelligence company based in Beijing, China, emerging from the Knowledge Engineering Group (KEG) at Tsinghua University.

Can I use GLM-4.7 in the US and Europe? Yes, GLM-4.7 is available worldwide through OpenRouter. It is compatible with coding agent frameworks mentioned in the Z.ai blog: Claude Code, Kilo Code, Cline, and Roo Code.

📚 References & Methodology

All data presented in this article is derived from the Z.ai Official Technical Report (December 2025):

  • Benchmark Performance: GLM-4.7 compared against GLM-4.6, Kimi K2 Thinking, DeepSeek-V3.2, Gemini 3.0 Pro, Claude Sonnet 4.5, GPT-5 High, and GPT-5.1 High across 17 benchmarks.
  • Core Coding: SWE-bench (73.8%, +5.8%), SWE-bench Multilingual (66.7%, +12.9%), Terminal Bench 2.0 (41%, +16.5%).
  • Reasoning: HLE (w/ Tools): 42.8%, AIME 2025: 95.7%, GPQA-Diamond: 85.7%.
  • Agentic: τ²-Bench: 87.4%, BrowseComp: 52.0%.
  • Features: Interleaved Thinking, Preserved Thinking, Turn-level Thinking for stable multi-turn conversations.
  • Supported Tools: Claude Code, Kilo Code, Cline, and Roo Code for agent workflows.

🔗 Source Links

The era of "$200 AI coding tax" is over. Join the GLM revolution today.

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