zai-org

    zai-org/GLM-4.5

    #570 this week

    GLM-4.5: Agentic, Reasoning, and Coding (ARC) Foundation Models

    ai-agents
    llm
    agent
    glm
    moe
    reasoning-language-models
    Python
    Apache-2.0
    4.4K stars
    484 forks
    4.4K GitHub watchers
    Updated Oct 20, 2026
    View on GitHub

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    Where it stands

    Rank, growth pace and release cadence relative to everything GStars tracks.

    Ranks #570 of 3,103 repositories GStars tracks this week (top 18%).

    The project lists 4 contributors on GitHub.

    Gained 74% fewer stars in the last 90 days than in the 90 days before.

    Use Cases & Benefits

    • Provides large-scale foundation models integrating agentic reasoning, coding, and tool use for intelligent agent applications.
    • Delivers hybrid reasoning with interleaved, preserved, and turn-level thinking modes for stable, controllable multi-turn complex task handling.
    • Use for developing advanced AI coding assistants that generate multilingual code and improve UI quality with modern layouts.
    • Use for building intelligent agents capable of complex reasoning and tool usage in multi-turn conversational scenarios.
    • Use for research and deployment of large language models requiring extended context windows and efficient inference on high-end GPUs.

    Should you depend on it?

    License terms, project hygiene and risks, from GitHub metadata and GStars' snapshots.

    License

    Apache 2.0

    Permissive: commercial use, modification and redistribution are allowed with attribution; includes an explicit patent grant from contributors.

    Community files

    • README: present

    Watch-outs

    • No commits in the last six months (last push Feb 2026).
    • No GitHub releases; pin a commit or tag instead of a release.

    General guidance from repository metadata, not legal advice. How we score

    From the README

    GLM-4.7, your new coding partner, is coming with the following features:

    More general, one would also witness significant improvements in many other scenarios such as chat, creative writing, and role-play scenario.

    Compared with GLM-4.5, GLM-4.6 brings several key improvements:

    We evaluated GLM-4.6 across eight public benchmarks covering agents, reasoning, and coding. Results show clear gains over GLM-4.5, with GLM-4.6 also holding competitive advantages over leading domestic and international models such as DeepSeek-V3.1-Terminus and Claude Sonnet 4.

    The GLM-4.5 series models are foundation models designed for intelligent agents. GLM-4.5 has 355 billion total parameters with 32 billion active parameters, while GLM-4.5-Air adopts a more compact design with 106 billion total parameters and 12 billion active parameters. GLM-4.5 models unify reasoning, coding, and intelligent agent capabilities to meet the complex demands of intelligent agent applications.

    Both GLM-4.5 and GLM-4.5-Air are hybrid reasoning models that provide two modes: thinking mode for complex reasoning and tool usage, and non-thinking mode for immediate responses.

    We have open-sourced the base models, hybrid reasoning models, and FP8 versions of the hybrid reasoning models for both GLM-4.5 and GLM-4.5-Air. They are released under the MIT open-source license and can be used commercially and for secondary development.

    Excerpt from the zai-org/GLM-4.5 README on GitHub (Apache-2.0 license). © its authors.Read the full README on GitHub

    Daily snapshots

    Stars gained per day, and how forks and open issues moved, from GStars' daily snapshots

    Forks

    484+16

    Open issues

    32+5

    Compared with peers in AI Agents

    Fastest-growing repositories GStars tracks in this cohort for the week of Oct 18, by 7-day star growth

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