Z
GLM 5.3OPEN
GLM-5.3 is a large-scale reasoning model from Z.ai, built for complex software engineering and long-horizon agent tasks.
Prices update automatically — checked daily against provider list prices.
- $2.15 per 1M tokens, assuming 3 input for 1 output the convention used by Artificial Analysis
- cheaper than 4% of the 191 open-weight models tracked here
- 15 of 15 Z.AI models tracked here, from cheapest
Benchmarks & performance
Independent benchmark scores for GLM 5.3, measured by Artificial Analysis. Higher is better. Measurement mode: max.
For the same budget, GLM 5.3 delivers 4.4 times more capability. Open weights also mean you can self-host it and pay nothing per token.
Models at this level cost $3 per 1M tokens (median of 7) — this one costs $2.15.
Cheaper and better on this index: GPT-5.6 Sol (batch)
About this model
GLM 5.3 is an open-weight AI model by Z.AI. You can download and self-host it for free; the prices below are hosted-API list prices, tracked daily, for when you prefer convenience over self-hosting.
Frequently asked questions
What is GLM 5.3?
GLM 5.3 is an AI language model from Z.AI. It is open-weight: you can download it and run it on your own hardware, for free. It scores 59.5 on the Artificial Analysis intelligence index.
Is GLM 5.3 free?
The weights are free and open — you can self-host GLM 5.3 and pay nothing per token. If you prefer a hosted API, list prices are $1.4 per million input tokens and $4.4 per million output tokens.
What is GLM 5.3 good at?
Independent benchmarks from Artificial Analysis give it GPQA 91.7%, Humanity's Last Exam 42.3%, Long Context Reasoning 76.3%, SciCode 56.5%, τ-Bench Banking 50.3%, Terminal-Bench 83.9%. It is particularly used for code generation.
How fast is GLM 5.3?
It generates about 65.9 tokens per second, with a median 1.54s delay before the first token. Measured independently by Artificial Analysis.
Can I self-host GLM 5.3?
Yes. GLM 5.3 has open weights, so you can download it and run it on your own GPU or server with tools like Ollama, vLLM or llama.cpp — with no per-token cost.