Z.ai

glm-5.2:cloud

High usage

GLM-5.2 is Z.ai's flagship model for the era of long-horizon tasks. With a truly usable 1M-token context window, it handles project-level engineering context, executes long-running tasks reliably, and completes the full development workflow from requirements to multi-platform deployment in a single task.

toolsthinkingcloudCommunity r/ZaiGLM

Context window976K

ModalitiesText

Size756B

Pulls334.2K

Tags1

Updated2 months ago

ollama run glm-5.2:cloud

What's new

Solid 1M context — a 1M-token context that stably sustains long-horizon work, not just accepts more tokens.
Advanced coding with flexible effort — stronger coding with multiple thinking effort levels (High and Max) to balance performance against latency and compute.
Pure open — an MIT open-source license.

Benchmark highlights — strongest open-source model on coding

Benchmark	Score
Terminal-Bench 2.1	81.0
SWE-bench Pro	62.1
FrontierSWE	trails Opus 4.8 by 1%
PostTrainBench	2nd only to Opus 4.8
SWE-Marathon	2nd only to Opus series

Best practices

Effort level control — explicitly balance capability against speed and cost; Max effort allocates additional compute for challenging tasks.
Long-horizon engineering — feed full project context; the 1M window keeps quality across long, messy coding-agent trajectories.
Single-task workflows — complete requirements-to-deployment workflows in one task.

Specs sourced from ollama.com/library/glm-5.2 · Retrieved 2026-08-29