GLM-5.3
Z.ai's GLM-5.3 is a very large model focused on coding and cyber tasks, free to download under restricted terms and needing powerful servers to run.
Key facts
- Released
- Aug 14, 2026
- What it does
- Text and chat: Writes, answers questions and holds a conversation.Thinks first: Can reason step by step before it answers: slower, but better at maths, code and tricky questions.
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- How
- Free to download, with some licence limits
- Size
- Parameters: The numbers a model learns during training: a rough measure of its size. Bigger usually means more capable, but slower and pricier to run. 7B means 7 billion.
- Announced as
- “GLM-5.3: Frontier Coding with Emergent Cyber Capabilities”
From trckr's archive of releases before it started watching. Date and details from Epoch AI's database of AI models (CC BY 4.0).
Price and limits
What developers pay to use it through the API: How developers plug a model into their own apps and pay per use. A model that's "in the API" can be used by programmers, even if it isn't in a chat app yet., per million Tokens: The small chunks of text a model reads and writes, about three-quarters of a word each. Prices and limits are counted in tokens. sent (input) or written back (output), and how much it can take in at once.
- Input
- $1.40
- per million tokensCached: $0.26
- Output
- $4.40
- per million tokens
- Context window: How much a model can keep in mind at once: your question, any files you share and its own replies. Measured in tokens; 1,000 tokens is about 750 words.
- 1M tokens
- about 750,000 words
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- Longest answer
- 131K tokens (about 98,000 words)
From the lab's own listing on models.dev and OpenRouter, checked .
How it scores
From independent testers, never the lab's own claims.
- Building apps, by people's votes#25 of 85
- Claude Opus 5.51,818
- 2Claude Sonnet 5.51,773
- 24Qwen3.8-Flash-Next1,624
- 25GLM-5.31,622
- 26DeepSeek V4.1 Flash1,621
Source: LMArena · LMArena WebDev
Compare GLM-5.3 with
It came out 59 days after GLM-5.2, the lab's previous model.
The details
GLM-5.3 is a 740 billion parameters: Data-centre scale: it runs on many chips (GPUs) at once. Parameters are the numbers a model learns: a rough measure of its size. text model from Z.ai (Zhipu), described as strong at coding and showing emergent cyber capabilities, released as Open weights: The model's files are public, so anyone can download it, run it on their own computer and build on it, usually for free. trckr labels these "Open". with restricted use.
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