GLM-5.3-Flash
GLM-5.3-Flash from Z.ai is a mixture-of-experts model with 18 billion active parameters, image input and one million tokens of context. On LMArena, human raters score it particularly well for coding and maths. Quantised it needs about 230 GB, so it runs on a Mac Studio with 512 GB or a server with several GPUs.
Profile
- Maker
- Z.ai · China
- Licence
- Free for commercial use
- Runs on
- Mac Studio with 512 GB
- Memory at 4 bits
- 230 GB
- Memory at 8 bits
- 341 GB
- Parameters
- 321.3bn, 18bn active
- Context
- 1 m tokens
- Inputs
- text, image
- Released
- August 2026
Scores
- Human rating
- 1471 · rank 4 of 226 open
- In German
- 1466 · rank 7 of 154 open
- Epoch index
- 153.2 · rank 5 of 127 open
- GPQA Diamond (expert questions)
- 86.9 %
- AIME (maths)
- 93.9 %
- LMArena · Coding
- 1508 · 2/221
- LMArena · Maths
- 1505 · 1/215
- LMArena · Creative writing
- 1441 · 7/224
- LMArena · Following instructions
- 1478 · 3/226
- LMArena · Hard prompts
- 1490 · 3/226
- LMArena · Long prompts
- 1482 · 3/205
- LMArena · Multi-turn dialogue
- 1469 · 6/224
- LMArena · Building websites (WebDev)
- 1607 · 9/58
- LMArena · Understanding images (Vision)
- 1296 · 1/49
Scores: LMArena, Epoch AI, EuroEval, Hugging Face, models.dev; as of 19 October 2026. Sources and method →
Use cases
Where the model makes sense.
Coding agent for the whole repository
- Situation
- A software company wants agents on large codebases without handing code to cloud providers.
- What it looks like
- The model runs on a Mac Studio or server on site; a coding agent reads the repository, writes changes and runs tests.
- What to watch
- Let agents work in an isolated environment and review every change as a pull request.
Entire document collections at once
- Situation
- Audits, due diligence or litigation require reviewing extensive documents.
- What it looks like
- With one million tokens of context, a great many pages fit into one request; the model looks for contradictions, deadlines and anomalies.
- What to watch
- With very long contexts even large models miss details. Ask specifically about important passages.
Technical and mathematical tasks
- Situation
- Engineering firms and research departments work with calculations, formulas and measurement data.
- What it looks like
- The model derives solution paths, checks formulas and writes analysis scripts for measurement data.
- What to watch
- Cross-check results with established calculation software.
Multi-step agents across many systems
- Situation
- A process touches several systems, such as quoting, project planning and invoicing.
- What it looks like
- The model plans the steps, calls the systems’ tools and documents what it did.
- What to watch
- Keep logs and keep permissions per tool narrow.
The use cases were written with AI assistance (Claude by Anthropic) and reviewed by vona. Scores come unchanged from the sources listed.
When another model fits better
The hardware costs five figures. For most teams, Qwen3.5 122B-A10B on a Mac Studio with 128 GB or Qwen 3.8 27B on a computer with 32 GB is enough.
How to start
ollama run glm-5.3-flashWith Ollama or llama.cpp on a Mac Studio with 512 GB; on GPU servers, programs such as vLLM work well.
Suitable interfaces and programs from our directory: Ollama, Pi, LibreChat
Licence: Free for commercial use
The licence allows commercial use, modification and redistribution; the main obligation is to keep the licence notice.
Hugging Face ↗Z.ai as a cloud service in the AI tools directory →Similar models
Comparable models.
Alibaba (Qwen) · China
Qwen3.5 397B-A17B
The large model of Alibaba's Qwen 3.5 series with image input. Only 17 billion parameters are active per request; quantised, it runs on a Mac Studio with 512 GB.
Free for commercial use · Runs on: Mac Studio with 512 GB
In the overview →Xiaomi · China
MiMo-V2.6-Flash
The smaller version of MiMo-V2.6 with the same input types (text, image, audio, video). With 4-bit quantisation a Mac Studio with 512 GB is enough.
Free for commercial use · Runs on: Mac Studio with 512 GB
In the overview →Alibaba (Qwen) · China
Qwen3.5 122B-A10B
Mid-sized Qwen model with image input and 262,000 tokens of context. With 4-bit quantisation it fits on a Mac Studio with 128 GB.
Free for commercial use · Runs on: Mac Studio with 128 GB
Use cases and details →
FAQ
What hardware do I need for GLM-5.3-Flash?
In the common 4-bit version, GLM-5.3-Flash needs about 230 GB of memory including headroom for context and runtime. That fits: Mac Studio with 512 GB. The more accurate 8-bit version needs about 341 GB. Long documents increase the requirement.
May I use GLM-5.3-Flash commercially?
The licence allows commercial use, modification and redistribution; the main obligation is to keep the licence notice.
How good is GLM-5.3-Flash in German?
On LMArena, people rate GLM-5.3-Flash at 1466 points for prompts in German, rank 7 of 154 open models. The best way to see whether it suits your texts is a test with your own examples.
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