Title: GLM-4.7-Flash %E2%80%94 glm-4-7-flash
Canonical: https://llmeu.com/en/models/glm-4-7-flash/
Markdown mirror: https://llmeu.com/en/models/glm-4-7-flash.md
Machine-readable: https://llmeu.com/llms.txt (index) - https://llmeu.com/llms-full.txt (full catalogue) - https://llmeu.com/llms-catalogue.json
Provider: Z.ai (Zhipu AI)
Licence: mit
Hosting: catalogue only %E2%80%94 not hosted on LLM EU yet
Sources: https://huggingface.co/zai-org/GLM-4.7-Flash https://z.ai/blog/glm-4.7

# GLM-4.7-Flash

[Z.ai (Zhipu AI)](/en/providers/zai-org/)

Last reviewed: 14 Oct 2026

## Sovereignty and hosting

This model is catalogued for reference. It is not hosted on LLM EU yet, and no first-party endpoint serves it here. Requests to it go to the provider directly, under that provider's own terms.

## Summary

GLM-4.7-Flash is a 30B-A3B mixture-of-experts model with 31.2B parameters, released under the MIT licence with a configuration maximum of 202,752 tokens. The model card reports 91.6 on AIME 25 and 59.2 on SWE-bench Verified, with a comparison table against Qwen3-30B-A3B-Thinking and gpt-oss-20b. It is positioned as a lightweight deployment option in the 30B class.

## Specifications

- Provider
  Z.ai (Zhipu AI) (CN)
- Context window
  203k
- Parameters
  31.22B
- Modalities
  text
- License
  mit %C2%B7 [licence](https://opensource.org/license/mit)
- Open weights
  yes
- Release date
  19 Jan 2026
- Tasks
  [Reasoning](/en/tasks/reasoning/), [Coding](/en/tasks/coding/), [Low cost](/en/tasks/cheap/), [Summarisation](/en/tasks/summarization/)

## Languages

**Strong:** en, zh

**Adequate:** de, fr, es, it, pt, ru, ja, ko

#### Strong

- en
- zh

#### Adequate

- de
- fr
- es
- it
- pt
- ru
- ja
- ko

Not verified: the provider has not documented this claim. %E2%80%94 a language is listed as strong only where a source claims it; the card links the evidence where one exists.

## When to use it

#### Strengths

- MIT licence with a permissive commercial position
- high published maths score for a 30B-class model
- roughly 200K-token context window

#### Limits

- benchmark table is self-reported by the vendor
- English and Chinese are the only declared languages
- no evaluation has been run by LLM EU

## Frequently asked questions

### Is GLM-4.7-Flash served on LLM EU?

It has no endpoint in the catalogue, so it is catalogue only %E2%80%94 not hosted on LLM EU yet, with no region and no retention to report. A card whose status is "listed" is a catalogue entry, not a running deployment.

### Under what licence is GLM-4.7-Flash released?

GLM-4.7-Flash is recorded under mit. The recorded licence text is https://opensource.org/license/mit. The weights are downloadable (open_weights is true). LLM EU republishes the licence id and the link and gives no legal advice; the licence text governs.

### How large is GLM-4.7-Flash, and what context window does it have?

GLM-4.7-Flash is recorded at 31.2B (safetensors total 31,221,488,576); a 30B-A3B mixture of experts (source: https://huggingface.co/api/models/zai-org/GLM-4.7-Flash), with a context window of 202752 tokens (source: https://huggingface.co/zai-org/GLM-4.7-Flash/blob/main/config.json).

### Pricing

This model is catalogued for reference. It is not hosted on LLM EU yet, and no first-party endpoint serves it here. Requests to it go to the provider directly, under that provider's own terms.

### Verification status

Where a field has no source, the card shows it as unverified instead of filling it in. An empty field is information.

LLM EU Verified means documented, not legally certified. It is not an AI Act conformity assessment and LLM EU is not an EU body.

### Versions and variants

- catalogue %C2%B7 Catalogue only %C2%B7 [weights](https://huggingface.co/zai-org/GLM-4.7-Flash)

### Example request

```
curl https://api.llmeu.com/v1/chat/completions \
  -H "Authorization: Bearer $LLMEU_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model":"glm-4-7-flash","messages":[{"role":"user","content":"Hello"}]}'
```

No playground is deployed for this model: no endpoint serves it, so a request would have nowhere to go.

### Benchmarks

- AIME 25: **91.6 (vendor-reported)** [source](https://huggingface.co/zai-org/GLM-4.7-Flash)
- GPQA: **75.2 (vendor-reported)** [source](https://huggingface.co/zai-org/GLM-4.7-Flash)
- SWE-bench Verified: **59.2 (vendor-reported)** [source](https://huggingface.co/zai-org/GLM-4.7-Flash)
- LiveCodeBench v6: **64.0 (vendor-reported)** [source](https://huggingface.co/zai-org/GLM-4.7-Flash)
- %CF%84%C2%B2-Bench: **79.5 (vendor-reported)** [source](https://huggingface.co/zai-org/GLM-4.7-Flash)

### Sources

- [huggingface.co](https://huggingface.co/zai-org/GLM-4.7-Flash)
- [z.ai](https://z.ai/blog/glm-4.7)

### Card changelog

- 19 Jan 2026 %E2%80%94 Release date
- 14 Oct 2026 %E2%80%94 Last reviewed

Last reviewed: 14 Oct 2026

### Tasks

- [Coding](/en/tasks/coding/)
- [Low cost](/en/tasks/cheap/)
- [Summarisation](/en/tasks/summarization/)