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AI Race: China vs USA - Models, APIs and Open Source

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GLM-4.5 - Zhipu AI’s Open-Source SOTA Model for Reasoning, Coding, and AI Agents
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GLM-4.5 is Zhipu AI’s next-generation flagship model, specifically designed for AI agent applications. It’s the first open-source SOTA model with native integration of reasoning, coding, and agent capabilities. The model adopts a Mixture of Experts (MoE) architecture with two versions: GLM-4.5 (355B parameters, 32B activated) and GLM-4.5-Air (106B parameters, 12B activated). It demonstrates exceptional performance across multiple benchmarks, achieving top-tier results among open-source models, particularly excelling in code agent scenarios. Supporting hybrid inference modes with both “Thinking Mode” for complex tasks and “Non-Thinking Mode” for instant responses, it doubles parameter efficiency while offering API pricing at just 1/10th of Claude’s, with speeds reaching up to 100 tokens/sec.

Key Features of GLM-4.5
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  • Multi-capability Fusion: First single model with native integration of reasoning, code generation, and agent capabilities
  • Reasoning: Top-tier performance on reasoning benchmarks
  • Code Generation: Excellent at programming tasks across multiple languages
  • Agent Applications: Supports tool calling, web browsing, and integration with code agent frameworks
  • Hybrid Inference: Dual modes for complex reasoning (Thinking Mode) and instant responses (Non-Thinking Mode)

Technical Highlights
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  • MoE Architecture:
    • GLM-4.5: 355B total / 32B activated parameters
    • GLM-4.5-Air: 106B total / 12B activated parameters
  • Multimodal Capabilities: Processes text, images, and other data types
  • Efficient Training Pipeline:
    1. General pretraining (15T tokens)
    2. Domain-specific training (8T tokens for code/reasoning/agents)
    3. RL optimization
  • Parameter Efficiency: Outperforms models 2-3x larger (vs DeepSeek-R1/Kimi-K2)

Performance
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  • 12 Major Benchmarks (MMLU Pro, AIME 24, MATH 500, etc.):
    • #3 globally among all models
    • #1 among Chinese models
    • #1 among open-source models
  • SWE-bench Verified: Leads the performance/parameter Pareto frontier
  • Cost Efficiency: API pricing at ¥0.8/M input tokens, ¥2/M output tokens

Access Options
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Demo Platforms:

API Access:

Code Repositories:

Applications
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  • Full-stack Development: Complex apps, games, interactive websites
  • Code Generation: High-quality snippets across multiple languages
  • Programming Assistance: Code completion, error fixing, optimization
  • Content Creation: Articles, news reports, creative copywriting
  • Academic Research: NLP/AI research exploration