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GLM-5.1: Towards Long-Horizon Tasks
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Overview
GLM-5.1 introduces enhancements for long-horizon tasks, improving the model's ability to manage extended interactions and complex reasoning. The update focuses on refining task planning and execution capabilities for AI applications.
Summary from z.ai.
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Community reactions
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Hacker News · z.ai
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Based on 5 sampled comments from this thread. Analyzed 2026-04-07.
- Praise: GLM-5.1 demonstrates strong performance in generating TypeScript, outperforming other models like Opus and Codex in certain contexts, which highlights its potential for developers.
- Praise: For short-term bug fixing and tweaks, GLM-5.1 meets expectations at a low price, making it a viable option for quick coding tasks.
- Concern: The model struggles with coherency over longer contexts, often producing gibberish beyond 128k tokens, which limits its usability for long-horizon tasks.
- Concern: Quantization issues have severely impacted the model's performance, rendering it nearly useless for serious coding work, which raises concerns about its reliability.