GLM Responses

Call GLM 5.3, 5.3 Flash and 5.3 FlashX through the OpenAI Responses API with a BeatAPI key.

• One endpoint, POST /v1/responses, for every current GLM model. Change model to switch.
• Streaming, a 1,000,000-token context and up to 128,000 output tokens on all three models.
• Flat per-token prices across the whole context window: no long-context tier and no peak-hour multiplier. Cached input is billed at a lower rate.
• Works with the OpenAI SDK: change the base URL and use a BeatAPI key. For an existing Chat Completions integration, see Chat Completions.
• Conversation state is not stored on the server: send the whole history in input on every turn.

Opens this endpoint in the API Explorer. Enter your BeatAPI API key and send: the call is real and is billed to your own balance.

Models

Send one of these IDs as model. Each is a separate model; do not treat them as aliases of each other.

• Prices are the base tier, discount already applied. A long-context tier, cached-input rates and cache writes are not in this table; see the price table.
• — means the catalogue does not publish the number.

Quick start

Install the openai package on your server, keep the key in BEATAPI_API_KEY, and never put it in browser code. output_text is the SDK’s shortcut for the answer text. These are request examples, not recorded model outputs.

Read the answer from output_text (or from the output_text parts of output), then check status and usage. An HTTP 200 alone does not prove the answer satisfies your task: validate it in your application. Text requests return directly; do not poll /v1/tasks for them.

curl --request POST \
  --url https://direct.beatapi.io/v1/responses \
  --header "Authorization: Bearer $BEATAPI_API_KEY" \
  --header 'Content-Type: application/json' \
  --data '{
  "model": "glm-5.3",
  "max_output_tokens": 2000,
  "input": "Design a resilient webhook retry strategy for a payments API."
}'

Endpoint and authentication

POST https://direct.beatapi.io/v1/responses

Request parameters

Standard OpenAI Responses fields are accepted. Request-format compatibility does not mean every model-specific option or hosted tool is supported, so test the options you rely on.

Response

A non-streaming call returns one JSON object. This is an abbreviated example.

{
  "id": "resp_example",
  "object": "response",
  "model": "glm-5.3",
  "status": "completed",
  "output": [
    {
      "type": "message",
      "role": "assistant",
      "content": [
        {
          "type": "output_text",
          "text": "Retry with exponential backoff and jitter, and make every handler idempotent."
        }
      ]
    }
  ],
  "usage": {
    "input_tokens": 19,
    "output_tokens": 16,
    "total_tokens": 35
  }
}

Response fields

Streaming

Set "stream": true. The stream starts with response.created, carries the answer in response.output_text.delta events and ends with response.completed.

• The response is text/event-stream; without streaming it is application/json.
• A function call arrives as its own output item, and its arguments stream in response.function_call_arguments.delta events.
• A failure before the model is called is returned as a normal JSON error with an HTTP status, not as a stream event.
• Set explicit timeouts and reconnect a streamed response safely.

event: response.created
data: {"type":"response.created","response":{"id":"resp_example","status":"in_progress"}}
event: response.output_text.delta
data: {"type":"response.output_text.delta","delta":"Retry"}
event: response.output_text.delta
data: {"type":"response.output_text.delta","delta":" with backoff"}
event: response.completed
data: {"type":"response.completed","response":{"id":"resp_example","status":"completed"}}

Errors

HTTP errors at a glance

Authentication, routing, rate-limit and unknown-model failures are answered before the model is called, in the BeatAPI envelope: error.code, error.message, retryable, request_id. Every other failure keeps the OpenAI SDK shape {"error": {"message", "type", "code"}}: the code is in error.code and the request id ends message. See Errors.

Full code table and retry policy: Errors.

Notes

• GLM models also answer on Chat Completions and Anthropic Messages.
• GLM models have been observed to return reasoning by default. Reasoning tokens are billed as output, so budget max_output_tokens for the reasoning as well as the answer.
• glm-5.3-flashx is not available on free credit: an account that has never topped up gets 403 forbidden. Top up to use it.
• The free versions, glm-5.3-free and glm-5.3-flash-free, do not answer on /v1/responses. Call them on Chat Completions.
• Keep API keys on trusted servers, log the response request ID, and retry only 429, 500 and 503.