# GLM 4.7 Original API

Zhipu's GLM 4.7 Original, through an OpenAI-compatible API. Providers quote it on an open exchange, and each request goes to the offer with the lowest estimated charge that meets your rules.

- Providers compete for each request. The exchange ranks the offers that meet your rules by estimated charge. It fixes your maximum charge before the first token, and you pay for the tokens that the model uses.
- The OpenAI and Anthropic APIs. Use the OpenAI or Anthropic SDK that you have. Set the base URL and your key, and send glm-4.7-original as the model.
- Your data rules. Send x-liquid-retention: none and only offers whose provider does not keep your content compete for the request.

## Facts

- Model name: glm-4.7-original
- Maker: Zhipu
- Context window: 200K tokens
- Input price: $0.401 per million tokens
- Output price: $1.933 per million tokens
- Providers: 1 independent provider
- Regions: us

## Providers

- [Architect](https://liquidinference.ai/providers/805445a7-0e40-4c1b-9baf-7b3b01e30e42.md): us, $0.401 input and $1.933 output per million tokens, $0.080 cache read per million tokens, 200K tokens of context

## Request

```sh
curl https://router.inference.ai.exchange/v1/chat/completions \
  -H "Authorization: Bearer $LIQUID_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "glm-4.7-original",
    "messages": [{"role":"user","content":"Say hello."}]
  }'
```

## Questions

### What is GLM 4.7 Original?

GLM 4.7 Original is a model from Zhipu.

### How much does GLM 4.7 Original cost?

Offers now ask $0.401 per million input tokens and $1.933 per million output tokens. A job pays for the tokens it uses. The exchange picks the cheapest eligible offer.

### What is the context length of GLM 4.7 Original?

The largest offer takes 200,000 input tokens. A smaller offer can take less. The exchange skips an offer that cannot take your message.

### What can GLM 4.7 Original do?

Its providers list Reasoning effort, JSON object, JSON schema, Frequency penalty, Logit bias, Log probabilities, Min-p sampling, Presence penalty, Repetition penalty, Seed, Stop sequences, Top-k sampling, Top-p sampling, Text, Tools.

### What inputs and outputs does GLM 4.7 Original support?

Text → Text.

### Which providers serve GLM 4.7 Original?

1 independent provider quote it now, with 1 offer. The table above ranks them by the cost of a typical job.

### How do I call GLM 4.7 Original?

Send "glm-4.7-original" as the model in an OpenAI or Anthropic request. The API section links to setup steps for each client.

### When was GLM 4.7 Original listed?

The exchange first listed it on 10/10/2026. This is not its release date.

## Related pages

- [This page in a browser](https://liquidinference.ai/models/glm-4.7-original)
- [GLM 5.2](https://liquidinference.ai/models/glm-5.2.md)
- [GLM 5.3](https://liquidinference.ai/models/glm-5.3.md)
- [GLM 5.3 Flash](https://liquidinference.ai/models/glm-5.3-flash.md)
- [Autoglm: Phone 9B Multilingual](https://liquidinference.ai/models/autoglm-phone-9b-multilingual.md)
- [GLM 5.3 Flash Uncensored](https://liquidinference.ai/models/glm-5.3-flash-uncensored.md)
- [GLM 4.7 Flash:thinking](https://liquidinference.ai/models/glm-4.7-flash%3Athinking.md)
- [Set up a client](https://liquidinference.ai/connect/glm-4.7-original)
- [All models](https://liquidinference.ai/models)
- [Providers](https://liquidinference.ai/providers.md)
- [Discover the best model for your budget](https://liquidinference.ai/discover)
- [Quickstart](https://liquidinference.ai/docs/quickstart.md)
- [llms.txt: the index of every page, as Markdown](https://liquidinference.ai/llms.txt)
- [llms-full.txt: every page in one file](https://liquidinference.ai/llms-full.txt)