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Model details

GLM-5.1

GLM-5.1 was introduced by Z.ai on April 7, 2026 as an open-weight flagship model built around sustained, long-horizon agentic execution rather than short interactive turns. According to the official release notes, the model is designed to work independently for up to eight hours in a single run, completing a full loop from planning and execution through iterative refinement to final delivery. It is positioned as a step toward broader engineering intelligence, with stronger capabilities in autonomous planning, sustained execution, bug fixing, and strategy iteration, and is described as achieving comprehensive capability alignment with Claude Opus 4.6 at release.

Beyond the headline long-horizon behavior, GLM-5.1 was trained with multi-turn supervised fine-tuning, reinforcement learning, and a process-quality evaluation framework aimed at improving stability, consistency, and tool use over extended tasks. Its direct successor, GLM-5.2, is explicitly framed on Z.ai's blog as a substantial leap in long-horizon task capability over GLM-5.1, which establishes 5.1 as the prior flagship in this agent-focused line. Practically, the model fits teams needing an open-weight coding and agentic assistant that can drive multi-hour engineering workflows on its own, while later variants in the family push further into million-token context and advanced agent coding.

Abacuszai-org/GLM-5.1glm

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Provider
Abacus
Model key
zai-org/GLM-5.1
Release date
Apr 7, 2026
Last updated
Apr 7, 2026
Input modalities
Output modalities
Capabilities

Cost

Input token cost
$1.40
Output token cost
$4.40

Limits

Output tokens
131,072 tokens
Context window
204,800 tokens

Transparent token rates

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Rates are shown per one million tokens. Combined means one million input plus one million output tokens.

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Latest news about GLM-5.1

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CoverageRelease Notes

Z.AI's official developer documentation release-notes page lists GLM-5.1 with a release date of 2026-04-07, describing it as a model designed for long-horizon tasks capable of working independently for up to 8 hours in a single run, covering a full loop from planning and execution through iterative refinement to final The same Z.AI page contextualizes GLM-5.1 within its release lineage, showing it has since been followed by GLM-5.2 (2026-06-16, adding 1M lossless context), GLM-5.3 (2026-08-18, with significant coding gains and emergent cybersecurity capabilities), and GLM-5.3-Flash (2026-08-26, adding native visual capabilities). Cr

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