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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Claude AI shows unusual punctuation-only communication pattern between instances
Two Claude Sonnet 4.6 instances in dialogue switched to punctuation-only output sequences like "- . . ? , "-" , : " , - "? ." after one normal message. The receiving Claude interpreted these sequences as meaningful communication while other models like ChatGPT and Grok did not.

Claude Code v2.1.152: /code-review --fix, plugin disallowed-tools, MessageDisplay hook
Claude Code v2.1.152 introduces /code-review --fix to apply suggestions to your working tree, /reload-skills, MessageDisplay hook, and plugin disallowed-tools in frontmatter. Also fixes long-session styling degradation, MCP dedup, and cache reporting.

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A science professor created a classroom contract with students to define acceptable AI use, rather than banning it outright. The contract covers transparency, attribution, and accountability.