Zhipu (Z.AI) Advanced Open weight Available in FlowHunt

GLM-5.3-Flash

GLM-5.3-Flash is an advanced-tier AI model from Zhipu (Z.AI), released in August 2026. It is an open-weight mixture-of-experts model with 320B total and 18B active parameters, released under the MIT licence. The context window is 1M tokens.

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With 18B parameters active per token out of 320B in total, GLM-5.3-Flash keeps the compute per token well below what its total size suggests. The MIT licence allows self-hosting, fine-tuning, and commercial use without per-token API fees.

Benchmarks

Each score appears once, with its rank among tracked models and who measured it.

Compared with Advanced peers on the same scale
  • GLM-5.3-Flashthis model
  • Mistral Large 4this model leads on 4 of 4
  • Claude Sonnet 5.5this model leads on 0 of 4
Verified independent evaluator, counted in the ranking
Overall

AA Intelligence Index

Independent composite of agent, coding, knowledge and science tests by Artificial Analysis (v4).

Source ↗

GLM-5.3-Flash 41.8 Mistral Large 4 38.4 Claude Sonnet 5.5 56.0
#15of 45 Verified
Coding

DeepSWE

113 long-horizon software tasks written from scratch, graded by hidden tests.

Source ↗

GLM-5.3-Flash 63.4% Mistral Large 4 61.7% Claude Sonnet 5.5 71.0%
#9of 17 Verified

SWE-bench Verified

500 verified GitHub issues. Saturated at the frontier.

Source ↗

GLM-5.3-Flash 92.0% Mistral Large 4 No score Claude Sonnet 5.5 No score
#6of 22 Verified
Agents

Terminal-Bench 4.0

Multi-step professional tasks done by an agent in a command-line terminal.

Source ↗

GLM-5.3-Flash 32.8% Mistral Large 4 26.8% Claude Sonnet 5.5 63.6%
#12of 36 Verified

Humanity's Last Exam

Expert-written questions across 100+ subjects, no tools.

Source ↗

GLM-5.3-Flash 39.9% Mistral Large 4 35.0% Claude Sonnet 5.5 55.0%
#24of 44 Verified

GPQA Diamond

Graduate-level science questions that search cannot answer.

Source ↗Also: Verified 86.4% (Vals AI own implementation)

GLM-5.3-Flash 91.2% Mistral Large 4 No score Claude Sonnet 5.5 No score
#19of 37 Verified

ARC-AGI-2

Novel visual puzzles that cannot be memorised.

Source ↗

GLM-5.3-Flash 65.8% Mistral Large 4 No score Claude Sonnet 5.5 No score
#16of 27 Verified

What to Use GLM-5.3-Flash For

Self-Hosted & Private Deployments

GLM-5.3-Flash is open-weight under the MIT licence. Run it on your own GPU hardware or private cloud to keep data in your environment or fine-tune it on proprietary datasets.

Cost-Conscious Serving of a Large Model

Only 18B of its 320B parameters are active per token, which lowers the compute needed for each request compared with a dense model of the same total size.

Long-Document & Codebase Analysis

With a 1M-token context window, it can take in entire repositories, long contracts, or extended histories in a single prompt.

Strengths and limitations

Strengths

  • Open weights under the MIT licence
  • Mixture-of-experts design with 18B active parameters
  • Self-hosted and data-private deployments
  • Very long documents and large codebases (1M context)

Limitations

  • Self-hosting a 320B-parameter model needs substantial GPU memory

Use it in FlowHunt

Use GLM-5.3-Flash in any flow, next to your own tools and knowledge sources.

  1. 1Open a flow, or create one from a template
  2. 2Add an AI Agent or Generator component
  3. 3Pick GLM-5.3-Flash in the model selector

Related AI Models

About Zhipu (Z.AI) Beijing, China · Founded 2019 · z.ai

Zhipu AI, also branded Z.ai, is a Beijing-based AI company founded in 2019 as a spin-out of Tsinghua University research. It develops the GLM family of models.

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Frequently asked questions