Introducing GLM-5.2: Frontier Intelligence, Open Weights
- Significant improvements in coding and agentic tasks
- Strong long-horizon capabilities with a 1M context window
- Two levels of reasoning effort: GLM-5.2 (max) pushes the limits, while GLM-5.2 (high) strikes a strong
GLM-5.2 is now selectable in Claude Code via Hugging Face🤗 Inference Providers + hf-claude.
Open models are becoming easier to plug directly into real developer workflows. 😀
Introducing ZCode, the official development environment for GLM-5.2
- GLM Coding Plan subscribers: now 1.5x usage quota in ZCode
- BYOK supported: works with your existing subscriptions and APIs
- Available on macOS, Windows, and Linux
Download now:
GLM-5.2 just tied for #2 on SportEval’s World Cup Exact Score Hit Rate leaderboard.
⚽ 13 exact-score hits out of 76 matches
📊 17.1% accuracy
🥈 Second only to GPT-5.5
That puts @Zai_org ahead of Claude Opus 4.8, DeepSeek V4 Pro, Gemini 3.5 Flash, and more on one of football’s
I spend 10 minutes a day trying a new app. matrix.build is my favorite app today. You can tell from a product whether the team's thinking is clear. The thing I love about matrix is it helps you nail down what to build and why before it runs the whole thing. GLM-5.2 now
matrix @matrix_build is partnering with @Zai_org to bring glm-5.2 directly into the hands of anyone who creates real companies with ai 😎
glm-5.2 is built for exactly the kind of work matrix users can do: long-horizon coding, product building, and complex multi-step execution,
Right alongside Cursor, Devin Desktop (Windsurf) and CLI now support GLM-5.2 as well.
FrontierCode Extended is a benchmark we care deeply about for real-world engineering tasks, so it's great to see GLM-5.2 coming close to GPT-5.5 here.
Also congrats to @Kimi_Moonshot!
Kimi K2.7 Code and GLM 5.2 are available in Devin Desktop and CLI
Both perform strongly on FrontierCode Extended, our benchmark for real-world engineering tasks:
GLM 5.2: 43.0%
Kimi K2.7 Code: 39.5%
Pro/Max/Teams users can try both models for free until July 5
GLM-5.2 is now available in Cursor.
The model has performed strongly on OpenRouter's Cursor usage rankings over the past week. Would love to hear comparisons of the experience using BYOK (GLM Coding Plan, etc.), Cursor's built-in option, and calling it through OpenRouter.
GLM-5.2 is available in Perplexity's Agent API. Just tested it, and it's powerful when paired with the Search SDK inside a sandbox.
- Spin up a sandbox environment
- Call the web search tool (people search, finance search, etc. also work)
- Pretty good for wide & deep research
@Zai_org's flagship model, GLM-5.2, is now available in Perplexity's Agent API.
GLM-5.2 is one of the strongest open-source models for long-horizon coding and agentic workflows. It shines in Agent API, making particularly effective use of our Search as Code architecture.
Here is the prompt method behind this AR try-on app.
The trick is not a magic prompt. It is the architecture of the prompt, and it works across GLM-5.2 and other frontier models.
Full prompt: chat.z.ai/space/k148m5py…
The prompt has two parts.
First, a task description. You
GLM-5.2 delivers a substantial leap in app development capabilities, which also represent demanding long-horizon tasks.
Results:
- GLM-5.1: 21/70
- GLM-5.2: 48/70
- Claude Fable 5: 56/70
That's more than a twofold improvement from GLM-5.1 to GLM-5.2.
These come from an
GLM 5.2 x AWS
GLM-5.2 is accessible via Z.ai GLM API on AWS Marketplace 🚀
Powerful long-horizon autonomous workflows, top-tier coding & multi-step agent reasoning capability, delivered through a single unified API endpoint.
Integrate seamlessly within your
GLM-5.2 is not only stronger on benchmarks, but also much better in real app development scenarios — iOS, Android, WeChat Mini Programs, and more.
Behind this jump is a full loop from environment construction, evaluation, data optimization, reward design, to training.
Real
GLM-5.2 delivers a substantial leap in app development capabilities, which also represent demanding long-horizon tasks.
Results:
- GLM-5.1: 21/70
- GLM-5.2: 48/70
- Claude Fable 5: 56/70
That's more than a twofold improvement from GLM-5.1 to GLM-5.2.
These come from an
Long-horizon is more than a concept. It should live in real-world scenarios, empowering AI builders to solve the problems that matter.
And more scenarios are on the way.
GLM-5.2 delivers a substantial leap in app development capabilities, which also represent demanding long-horizon tasks.
Results:
- GLM-5.1: 21/70
- GLM-5.2: 48/70
- Claude Fable 5: 56/70
That's more than a twofold improvement from GLM-5.1 to GLM-5.2.
These come from an
