The open-weight model that caught the frontier. Built for long-horizon tasks, competitive with closed giants, at a fraction of the cost.
Closed models like Claude Opus, GPT-5.5, and Gemini 3.1 Pro are excellent — but they're expensive, opaque, and you can't run them yourself. For creatives and small businesses, that's a problem.
Pricing changes without notice. APIs deprecate. Your workflow depends on their uptime.
Claude Opus 4.8 and GPT-5.5 cost 6-10× more per token than open alternatives. That adds up fast for agentic workflows.
Can't run them on your own hardware. Can't fine-tune. Can't go air-gapped for sensitive client data.
Released June 13, 2026 by Z.ai (Zhipu AI). A 753B-parameter mixture-of-experts model with 40B active per token, 384 experts, and a truly usable 1-million-token context window.
Novel sparse attention that reuses one indexer across every 4 attention layers — cutting per-token FLOPs by 2.9× at 1M context. Improved MTP layer for 20% better speculative decoding acceptance.
Two modes: High and Max. Max delivers stronger reasoning for complex tasks. Disable thinking entirely for fast, cheap responses. You control the cost/quality dial.
The jump from 5.1 to 5.2 is not incremental. Terminal-Bench alone is a generational leap.
| Benchmark | GLM-5.2 | GLM-5.1 | Delta |
|---|---|---|---|
| Terminal-Bench 2.1 | 81.0 | 62.0 | +19.0 📈 |
| SWE-bench Pro | 62.1 | 58.4 | +3.7 |
| FrontierSWE (Dominance) | 74.4 | 30.5 | +43.9 📈 |
| PostTrainBench | 34.3 | 20.1 | +14.2 |
| SWE-Marathon | 13.0 | 1.0 | +12.0 |
| MCP-Atlas (Agentic) | 76.8 | 71.8 | +5.0 |
| AIME 2026 | 99.2 | 95.3 | +3.9 |
| GPQA-Diamond | 91.2 | 86.2 | +5.0 |
| HLE (w/ Tools) | 54.7 | 52.3 | +2.4 |
Z.ai's published benchmarks show GLM-5.2 competitive with — and in some cases ahead of — closed frontier models.
| Benchmark | GLM-5.2 | Claude Opus 4.8 | GPT-5.5 | Gemini 3.1 Pro |
|---|---|---|---|---|
| SWE-bench Pro (Coding) | 62.1 | 69.2 | 58.6 | 54.2 |
| Terminal-Bench 2.1 | 81.0 | 85.0 | 84.0 | 74.0 |
| FrontierSWE | 74.4 | 75.1 | 72.6 | 39.6 |
| MCP-Atlas (Agentic) | 76.8 | 77.8 | 75.3 | 69.2 |
| PostTrainBench | 34.3 | 37.2 | 28.4 | 21.6 |
| AIME 2026 (Math) | 99.2 | 95.7 | 98.3 | 98.2 |
| GPQA-Diamond (Science) | 91.2 | 93.6 | 93.6 | 94.3 |
| HLE w/ Tools | 54.7 | 57.9 | 52.2 | 51.4 |
GLM-5.2 delivers frontier-adjacent coding and reasoning at a price point that makes agentic workflows economically viable for small teams and solo creators.
Terminal-Bench 2.1 measures whether a model can drive a real shell to completion — read output, recover from errors, chain commands, finish the task.
GLM-5.2 isn't just a coding model. Its 1M context, tool use, and open weights unlock real workflows for content creators, designers, and digital artists.
Drop an entire brand guide, style guide, and content calendar into context. The model holds all of it — no re-explaining your aesthetic every prompt.
1M Token ContextMCP-Atlas score of 76.8 means it can orchestrate multiple tools — search, generate, edit, deploy — in a single chain. Build your own creative pipeline.
Tool Use & MCPMIT license means you can fine-tune on your own portfolio, brand voice, or client style guide. Run it air-gapped for NDA-sensitive client work.
Open WeightsNative support for Remotion framework — generate video content programmatically with React code. From idea to rendered MP4 in one session.
Remotion SupportAt $1.40/$4.40 per 1M tokens, you can run long agentic loops without watching the meter. 6× cheaper than Claude Opus for comparable coding quality.
~1/6 Frontier CostWorks with Claude Code, Cline, Cursor, OpenClaw, and any OpenAI-compatible tool. No rewrite needed — change one model ID and go.
OpenAI-Compatible APIIf you're running a small business, agency, or freelance operation, GLM-5.2 changes the math on what AI can do for you — without the enterprise price tag.
Feed your entire website, CRM, or app codebase into context. The model understands your architecture, API contracts, and conventions — then ships fixes that respect them.
Project-Level CodingLong-horizon task capability means it can run multi-step research — gather data, analyze, cross-reference, and produce a structured report — without losing the thread.
Long-Horizon TasksSelf-host on your own hardware. Client data, proprietary workflows, and business logic never leave your infrastructure. No third-party API calls.
Air-Gapped ReadyFrom requirements to deployable product in a single task. GLM-5.2 handles the full dev workflow — design, implement, test, deploy across platforms.
End-to-End DevMIT license, no geographic limits. Available on Hugging Face, Ollama, and OpenRouter. Your team anywhere in the world has equal access.
No BordersSelf-host for zero per-token cost, or use the API at $1.40/$4.40. Z.ai Coding Plans start at $10/mo. No surprise enterprise contracts.
$10/mo PlansWhether you want the cloud API, local self-hosting, or a router — there's a path for every skill level.
Direct from Z.ai. Coding Plans from $10/mo (Lite) to $80/mo (Team). OpenAI-compatible endpoint. Anthropic-compatible coding endpoint for Claude Code.
api.z.ai/api/paas/v4/
Run it locally with one command. MIT-licensed weights from Hugging Face. Requires significant hardware (753B MoE, 40B active).
ollama pull glm-5.2
Route through OpenRouter as z-ai/glm-5.2. $1.40 input / $4.40 output per 1M tokens. No direct key management needed.
openrouter.ai/z-ai/glm-5.2
This isn't just about price. It's about control, ownership, and future-proofing your AI stack.
GLM-5.2 proves the open-weight frontier is here. The AI Creators Roundtable is where you learn to wield it — prompts, workflows, and playbooks for the new open era.