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ModelsZ.ai (Zhipu)

Z.ai releases GLM-5, an MIT-licensed open model for agentic engineering

Z.ai (Zhipu) GLM-5 at a glance

GLM-5 scales to 744B total and 40B active parameters, adds DeepSeek Sparse Attention, and ships under the MIT license on Hugging Face.

What changed with Z.ai (Zhipu) GLM-5

Z.ai's release notes list GLM-5 on February 12, 2026. The model card describes 744B total and 40B active parameters, up from GLM-4.5's 355B, with DeepSeek Sparse Attention for token efficiency and a focus on complex systems engineering and long-running agent tasks.

Z.ai reports results such as 77.8 on SWE-bench Verified and 56.2 on Terminal-Bench 2.0, and claims the best open-source scores on reasoning, coding, and agent tests at release. These are self-reported. Weights are on Hugging Face under the MIT license.

Z.ai (Zhipu) GLM-5 benchmarks and pricing

Values are copied from the linked source on the date shown. They are not IA Compa measurements.

How it compares

Other models in the same category that we have covered, using each model's latest recorded value. (Models)

Output speed (tokens/s)higher is better
Input price (USD per 1M tokens)lower is better
Output price (USD per 1M tokens)lower is better

Where to compare Z.ai (Zhipu) GLM-5

Independent leaderboards and official resources for comparing this model yourself. Rankings change often; each site shows its own current data.

Why Z.ai (Zhipu) GLM-5 matters for businesses

Artificial Analysis lists GLM-5 (Reasoning) at about 62 tokens per second and $1.00/$3.20 per 1M input/output tokens, and now points users to later GLM-5.x releases. A permissive license on a frontier-class model gives agencies a strong self-hosting option for coding agents.

Sources for this story

  1. Official
  2. GLM-5 model card (opens in a new tab)

    Z.ai on Hugging Face · huggingface.co

    Official
  3. GLM-5 model analysis (opens in a new tab)

    Artificial Analysis · artificialanalysis.ai

    Benchmark

Last verified: . IA Compa summarizes public announcements for business readers. We are not affiliated with the companies mentioned. Always confirm details, pricing, and availability with the official source.

  • #llm
  • #zai
  • #glm
  • #open-weights
  • #mit-license

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