GLM-5.1 Released with Coding Performance Matching Claude Opus 4.5
Zhipu AI has released GLM-5.1, their latest flagship model, making it available to all Coding Plan users. This model demonstrates coding capabilities that approach Claude Opus 4.5 performance levels.
Key Benchmarks and Specifications
According to March 2026 benchmarks:
- SWE-bench-Verified: 77.8 points — highest score among open-source models
- Terminal Bench 2.0: 56.2 points — also open-source state-of-the-art
- Beats GPT-4o and approaches Claude Opus 4.5 on coding tasks
Technical specifications include:
- 200K context window
- 128K maximum output
- 744B parameters (40B activated)
- 28.5T pretraining data
- Native MCP support
Practical Applications
The source material indicates these capabilities translate to:
- Autonomous multi-step coding tasks with minimal hand-holding
- Long-context code base refactoring and debugging
- Agentic workflows: plan → execute → debug → deliver
GLM-5.1 is available now through Zhipu AI's Coding Plan tiers: Lite, Pro, and Max. The Reddit discussion asks for real-world testing comparisons against Claude 4.6 for production coding tasks.
📖 Read the full source: r/openclaw
👀 See Also
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Anthropic-xAI Compute Deal: Beyond Claude Code Limits
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M5 Max vs M3 Max Inference Benchmarks for Qwen Models on oMLX
Benchmarks comparing M5 Max and M3 Max MacBook Pros running Qwen 3.5 models via oMLX v0.2.23 show M5 Max delivering 1.4-1.7x faster token generation and up to 4x faster prefill at long contexts.