Sulat.com
AI models
$10 off the fastest DeepSeek V4.1 Flash, Kimi K3 and GLM 5.3 from Synthetic
Qiniu logo

Model details

Z-Ai/GLM 5

Z-Ai/GLM 5 is positioned as a general-purpose text language model within the Z.ai / Zhipu lineage, oriented toward reasoning-intensive and agent-style workloads. Independent third-party commentary has highlighted its coding ability, noting that an anonymous listing later attributed to the GLM family produced outputs described as remarkably close to a leading Western flagship on programming tasks, framing the model as a competitive challenger in coding scenarios. That same community-driven identification narrative underscores GLM 5's intended role as a capable, cost-oriented alternative for builders evaluating non-Western frontier options.

In practical terms, GLM 5 is best understood as a successor-tier release that continues Z.ai's pattern of pairing broad language understanding with strong code generation, while later sibling variants such as GLM-5.1 and a teased GLM-5.3 suggest an actively iterated family rather than a one-off release. For teams selecting a model, the fit centers on text-based reasoning, conversational coding assistance, and agent-oriented use cases where the GLM lineage has been positioned against premium Western competitors, with the expectation of ongoing capability improvements as the family evolves.

Qiniuz-ai/glm-5

Quick Info

Powered by
Provider
Qiniu
Model key
z-ai/glm-5
Release date
Feb 12, 2026
Last updated
Feb 12, 2026
Input modalities
Output modalities
Capabilities

Limits

Output tokens
128,000 tokens
Context window
200,000 tokens

Latest news about Z-Ai/GLM 5

Qiniu

CoverageBenchmark

Zhipu AI (operating internationally as Z.ai, Hugging Face org zai-org) released GLM-5 as its flagship open-weights large language model, targeting complex systems engineering and long-horizon agentic tasks. The GLM-5 weight repository on Hugging Face was created on 2026-02-11, with the public release dated to that same Notable technical features of GLM-5 include integration of DeepSeek Sparse Attention (DSA), which reduces deployment cost while preserving long-context capacity, and a novel asynchronous reinforcement-learning infrastructure named "slime" that decouples generation from training. The arXiv technical report "GLM-5: from

Videos about Z-Ai/GLM 5