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GLM-5.1 - The most powerful open-source model launched by Zhipu, capable of executing long-term tasks for 8 hours.
GLM-5.1 is the world's most powerful open-source model launched by Zhipu, capable of executing long-term tasks for 8 hours. Its model code capabilities rank first globally in the SWE-Bench Pro benchmark test, surpassing GPT-5.4 and Claude Opus 4.6. GLM-5.1 is...
What is GLM-5.1?
GLM-5.1 is the world's most powerful open-source model launched by Zhipu, capable of executing long-term tasks for 8 hours. Its code capabilities rank first globally in the SWE-Bench Pro benchmark test, surpassing GPT-5.4 and Claude Opus 4.6. GLM-5.1 supports 8 hours of autonomous operation, continuously planning, executing, correcting, and evolving within complex software engineering tasks without human intervention. The model supports API access, local deployment, and is compatible with mainstream development tools such as Claude Code.
Main functions of GLM-5.1
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Long-range autonomous workThe model can work independently for more than 8 hours at a time, autonomously planning, executing and delivering complex software engineering tasks without human intervention.
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Top-notch coding skillsIt ranks first globally in the SWE-Bench Pro benchmark test, surpassing GPT-5.4 and Claude Opus 4.6, and possesses professional-grade bug fixing and software development capabilities.
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System-level buildIt can independently complete the development of a complete system from architecture to implementation, such as building a complete Linux system including desktop environment, window manager and applications within 8 hours.
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Deep performance optimizationThrough hundreds to thousands of rounds of autonomous iteration to continuously optimize the code, it achieves several times the performance improvement in tasks such as vector databases and GPU kernels.
How to use GLM-5.1
- Online call: Call the API or chat interface directly through the BigModel Open Platform or the Z.ai website.
- Local deploymentDownload open-source weights (MIT license) from Hugging Face or GitHub and run them locally using vLLM or SGLang.
- Programming toolsAfter subscribing to the GLM Coding Plan, configure the model name in mainstream tools such as Claude Code and OpenCode as follows:
"GLM-5.1"It's ready to use. - Graphical InterfaceUsing Z Code, a tool from Zhipu, you can support multi-agent collaboration and remote development, or initiate a task from your mobile phone and wait for the result offline.
Key information and usage requirements of GLM-5.1
- Model localizationZhipu AI's flagship open-source model (MIT license), currently the world's most powerful open-source model.
- Core CompetenciesSWE-Bench Pro code test ranked first globally (58.4 points), supports8-hour long-term autonomous workIt can independently complete complex software engineering tasks and evolve on its own.
- Technical featuresIt requires no manual intervention, autonomously plans, executes, and corrects errors, and possesses long-range memory capabilities to handle thousands of tool calls.
- API AccessYou need to register a BigModel Open Platform or Z.ai account to obtain API access.
- Local deploymentYou need to download the Hugging Face/ModelScope open-source weights and configure the vLLM or SGLang inference framework.
- Development toolsAfter subscribing to the GLM Coding Plan, set the model name in tools such as Claude Code to be...
"GLM-5.1"During peak periods, the credit limit is tripled; during off-peak periods, the credit limit is doubled.
The core advantages of GLM-5.1
- Ultra-long-duration autonomous working capabilityIt is a world-leading 8-hour long-horizon task processor that can work independently and deliver complete engineering results without human intervention, unlike the traditional models that take a few minutes to half an hour.
- Top-tier coding skillsSWE-Bench Pro benchmark score: 58.4 points, surpassing GPT-5.4 and Claude Opus 4.6, achieving a professional level in real-world software engineering bug fixing, system building, and code generation.
- Autonomous Evolution and Strategy SwitchingIt possesses a closed-loop capability of "experiment → analysis → optimization," and can proactively identify bottlenecks, switch strategies, and self-correct through thousands of tool calls, avoiding getting trapped in local optima.
- Completely open sourceModel weights are freely available, supporting API access, local deployment (vLLM/SGLang), and integration with mainstream development tools (Claude Code, OpenCode, etc.).
Project address for GLM-5.1
- Project official website: https://z.ai/blog/glm-5.1
- GitHub repositoryhttps://github.com/zai-org/GLM-5
- HuggingFace model libraryhttps://huggingface.co/zai-org/GLM-5.1
Comparison of GLM-5.1 with similar competing products
| Comparison Dimensions | GLM-5.1 | Claude Opus 4.6 | GPT-5.4 |
|---|---|---|---|
| Developer | Z.ai (智谱AI) | Anthropic | OpenAI |
| Model properties | open source (MIT License) | Closed source | Closed source |
| SWE-Bench Pro | 58.4 (No. 1 globally) | 57.3 (3rd) | 57.7 (2nd) |
| Long-range mission capability | 8-hour level (The only open-source source) | 8-hour level (One of only two in the world) | Approximately 1-2 hours |
| KernelBench L3 | 3.6x speedup | 4.2x speedup | not disclosed |
| Overall code ranking | 3rd globally / 1st in open source | 2nd in the world | No. 1 in the world |
| Deployment method | Free local deployment / API | API only (high cost) | API only (high cost) |
| Core advantages | Open source, commercially viable, capable of long-term autonomous operation, and cost-controllable. | Maximum performance and best long-range stability | Broad general reasoning scope and complete ecosystem |
| Relative weaknesses | Slightly inferior to Claude in extreme optimization | Closed-source systems are uncontrollable and costly. | Insufficient closed-source and long-range capabilities |
| Tool compatibility | Claude Code, OpenCode, etc. | Native Claude Code | Codex, ChatGPT |
Application scenarios of GLM-5.1
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Complex software engineering developmentIndependently fix challenging bugs in real GitHub repositories and build complete code repositories and large software systems from scratch, including architecture design, module implementation, and testing verification.
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Deep performance optimization and tuningIt can perform hundreds to thousands of rounds of autonomous iterative optimization on underlying systems such as vector databases and GPU computing kernels, and achieve several times the performance improvement by writing custom CUDA/Triton Kernel.
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Long-range automation developmentIt supports continuous execution of autonomous programming tasks for several hours in Agent tools such as Claude Code, completing complex terminal operations, code refactoring, and multi-step engineering iterations without human intervention.
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Unmanned project deliveryIndependently undertake the development of complete software projects at night or during offline hours, and achieve autonomous delivery of the entire process from requirements analysis, architecture design, coding implementation to testing and deployment.