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GLM-4.7-Flash

Hugging Face (open weights) Open weights

The catch: Text-only, and the card does not state a context length (the 202,752 figure comes from config.json).

AccessOpen weights
Free limitsFree to download and self-host; you pay only for your own compute. 30B total / 3B active (MoE), small enough for a single large GPU. MIT licence, no caps. The card gives no context length; the config allows 202,752 tokens.
Modalitytext, code
Credit cardNot required
Commercial useAllowed
Trains on your data–
Licence or termsMIT
Context window202,752 tokens
Model idzai-org/GLM-4.7-Flash
Base URL–
Last checked8 Oct 2026

How to use GLM-4.7-Flash

Download the weights and serve them yourself; the quickstart below shows one way. Licence: MIT.

Quickstart 
vllm serve zai-org/GLM-4.7-Flash  # then: curl http://localhost:8000/v1/chat/completions -H "Content-Type: application/json" -d '{"model":"zai-org/GLM-4.7-Flash","messages":[{"role":"user","content":"Hello"}]}'
Paste into Claude Code 
I want to run the open-weight model "GLM-4.7-Flash" (zai-org/GLM-4.7-Flash) for my project.
Please:
1. Check the model card and tell me the hardware it needs and the simplest way to serve it (vLLM, SGLang, Ollama or a hosted endpoint).
2. Give me a minimal working setup and a test request.
3. Tell me the licence terms for commercial use.
4. If a cheaper or smaller variant would do the job, mention it.
Provider docs Get the weightsCompare all 507 free options

Before you ship on it

  • Text-only, and the card does not state a context length (the 202,752 figure comes from config.json).
  • MIT (licence tag on the HF repo): use, modify and sell freely; keep the copyright notice.
  • Free to run means you pay for the GPUs, the serving stack and the on-call.

Questions

Is GLM-4.7-Flash free?

Yes. Open weights offers it as open weights, with these limits: Self-host free · MIT. No credit card is needed.

Can I use GLM-4.7-Flash commercially?

Yes, under MIT. Check the current terms before you ship.

How do I start with GLM-4.7-Flash?

Download the weights and serve them yourself; the quickstart below shows one way. Licence: MIT.

Source: huggingface.co/zai-org/GLM-4.7-Flash, checked 8 Oct 2026.