3 new reset cards, 2 months to burn them.
GLM just helped uncover 23 Windows vulnerabilities, all acknowledged by Microsoft MSRC.
Beyond open-source projects, commercial software security is also being improved through GLM-powered independent vulnerability discovery and responsible disclosure.
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Thrilled to welcome Yuki Chen (also known as 古河/Guhe) to
His decades of vulnerability research have helped, and will keep helping, the community build a safer cyberspace with GLM.
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New journey, new mission! Thrilled and grateful for the opportunity to help build a safer cyberspace with the power of frontier AI @Zai_org
Thanks @ValsAI for the independent evaluation on Harvey LAB and LegalBench. See for further details.
Zai just debuted a legal specific model: GLM Legal, and it is the new #1# open-weight model on Harvey’s Legal Agent Benchmark and LegalBench.
Saw GLM-Legal getting a lot of discussion on HN. Quick answers to the questions people have been asking:
- Open source: It's on the plan. We want to make sure the capabilities are solid enough first.
- Benchmark credibility: We improved both Harvey-style tasks and other formats. The model should generalize well across different types of legal work.
- Legal systems: Both Western law and Chinese law got a boost.
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Zai just debuted a legal specific model: GLM Legal, and it is the new #1# open-weight model on Harvey’s Legal Agent Benchmark and LegalBench.
GLM-Legal is our first specialized model for professional work. Built on GLM-5.3-Flash, it reaches frontier-level legal performance (19.2% on Harvey LAB) while keeping strong general abilities.
Introducing GLM-Legal
Built on GLM-5.3-Flash, GLM-Legal matches frontier models on mainstream legal benchmarks.
Designed for real legal workflows: contract review, evidence analysis, compliance, and more.
Tech Blog:
Apply for API Access:
Try AutoClaw:
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Good things are worth the wait.
GLM-5.3 is now available on Amazon Bedrock.
Bring powerful coding and agentic capabilities to your enterprise.
Get started:
GLM-5.3 has helped defend 389 open-source projects, with 4,249 potential vulnerabilities found so far.
OpenVuln is still running. The service remains free, and findings go privately to maintainers.
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And until Oct 7, peak-hour usage is billed at non-peak rates.
All GLM Coding Plan users have received 4 weekly reset cards and 4 five-hour reset cards (usable in all supported agents).
Users returning within the next month will receive the same benefits.
All GLM Coding Plan users have received 4 weekly reset cards and 4 five-hour reset cards (usable in all supported agents).
Users returning within the next month will receive the same benefits.
Faster GLM-5.3-Flash is now live: up to 200 tokens/s. Model code: glm-5.3-flashx.
Priced at 2.5× GLM-5.3-Flash on both the Coding Plan and API.
Open to all API users. Coding Plan users can apply here:
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Both have been extended through October 7.
Get more GLM-5.3-Flash with GLM Coding Plan
⏲️ 8 AM–6 PM PT every day, Sep 3–20
- In ZCode: Unlimited GLM-5.3-Flash
- In other supported agents: 2× Flash quota
ZCode is now open source under the Apache 2.0 license.
ZCode is now open source, and the reported security issues have been addressed.
We take the community’s feedback very seriously and apologize for the concern and frustration these issues have caused. We have been working closely with the ZCode team to investigate and remediate the issues raised.
Independent security reviews by third-party firms are now underway. We will share the findings and provide further updates as they become available.
We sincerely appreciate the developer community’s feedback and continued scrutiny. We will continue to monitor the review process closely and provide updates.
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We’re sharing how GLM-5.3 helped build and optimize the inference infrastructure serving GLM-5.3-Flash.
The system went from its first successful run to production readiness in less than two weeks, with end-to-end throughput tripling relative to the initial baseline.
The key was dense feedback: local correctness tests, execution traces, microbenchmarks, and end-to-end measurements that enabled targeted hypothesis testing rather than reliance on aggregate performance metrics alone.
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ZCode now supports more model providers, with improved stability and performance.
We’ll keep expanding integrations based on your feedback. Which models do you like most beyond the GLM series?
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GLM is increasingly helping build AI itself.
For GLM-5.3-Flash, a GLM-5.3-powered agent helped bring a production inference system online in less than two weeks, while tripling throughput from the initial baseline.
The broader lesson is that stronger coding abilities are only part of the story. To tackle complex engineering work, agents need a way to test ideas, understand failures, and verify improvements. Engineers set the goals and boundaries; a well-designed feedback loop lets the agent keep making progress within them.
This is a shift from AI that writes code to AI that helps build and improve the systems it depends on. The model improves the system; the system runs the model.
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We’re sharing how GLM-5.3 helped build and optimize the inference infrastructure serving GLM-5.3-Flash.
The system went from its first successful run to production readiness in less than two weeks, with end-to-end throughput tripling relative to the initial baseline.
The key was dense feedback: local correctness tests, execution traces, microbenchmarks, and end-to-end measurements that enabled targeted hypothesis testing rather than reliance on aggregate performance metrics alone.
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Added ZCode with GLM-5.3 and GLM-5.3-Flash, building on FrontierHarness and @LotusDecoder’s work.
ZCode is the strongest harness for GLM-5.3 so far, and cheaper than the second-place Claude Code + GLM-5.3 combo.
The task set is small, so we ran each combo three times to reduce variance. Passes out of 30:
- GLM-5.3: 26 / 22 / 26
- GLM-5.3-Flash: 24 / 21 / 23
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