Redesign Mermaid diagram with modern visual layout
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Gemini AI
137
README.md
137
README.md
@@ -30,40 +30,115 @@ GLM-4.7 demonstrates competitive performance against the newest generation of fl
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*Note: Best scores per category are highlighted in $\color{green}{\text{green}}$. Data sourced from [Z.ai Official Blog](https://z.ai/blog/glm-4.7).*
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```mermaid
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graph TD
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subgraph "2025 Flagship Benchmark Comparison"
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M[Math - AIME 25] --> G1{<b>GLM-4.7: 95.7%</b>}
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M --> C1[Claude Sonnet 4.5: 87.0%]
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M --> G2[Gemini 3.0 Pro: 95.0%]
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M --> D1[DeepSeek-V3.2: 93.1%]
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M --> P1[GPT-5.1 High: 94.0%]
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CO[Coding - LiveCode] --> G2_C{<b>GLM-4.7: 84.9%</b>}
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CO --> C2[Claude Sonnet 4.5: 64.0%]
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CO --> D2[DeepSeek-V3.2: 83.3%]
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CO --> P2[GPT-5.1 High: 87.0%]
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CO --> G2_CO[Gemini 3.0 Pro: 90.7%]
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S[Science - GPQA] --> G3{<b>GLM-4.7: 85.7%</b>}
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S --> C3[Claude Sonnet 4.5: 83.4%]
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S --> D3[DeepSeek-V3.2: 82.4%]
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S --> P3[GPT-5.1 High: 88.1%]
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S --> G3_S[Gemini 3.0 Pro: 91.9%]
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L[Logic - HLE w/Tools] --> G4{<b>GLM-4.7: 42.8%</b>}
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L --> C4[Claude Sonnet 4.5: 32.0%]
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L --> D4[DeepSeek-V3.2: 40.8%]
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L --> P4[GPT-5.1 High: 42.7%]
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L --> G4_L[Gemini 3.0 Pro: 45.8%]
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flowchart TD
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subgraph GLM [🚀 GLM-4.7 Dominance]
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direction TB
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MATH[🧮 MATH<br/>AIME 25]
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CODING[💻 CODING<br/>LiveCodeBench v6]
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SCIENCE[🔬 SCIENCE<br/>GPQA-Diamond]
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LOGIC[🧠 LOGIC<br/>HLE w/Tools]
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ENGINEERING[⚙️ ENGINEERING<br/>SWE-bench]
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AGENTIC[🤖 AGENTIC<br/>τ²-Bench]
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GLM_MATH[<b>GLM-4.7<br/>95.7%</b>]
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GLM_CODING[<b>GLM-4.7<br/>84.9%</b>]
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GLM_SCIENCE[<b>GLM-4.7<br/>85.7%</b>]
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GLM_LOGIC[<b>GLM-4.7<br/>42.8%</b>]
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GLM_ENG[<b>GLM-4.7<br/>73.8%</b>]
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GLM_AGENT[<b>GLM-4.7<br/>87.4%</b>]
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MATH --> GLM_MATH
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CODING --> GLM_CODING
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SCIENCE --> GLM_SCIENCE
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LOGIC --> GLM_LOGIC
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ENGINEERING --> GLM_ENG
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AGENTIC --> GLM_AGENT
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end
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classDef glmNode fill:#00c853,stroke:#1b5e20,stroke-width:3px,color:#ffffff,font-weight:bold,font-size:14px
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classDef sonnetNode fill:#f1f8e9,stroke:#c5e1a5,stroke-width:1px,color:#558b2f
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classDef budgetNode fill:#e3f2fd,stroke:#2196f3,stroke-width:1px,color:#0d47a1
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subgraph COMPETITORS [📊 Top Competitors]
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direction LR
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subgraph GEM [💎 Gemini 3.0 Pro]
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G_MATH[95.0%]
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G_CODING[<b>90.7%</b>]
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G_SCIENCE[<b>91.9%</b>]
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G_LOGIC[<b>45.8%</b>]
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G_ENG[76.2%]
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G_AGENT[<b>90.7%</b>]
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end
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subgraph GPT [🔵 GPT-5.1 High]
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P_MATH[94.0%]
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P_CODING[87.0%]
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P_SCIENCE[<b>88.1%</b>]
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P_LOGIC[42.7%]
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P_ENG[76.3%]
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P_AGENT[82.7%]
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end
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subgraph DS [🟢 DeepSeek-V3.2]
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D_MATH[93.1%]
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D_CODING[83.3%]
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D_SCIENCE[82.4%]
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D_LOGIC[40.8%]
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D_ENG[73.1%]
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D_AGENT[85.3%]
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end
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subgraph CLAUDE [🟣 Claude Sonnet 4.5]
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C_MATH[87.0%]
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C_CODING[64.0%]
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C_SCIENCE[83.4%]
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C_LOGIC[32.0%]
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C_ENG[<b>77.2%</b>]
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C_AGENT[87.2%]
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end
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end
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class G1,G2_C,G3,G4 glmNode
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class C1,C2,C3,C4 sonnetNode
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class D1,D2,D3,D4,G2,P1,P2,P3,P4,G2_CO,G3_S,G4_L budgetNode
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GLM_MATH -.-> G_MATH
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GLM_MATH -.-> P_MATH
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GLM_MATH -.-> D_MATH
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GLM_MATH -.-> C_MATH
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GLM_CODING -.-> G_CODING
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GLM_CODING -.-> P_CODING
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GLM_CODING -.-> D_CODING
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GLM_CODING -.-> C_CODING
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GLM_SCIENCE -.-> G_SCIENCE
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GLM_SCIENCE -.-> P_SCIENCE
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GLM_SCIENCE -.-> D_SCIENCE
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GLM_SCIENCE -.-> C_SCIENCE
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GLM_LOGIC -.-> G_LOGIC
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GLM_LOGIC -.-> P_LOGIC
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GLM_LOGIC -.-> D_LOGIC
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GLM_LOGIC -.-> C_LOGIC
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GLM_ENG -.-> G_ENG
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GLM_ENG -.-> P_ENG
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GLM_ENG -.-> D_ENG
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GLM_ENG -.-> C_ENG
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GLM_AGENT -.-> G_AGENT
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GLM_AGENT -.-> P_AGENT
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GLM_AGENT -.-> D_AGENT
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GLM_AGENT -.-> C_AGENT
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classDef glmNode fill:#00C853,stroke:#004D40,stroke-width:3px,color:#FFFFFF,font-weight:bold,font-size:13px,radius:8px
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classDef geminiNode fill:#FFB74D,stroke:#E65100,stroke-width:2px,color:#FFFFFF,font-weight:bold,font-size:12px,radius:6px
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classDef gptNode fill:#64B5F6,stroke:#1565C0,stroke-width:2px,color:#FFFFFF,font-weight:bold,font-size:12px,radius:6px
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classDef deepseekNode fill:#4DB6AC,stroke:#00695C,stroke-width:2px,color:#FFFFFF,font-weight:bold,font-size:12px,radius:6px
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classDef claudeNode fill:#AB47BC,stroke:#6A1B9A,stroke-width:2px,color:#FFFFFF,font-weight:bold,font-size:12px,radius:6px
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classDef categoryNode fill:#37474F,stroke:#263238,stroke-width:2px,color:#ECEFF1,font-weight:bold,font-size:11px,radius:4px
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classDef subgraphNode fill:#FAFAFA,stroke:#B0BEC5,stroke-width:2px,stroke-dasharray: 5 5
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class GLM_MATH,GLM_CODING,GLM_SCIENCE,GLM_LOGIC,GLM_ENG,GLM_AGENT glmNode
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class G_MATH,G_CODING,G_SCIENCE,G_LOGIC,G_ENG,G_AGENT geminiNode
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class P_MATH,P_CODING,P_SCIENCE,P_LOGIC,P_ENG,P_AGENT gptNode
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class D_MATH,D_CODING,D_SCIENCE,D_LOGIC,D_ENG,D_AGENT deepseekNode
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class C_MATH,C_CODING,C_SCIENCE,C_LOGIC,C_ENG,C_AGENT claudeNode
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class MATH,CODING,SCIENCE,LOGIC,ENGINEERING,AGENTIC categoryNode
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```
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| Category | Benchmark | **GLM-4.7** | Claude Sonnet 4.5 | GPT-5.1 High | DeepSeek-V3.2 | Gemini 3.0 Pro | Source |
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