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Model details

GLM-5.1 (Z.ai)

GLM-5.1 is a text model from Z.ai, formerly Zhipu AI, positioned for software-development work within the GLM Coding Plan. The available launch report says it was made available to all plan users, establishing a clear coding-oriented use case without attributing to it an architecture, training method, parameter count, or context design that the supplied evidence does not establish.

In one reported coding evaluation conducted with Claude Code as the testing tool, GLM-5.1 scored 45.3, compared with 35.4 for its predecessor GLM-5 and 47.9 for Claude Opus 4.6. The report characterizes this as a 28% improvement over GLM-5 and 94.6% of the Opus score, suggesting strong practical potential for coding tasks while treating the single-source benchmark as reported rather than independently reproduced evidence.

AIHubMixzai-glm-5.1glm

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Provider
AIHubMix
Model key
zai-glm-5.1
Release date
Mar 27, 2026
Last updated
Mar 27, 2026
Input modalities
Output modalities
Capabilities

Cost

Input token cost
$0.845
Output token cost
$3.38

Limits

Output tokens
128,000 tokens
Context window
200,000 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 (Z.ai)

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Coverage

A third-party research guide from NYU Shanghai's RITS group documents Z.ai's release of GLM-5.1 on April 7, 2026, framing it as a 754-billion-parameter open-weight Mixture-of-Experts model with roughly 40 billion active parameters per token and a Dynamic Sparse Attention (DSA) architecture, licensed under MIT with no r The same article highlights GLM-5.1's long-horizon agentic engineering capabilities, reporting that the model autonomously built a complete Linux desktop system over an eight-hour session spanning 655 iterations of planning, execution, testing, and optimization, and in another test increased vector database query throu

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