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Model details

GLM-5.1

GLM-5.1 is positioned as Z.AI's next-generation flagship model aimed specifically at agentic engineering workloads, reflecting the company's continued push beyond conversational chat into autonomous tool-using systems. Distributed under an open MIT license, it is designed for developers who need a base model they can self-host, fine-tune, or integrate into agent pipelines without restrictive licensing, making it a practical fit for organizations building coding assistants, multi-step task agents, and retrieval-augmented workflows that demand long input handling.

At an architectural level, GLM-5.1 is a 754-billion parameter Mixture-of-Experts design that activates 40 billion parameters per token, a sparsity profile that aims to deliver frontier-tier reasoning capacity while keeping per-request compute closer to that of much smaller dense models. That balance, combined with its very large context window, makes it well suited to repository-scale code understanding, multi-document synthesis, and extended agent trajectories where a model must hold substantial state across many tool calls. For practitioners, the practical appeal is a single open-weight checkpoint that can serve as the reasoning backbone for production agent stacks while remaining light enough on active parameters to be cost-feasible at inference.

Alibaba Token Planglm-5.1glm

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Model key
glm-5.1
Release date
Apr 7, 2026
Last updated
Apr 7, 2026
Input modalities
Output modalities
Capabilities

Cost

A provider subscription or plan supersedes token-based pricing for this model.

Limits

Output tokens
128,000 tokens
Context window
202,752 tokens

Latest news about GLM-5.1

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CoverageBenchmark

The InferenceX (SemiAnalysis) page provides an architectural overview of GLM-5 and GLM-5.1, identifying both as Zhipu AI / Z.ai flagship open-weights models. GLM-5 scaled from GLM-4.5's 355B/32B-active parameters to 744B/40B-active, with pre-training data expanded from 23T to 28.5T tokens, integrating DeepSeek Sparse A The page reports that the GLM-5 weight repository was created on Hugging Face on 2026-02-11 and the GLM-5.1 repository on 2026-04-03, with third-party documentation dating the public GLM-5.1 release to April 7, 2026. Both models are MIT-licensed, served via the Z.ai API with a 200K context window and 128K maximum outpu

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CoverageRelease Notes

Z.AI's official developer release-notes page documents GLM-5.1 with a release date of 2026-04-07, describing it as designed for long-horizon tasks where the model can work independently for up to 8 hours in a single run, covering planning, execution, iterative refinement, and final delivery. The page states GLM-5.1 dem The same Z.AI release-notes page indicates GLM-5.1 was built using a combination of multi-turn supervised fine-tuning (SFT), reinforcement learning (RL), and a process-based methodology (the excerpt is truncated). This is the official first-party source from Z.AI, the model creator, providing direct technical detail ab

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