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Many users report performance issues with Anthropic's models on Claude Code. This review explores GLM-4.5 (from Chinese company Zhipu AI) as a coding-focused alternative, testing its capabilities through practical Python and HTML projects.
Recent discussions on social media and Anthropic's own communications acknowledge performance degradation in both Claude Opus and Sonnet models. While Anthropic has addressed these issues, the lack of transparency around the specific problems has left some users exploring alternative models within the Claude Code environment.
GLM-4.5 demonstrates strong performance on coding benchmarks, particularly on the SWE (Software Engineering) benchmark and agentic coding tasks. The model offers two specialized coding plans:
First-month discount: $3 (regularly $6)
120 prompts per 5 hours
Comparable to Claude Code Max plan
First-month discount: $15 (regularly $30)
600 prompts per 5 hours
Comparable to Claude Code Max 20 plan
GLM models can be accessed through Claude Code by modifying the configuration to use alternative API endpoints. For users concerned about using Chinese-based models, the same approach works with American providers via OpenRouter:
# Configure Claude Code for alternative models
anthropic_base_url = "https://openrouter.ai/api/v1"
anthropic_api_key = "your_openrouter_api_key"
The prompt requested a "fancy, modern Space Invaders game with animations and rich graphics using only Pygame." GLM-4.5 successfully created a complete, playable game with neon visuals and proper collision detection in a single execution.
The model built an interactive simulation featuring a hexagon containing five bouncing balls with wall collision physics, plus functional sliders for speed control and buttons to add more balls. The implementation worked correctly on first execution.
For web development testing, GLM-4.5 created an interactive solar system simulation with zoom controls, speed adjustment, and informational popups. The HTML implementation included modern styling and smooth animations as requested.
Beyond GLM-4.5, several other models show strong coding capabilities within Claude Code:
When choosing alternative models for Claude Code, consider these factors:
Geographical Considerations
Chinese-based models (GLM, Qwen) may raise data privacy concerns for some users. American alternatives (through OpenRouter) provide geographical alternatives while maintaining access to these models.
Pricing Comparison
Alternative models often provide significant cost savings compared to Claude's premium plans, though capabilities may vary across different types of coding tasks.
GLM-4.5 demonstrates impressive coding capabilities within Claude Code, particularly for game development and interactive simulations. The model's speed and accuracy in completing complex coding tasks make it a viable alternative to Anthropic's models, especially considering the current performance issues some users are experiencing.
For users seeking open-source alternatives, both GLM-4.5 and DeepSeek models provide strong coding performance. The availability of these models through American providers via OpenRouter addresses geographical concerns while maintaining access to competitive AI coding assistance.