Chrome ExtensionGLM 5.2 Prompt Generator
Generate optimized prompts for Z.ai's GLM 5.2 — the 1M-context, MIT-licensed Mixture-of-Experts model built for long-horizon, agentic coding. Pick High or Max thinking-effort, set your task horizon, and let AI craft an ambiguity-killing brief that takes full advantage of GLM's huge context window and step-by-step reasoning.
Be specific about what you want the AI to do
Generated Prompt
Fill in the form and click "Generate" to create an optimized GLM prompt.
Tip: The more specific your task description and context, the better the generated prompt will perform.
GLM Tips
- • With GLM the prompt's job is to REDUCE AMBIGUITY, not to inspire — state goal, boundaries, inputs, and success criteria explicitly
- • For complex multi-file coding and long agentic chains, switch to Max effort — Z.ai's own guidance for hard tasks
- • For agentic work, name the available tools (file system, shell, web search) and the rough decomposition instead of letting GLM guess
- • Use the 1M-token context: paste the whole codebase or full docs, then put your instruction AFTER the context
- • State acceptance criteria ("must compile", "all tests pass", "cite each claim") — GLM follows explicit verification reliably
GLM Update Log
GLM 5.2
● LatestJune 13, 2026- 744B-parameter Mixture-of-Experts model released under a permissive MIT license with no regional restrictions.
- Usable 1M-token context window (~5× GLM 5.1's ~200K) with output up to 131,072 tokens — paste an entire mid-sized codebase or full doc set without chunking.
- New selectable thinking-effort: High for fast everyday code & summaries, Max for slow, deliberate reasoning on complex multi-file coding and long agentic chains.
- Benchmark jumps: 81.0 on Terminal-Bench 2.1 and 62.1 on SWE-bench Pro — substantially ahead of GLM 5.1 and closing the gap to closed-source frontier models.
- Positioned for long-horizon, agentic software engineering: writing, running, and revising code across a whole project.
GLM 5.1
Previous release- ~200K-token context window and a single reasoning path (no selectable effort level).
- Strong general coding and reasoning, but shorter agentic horizons than 5.2.
How to Use the Prompt Generator
Define Your Task
Select a category and describe what you want GLM to do. Choose your thinking-effort — High for fast everyday work, Max for complex multi-step coding and long agentic chains — and set the task horizon.
Add Context & Constraints
Paste the repo structure, full docs, or long source material into context — GLM's 1M-token window handles it. Name available tools for agentic tasks, set the output format, and state your acceptance criteria.
Generate & Use
Click "Generate" to get an ambiguity-killing prompt tailored to your effort level. Copy and paste it into chat.z.ai, the Z.ai API, or any self-hosted GLM deployment.
Frequently Asked Questions
What is GLM 5.2?
GLM 5.2 is Z.ai's (Zhipu AI) flagship model, released June 13, 2026. It is a 744-billion-parameter Mixture-of-Experts model with a usable 1-million-token context window, shipped under a permissive MIT license. Unlike a general chat model, it is purpose-built for long-horizon, agentic software engineering — writing, running, and revising code across an entire project.
What is GLM 5.2's headline new feature?
Selectable thinking-effort. High mode is fast for everyday code, summaries, and lookups. Max mode is slower and more deliberate, spending extra compute reasoning before it answers — Z.ai recommends it for complex, multi-step coding and long agentic chains. The other big jump is the 1M-token context (roughly 5× GLM 5.1) and a fully open MIT license.
How should I prompt GLM 5.2?
The prompt's job with GLM is to reduce ambiguity, not to be inspiring. Give it explicit structure: goal, context, constraints, inputs, output format, and success criteria. For coding, name the language, framework, versions, repo structure, and the exact expected behavior. For agentic work, name the available tools and the rough decomposition. Paste long context first and put your instruction after it.
How does this prompt generator work?
You provide structured inputs — task, role, context, thinking-effort, task horizon, and output format. Our AI applies GLM-specific 2026 best practices: ambiguity-killing structure, effort-aware framing (High tight; Max with explicit step-by-step planning and verification), tool/decomposition naming for agentic tasks, and instruction-after-context placement for the 1M-token window.
Is this tool free to use?
Yes. You get 3 free prompt generations per day with no signup required. For unlimited access, sign up for a Promptslove membership which includes all AI tools and 20,000+ premium prompts.
What is GLM 5.2 best at?
Long-horizon, agentic software engineering — multi-file refactors, end-to-end features, and tasks where the model writes, runs, and revises code across a whole project. Its 1M-token context makes it strong for whole-codebase or whole-document analysis, and Max effort gives reliable results on complex multi-step coding and reasoning.
Is GLM 5.2 open source?
Yes. Z.ai shipped GLM 5.2 under an MIT license with no regional restrictions — a rare move for a frontier model from a major Chinese lab. The weights can be self-hosted and fine-tuned, and the prompts from this generator work equally well with managed (Z.ai API) and self-hosted deployments.
Can I use these prompts with other AI tools?
Yes. The generated prompts follow universal prompt-engineering principles and work well with Claude, Gemini, DeepSeek, Kimi, Qwen, and MiniMax. The effort-mode and agentic-decomposition framing is GLM-specific but degrades gracefully on other platforms.
How many prompts can I generate for free?
You get 3 free prompt generations every 24 hours. This resets automatically. For unlimited generations, consider signing up for a Promptslove membership.
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