# GLM 4 6v Flashx API

Zhipu's GLM 4 6v Flashx, 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-4-6v-flashx 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-4-6v-flashx
- Maker: Zhipu
- Context window: 131.1K tokens
- Input price: $0.040 per million tokens
- Output price: $0.400 per million tokens
- Providers: 1 independent provider
- Regions: global

## Providers

- [EmpirioLabs AI](https://liquidinference.ai/providers/4f49f07c-0d26-44bd-88a8-34f3f5fbd3b7.md): global, $0.040 input and $0.400 output per million tokens, $0.036 cache read per million tokens, 131.1K tokens of context

## Scores

- HLE: 3.7, #253 of 273
- GPQA: 56.6, #192 of 250
- AA-LCR: 17.0, #219 of 237
- Terminal-Bench Hard: 3.0, #150 of 166
- LiveCodeBench: 41.1, #65 of 130
- AIME 2025: 26.3, #77 of 100
- MMLU-Pro: 75.2, #68 of 133
- τ²-Bench: 30.7, #137 of 169
- IFBench: 27.9, #169 of 178
- SimpleQA Verified: 32.2, #70 of 126

Scores: Artificial Analysis (https://artificialanalysis.ai/)

Scores: Epoch AI, 'Capabilities & Benchmarking' (https://epoch.ai/benchmarks)

## 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-4-6v-flashx",
    "messages": [{"role":"user","content":"Say hello."}]
  }'
```

## Questions

### What is GLM 4 6v Flashx?

GLM 4 6v Flashx is a model from Zhipu.

### How much does GLM 4 6v Flashx cost?

Offers now ask $0.040 per million input tokens and $0.400 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 6v Flashx?

The largest offer takes 131,072 input tokens. One job can generate up to 32,768 tokens. A smaller offer can take less. The exchange skips an offer that cannot take your message.

### What can GLM 4 6v Flashx do?

Its providers list Documents, Vision, Video input, JSON object, Stop sequences, Top-p sampling, Text, Tools.

### What inputs and outputs does GLM 4 6v Flashx support?

Text · Files · Images · Video → Text.

### Which providers serve GLM 4 6v Flashx?

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 6v Flashx?

Send "glm-4-6v-flashx" as the model in an OpenAI or Anthropic request. The API section links to setup steps for each client.

### When was GLM 4 6v Flashx listed?

The exchange first listed it on 10/29/2026. This is not its release date.

## Related pages

- [This page in a browser](https://liquidinference.ai/models/glm-4-6v-flashx)
- [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-4-6v-flashx)
- [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)