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Z.ai's GLM-5.1 tops coding benchmark as open-weight model

Z.ai has released GLM-5.1, a 744B parameter Mixture-of-Experts model that achieved a score of 58.4% on the SWE-Bench Pro leaderboard in April 2026. This marks the first open-weight model to surpass leading proprietary models like GPT-5.4 and Claude Opus 4.6 on this benchmark, which tests real-world coding capabilities. While the model is designed for autonomous software development tasks, its MIT license allows for unrestricted commercial use and modification, differentiating it from other high-tier models. AI

IMPACT Sets new SOTA on coding benchmarks for open-weight models, potentially accelerating adoption and research in software development agents.

RANK_REASON Open-weight model release with benchmark results surpassing SOTA. [lever_c_demoted from frontier_release: ic=1 ai=1.0]

Read on dev.to — LLM tag →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

COVERAGE [1]

  1. dev.to — LLM tag TIER_1 English(EN) · Jovan Chan ·

    GLM-5.1 Review 2026: MIT 744B MoE That Tops SWE-Bench Pro

    <blockquote> <p>This article was originally published on <a href="https://aifoss.dev/blog/glm-5-1-review-2026/" rel="noopener noreferrer">aifoss.dev</a></p> </blockquote> <p><strong>TL;DR</strong>: GLM-5.1 is a 744B MIT-licensed MoE model from Z.ai that scored 58.4% on SWE-Bench …