GLM 5.3 NVFP4

Z.ai, open modelglm-5.3-nvfp4Model source: Hugging Face

An all-rounder for writing and coding, with tool use.

Reads in one go

≈ 2,200 pages

1,048,576 tokens

Brain size

Very large

753B MoE, 40B active, NVFP4

Where it runs

Spain (EU)

8× B200

Understands

Text, not images

Chat, Coding, Reasoning, Tools

What it is good at

Reasoning. Thinks in several steps before answering, for problems that take more than one.
Coding. Understands large codebases and proposes complete changes.
Tools. Searches, queries data and calls other systems. The basis of an agent.
MoE. Mixture of Experts: it splits big tasks and shares them among specialists, switching on only the ones it needs. It performs like a huge model without costing like one.
Long context. Reads enormous documents in one go without losing the thread.

Only need simple chat, classification or translation? Qwen3.5 9B does it for a fraction of the price, and switching model is switching one word.

Pricing

€ per million tokens, VAT included

You send (input)1.206 €

It answers (output)3.789 €

Re-reading repeats (cache)0.224 €

1,000 chat answers~1.74 €

Analysing a 200 page contract~0.12 €

try it with 50 € freeNo card. Enough for about 28,741 answers.

For your technical team

Compatible with the OpenAI SDK: change the base URL and the key, and that is it.

curl https://api.gpuflow.ai/v1/chat/completions \
  -H "Authorization: Bearer $GPUFLOW_API_KEY" \
  -d '{ "model": "glm-5.3-nvfp4",
        "messages": [{ "role": "user", "content": "Hola" }] }'