Title: GLM-4.7-Flash %E2%80%94 glm-4-7-flash
Canonical: https://llmeu.com/pt/models/glm-4-7-flash/
Markdown mirror: https://llmeu.com/pt/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)](/pt/providers/zai-org/)

%C3%9Altima revis%C3%A3o: 14/10/2026

## Soberania e alojamento

Este modelo est%C3%A1 catalogado para refer%C3%AAncia. Ainda n%C3%A3o est%C3%A1 alojado na LLM EU, e nenhum endpoint pr%C3%B3prio o serve aqui. Os pedidos s%C3%A3o encaminhados diretamente para o fornecedor, sob os termos desse fornecedor.

## Resumo

GLM-4.7-Flash %C3%A9 um modelo mixture-of-experts de 30B-A3B com 31.2B par%C3%A2metros, lan%C3%A7ado sob a licen%C3%A7a MIT com um m%C3%A1ximo de configura%C3%A7%C3%A3o de 202.752 tokens. O cart%C3%A3o do modelo reporta 91.6 no AIME 25 e 59.2 no SWE-bench Verified, com uma tabela de compara%C3%A7%C3%A3o contra Qwen3-30B-A3B-Thinking e gpt-oss-20b. %C3%89 posicionado como uma op%C3%A7%C3%A3o de implementa%C3%A7%C3%A3o leve na classe 30B.

## Especifica%C3%A7%C3%B5es

- Fornecedor
  Z.ai (Zhipu AI) (CN)
- Janela de contexto
  203k
- Par%C3%A2metros
  31.22B
- Modalidades
  text
- Licen%C3%A7a
  mit %C2%B7 [licence](https://opensource.org/license/mit)
- Pesos abertos
  yes
- Data de lan%C3%A7amento
  19/01/2026
- Tarefas
  [Racioc%C3%ADnio](/pt/tasks/reasoning/), [Codifica%C3%A7%C3%A3o](/pt/tasks/coding/), [Baixo custo](/pt/tasks/cheap/), [Sumariza%C3%A7%C3%A3o](/pt/tasks/summarization/)

## Idiomas

**Forte:** en, zh

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

#### Forte

- en
- zh

#### Adequado

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

N%C3%A3o verificado: o fornecedor n%C3%A3o documentou esta afirma%C3%A7%C3%A3o. %E2%80%94 a language is listed as strong only where a source claims it; the card links the evidence where one exists.

## Quando usar

#### Pontos fortes

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

#### Limita%C3%A7%C3%B5es

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

## Perguntas frequentes

### 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).

### Pre%C3%A7os

Este modelo est%C3%A1 catalogado para refer%C3%AAncia. Ainda n%C3%A3o est%C3%A1 alojado na LLM EU, e nenhum endpoint pr%C3%B3prio o serve aqui. Os pedidos s%C3%A3o encaminhados diretamente para o fornecedor, sob os termos desse fornecedor.

### Estado de verifica%C3%A7%C3%A3o

Quando um campo n%C3%A3o tem fonte, o cart%C3%A3o mostra-o como n%C3%A3o verificado em vez de o preencher. Um campo vazio %C3%A9 informa%C3%A7%C3%A3o.

LLM EU Verified significa documentado, n%C3%A3o certificado legalmente. N%C3%A3o %C3%A9 uma avalia%C3%A7%C3%A3o de conformidade com o AI Act e a LLM EU n%C3%A3o %C3%A9 um organismo da UE.

### Vers%C3%B5es e variantes

- catalogue %C2%B7 Apenas cat%C3%A1logo %C2%B7 [weights](https://huggingface.co/zai-org/GLM-4.7-Flash)

### Exemplo de pedido

```
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"}]}'
```

N%C3%A3o h%C3%A1 playground implementado para este modelo: nenhum endpoint o serve, por isso um pedido n%C3%A3o teria para onde ir.

### 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)

### Fontes

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

### Hist%C3%B3rico de altera%C3%A7%C3%B5es do cart%C3%A3o

- 19/01/2026 %E2%80%94 Data de lan%C3%A7amento
- 14/10/2026 %E2%80%94 %C3%9Altima revis%C3%A3o

%C3%9Altima revis%C3%A3o: 14/10/2026

### Tarefas

- [Codifica%C3%A7%C3%A3o](/pt/tasks/coding/)
- [Baixo custo](/pt/tasks/cheap/)
- [Sumariza%C3%A7%C3%A3o](/pt/tasks/summarization/)