zai-org

    zai-org/GLM-V

    #38 this week

    GLM-4.6V/4.5V/4.1V-Thinking: Towards Versatile Multimodal Reasoning with Scalable Reinforcement Learning

    backend
    image2text
    reasoning
    video-understanding
    vlm
    Python
    Apache-2.0
    2.4K stars
    189 forks
    2.4K 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 #51 among Backend repositories tracked this week, and #51 over the last 30 days; #38 of 3,103 repositories GStars tracks this week (top 1%).

    The project lists 13 contributors on GitHub.

    Gained 46% fewer stars in the last 90 days than in the 90 days before.

    Use Cases & Benefits

    • Provides advanced vision-language models enabling versatile multimodal reasoning with scalable reinforcement learning.
    • Integrates native multimodal function calling and supports extremely long context windows up to 128k tokens for complex visual and textual understanding.
    • Use for building multimodal agents that combine visual perception with executable actions in real-world business scenarios.
    • Use for developing AI systems that require detailed image, video, and document understanding including grounding and GUI interaction.
    • Use for research and fine-tuning of large-scale vision-language models with chain-of-thought reasoning and multi-document comprehension.

    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 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

    Vision-language models (VLMs) have become a key cornerstone of intelligent systems. As real-world AI tasks grow increasingly complex, VLMs urgently need to enhance reasoning capabilities beyond basic multimodal perception — improving accuracy, comprehensiveness, and intelligence — to enable complex problem solving, long-context understanding, and multimodal agents.

    Through our open-source work, we aim to explore the technological frontier together with the community while empowering more developers to create exciting and innovative applications.

    This open-source repository contains our GLM-4.6V, GLM-4.5V and GLM-4.1V series models. For performance and details, see Model Overview. For known issues, see Fixed and Remaining Issues.

    Excerpt from the zai-org/GLM-V 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

    189+15

    Open issues

    16+1

    Compared with peers in Backend

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

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    Category median44.1K+3.4K75—

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