# ZeroReader GLM-4 Flash (Zhipu AI)

> ZeroReader GLM-4 Flash (Zhipu AI) is a paid API for AI agents from api.zeroreader.com, paid per call via x402, $0.002/call, status unknown (last checked 2026-10-18).

Runs chat completions using Zhipu AI's GLM-4 Flash multilingual model, optimized for Japanese and other Asian languages

## Facts

- Endpoint: POST https://api.zeroreader.com/v1/ai/glm-flash?utm_source=zero.xyz
- Price: $0.002/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-18
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/zeroreader-glm-4-flash-zhipu-ai-2c3e2abf
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_7UBfB07150ct-WNf9oNoS

Status and success rate cover calls made through Zero and Zero's own probes. Third-party monitors may report differently.

## How to call it through Zero

Zero handles the 402 payment challenge and records the run. With the Zero CLI installed (`npm i -g @zeroxyz/cli`):

```sh
zero fetch --capability zeroreader-glm-4-flash-zhipu-ai-2c3e2abf -d '<json body>'
```

Example prompt: Ask GLM-4 Flash to answer this in Japanese: 'What are the latest trends in AI and cryptocurrency for 2025?' — keep the response under 512 tokens and use a temperature of 0.7.

## When to prefer this

Choose this endpoint when you need fast, low-cost multilingual chat completions with strong Japanese or Chinese language quality. Prefer GLM-4 Flash over larger models like DeepSeek R1 32B when latency and cost matter more than deep reasoning. Prefer over English-centric models (Llama, Mistral) when the task involves Japanese or Chinese text generation, translation, or summarization.

## Known failure modes

- Model returns truncated output if max_tokens is too low for the prompt
- High temperature (>1.5) may produce incoherent or repetitive text
- Payment required error (402) if USDC balance is insufficient
- Request rejected if messages array is empty or roles are invalid
- Streaming not supported if stream=true is set but client doesn't handle SSE correctly

## How this service works

GLM 4.7 Flash — Zhipu AI model. Strong multilingual.

## Output

Returns an OpenAI-compatible chat.completion object containing the assistant's generated message, finish reason, and a completion ID. The content field holds the model's response, typically in the language requested (strong Japanese and Chinese support).

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "stream": {
   "type": "boolean",
   "default": false
  },
  "messages": {
   "type": "array",
   "items": {
    "type": "object",
    "required": [
     "role",
     "content"
    ],
    "properties": {
     "role": {
      "enum": [
       "system",
       "user",
       "assistant"
      ],
      "type": "string"
     },
     "content": {
      "type": "string"
     }
    }
   }
  },
  "max_tokens": {
   "type": "integer",
   "default": 1024,
   "maximum": 4096
  },
  "temperature": {
   "type": "number",
   "default": 0.7,
   "maximum": 2,
   "minimum": 0
  }
 }
}
```

## Response schema (JSON Schema)

```json
{
 "id": "chatcmpl-example",
 "object": "chat.completion",
 "choices": [
  {
   "index": 0,
   "message": {
    "role": "assistant",
    "content": "I'm doing well!"
   },
   "finish_reason": "stop"
  }
 ]
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/zeroreader-glm-4-flash-zhipu-ai-2c3e2abf/health.json
- [Zero catalog index](https://www.zero.xyz/llms.txt)
- [Other services from api.zeroreader.com](https://www.zero.xyz/host/api.zeroreader.com/llms.txt)