GLM-5.3-Flash
Z.ai GLM-5.3-Flash for multimodal understanding, agentic coding, and efficient inference.
Overview
- As of October 24, 2026, GLM-5.3-Flash is Z.ai’s newer public GLM-5 release, announced on August 26. It is the first natively multimodal model in the GLM-5 family. GLM-5.3 is the earlier flagship; Flash focuses on inference efficiency.
- Z.ai reports 320B total parameters, 18B active parameters, and up to 1M context. Release benchmarks and cost comparisons are vendor-reported, not a third-party controlled comparison or a guarantee for GPT88 routes.
- Official API and weight availability do not establish GPT88 availability. Check the GPT88 console and GET /v1/models for the current API key.
Best Use Cases
- Process images or screenshots together with text instructions
- Generate code or run multi-step coding agents with tools
- Evaluate the tradeoff between throughput, long context, and capability
- Compare GLM routes on verifiable coding, visual, or office workflows
Integration Notes
- The commonly documented model ID is glm-5.3-flash; confirm whether GPT88 uses this exact ID with GET /v1/models and the console.
- Start with a minimal text request via the GPT88 Base URL, then validate image input, reasoning parameters, tools, and streaming separately.
- Use fixed samples, permissions, and acceptance criteria to compare success, latency, usage, and rework against glm-5.3 or the current production model.
Usage Notes
- Newer release does not mean it replaces GLM-5.3 as the strongest flagship; Flash is an efficiency-focused variant.
- Z.ai Code Bench, Artificial Analysis Index, and cost claims use their respective test conditions and are reported by the source.
- A 1M context limit does not mean every GPT88 route enables 1M context or has the same cost, speed, and cache policy.
- GPT88 routes, price, limits, model IDs, image input, and tool support depend on the current console and API key.
Capabilities
Recommended Scenarios
- Screenshot and image understanding
- Coding agents
- Long-running tool workflows
- Frequent complex tasks
Endpoint Path
The endpoint path is determined by the model category. Chat, image, video, and audio models use different endpoints.
Send requests with Authorization: Bearer <API_KEY>. See Chat Completions API for the full parameter reference.
API Docs
Headers / Auth
| Field | Type | Required | Description |
|---|---|---|---|
Authorization | string | Required | Send Bearer <GPT88_API_KEY>. Create the API key in the gpt88.cc console. |
Content-Type | string | Required | Request body format. Audio transcription uploads use multipart/form-data.Default: application/json |
Accept | string | Optional | Non-streaming requests return JSON; streaming chat requests return SSE chunks. Default: application/json or text/event-stream |
AuthorizationstringRequiredSendBearer <GPT88_API_KEY>. Create the API key in the gpt88.cc console.Content-TypestringRequiredRequest body format. Audio transcription uploads usemultipart/form-data.Default:application/jsonAcceptstringNon-streaming requests return JSON; streaming chat requests return SSE chunks.Default:application/json or text/event-stream
Chat Protocol Differences
For chat models, the protocol used by the client matters as much as the model name. Claude Code / Anthropic SDK and OpenAI SDK build different request paths.
- Base URL
- https://api.gpt88.cc
- Endpoint
- POST /v1/chat/completions
- Body
- { "model": "glm-5.3-flash", "messages": [...] }
- Base URL
- https://api.gpt88.cc
- Endpoint
- POST /v1/messages
- Body
- { "model": "glm-5.3-flash", "messages": [...] }
This model is usually best accessed through the OpenAI-compatible protocol. Only use the Anthropic-style path when the target tool explicitly requires it.
Request Parameters
The fields below are generated by model category. Pricing, context limits, rate limits, and available routes should be confirmed in the gpt88.cc console.
| Field | Type | Required | Description |
|---|---|---|---|
model | string | Required | Current model ID: glm-5.3-flash. Preserve the exact casing when copying. |
messages | array<Message> | Required | Conversation history. Each message includes role and content. |
stream | boolean | Optional | Enable SSE streaming. Useful for chat interfaces and long responses. Default: false |
temperature | number | Optional | Sampling temperature. Higher values produce more variation; production workloads usually start with a fixed value. Default: 1 |
max_tokens | integer | Optional | Maximum output tokens for this request. Real context limits should be confirmed in the console. |
response_format | object | Optional | Structured output config, for example { "type": "json_object" }. |
tools | array<Tool> | Optional | Function-calling tool definitions. Availability depends on the model and account configuration. |
modelstringRequiredCurrent model ID:glm-5.3-flash. Preserve the exact casing when copying.messagesarray<Message>RequiredConversation history. Each message includesroleandcontent.streambooleanEnable SSE streaming. Useful for chat interfaces and long responses.Default:falsetemperaturenumberSampling temperature. Higher values produce more variation; production workloads usually start with a fixed value.Default:1max_tokensintegerMaximum output tokens for this request. Real context limits should be confirmed in the console.response_formatobjectStructured output config, for example{ "type": "json_object" }.toolsarray<Tool>Function-calling tool definitions. Availability depends on the model and account configuration.
Response Fields
Response bodies generally follow OpenAI-compatible shapes. Media models may return async task IDs or resource URLs.
| Field | Type | Required | Description |
|---|---|---|---|
id | string | Required | Unique completion ID for tracing and debugging. |
object | string | Required | Usually chat.completion or a streaming chunk type. |
model | string | Required | Actual model ID that handled inference. |
choices | array<Choice> | Required | Generated choices including message, delta, and finish_reason. |
usage | object | Optional | Token usage statistics. Streaming calls may return this only at the end or in non-streaming mode. |
idstringRequiredUnique completion ID for tracing and debugging.objectstringRequiredUsuallychat.completionor a streaming chunk type.modelstringRequiredActual model ID that handled inference.choicesarray<Choice>RequiredGenerated choices includingmessage,delta, andfinish_reason.usageobjectToken usage statistics. Streaming calls may return this only at the end or in non-streaming mode.
Status Codes
| Field | Type | Required | Description |
|---|---|---|---|
200 | OK | Required | Request succeeded. See the response field table above for the response body shape. |
400 | Bad Request | Optional | Invalid request fields, such as missing required fields, unsupported image size format, or unsupported file type. |
401 | Unauthorized | Optional | API key is missing, invalid, or malformed. |
404 | Not Found | Optional | Endpoint or model not found. Confirm the path is /v1/chat/completions and the model ID is glm-5.3-flash. |
429 | Rate Limited | Optional | Rate limit, concurrency cap, or insufficient balance. Check the console for the current allowance. |
5xx | Upstream Error | Optional | Upstream or request failure. Retry with the same Base URL and keep the request ID for debugging. |
200OKRequiredRequest succeeded. See the response field table above for the response body shape.400Bad RequestInvalid request fields, such as missing required fields, unsupported image size format, or unsupported file type.401UnauthorizedAPI key is missing, invalid, or malformed.404Not FoundEndpoint or model not found. Confirm the path is/v1/chat/completionsand the model ID isglm-5.3-flash.429Rate LimitedRate limit, concurrency cap, or insufficient balance. Check the console for the current allowance.5xxUpstream ErrorUpstream or request failure. Retry with the same Base URL and keep the request ID for debugging.
Errors and Troubleshooting
401: verifyAuthorizationisBearer <API_KEY>and the key is still valid.404: confirm the endpoint is/v1/chat/completionsand the model IDglm-5.3-flashis available in the console.429: reduce concurrency, shorten requests, or check balance and quota in the console.5xx: retry with the same Base URL and keep the request ID for debugging.
Request Examples
curl https://api.gpt88.cc/v1/chat/completions \
-H "Authorization: Bearer $GPT88_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "glm-5.3-flash",
"messages": [
{"role": "user", "content": "Introduce gpt88.cc in one sentence."}
]
}'Expected response (trimmed example):
{
"id": "chatcmpl-glm-5-3-",
"object": "chat.completion",
"created": 1730000000,
"model": "glm-5.3-flash",
"choices": [
{
"index": 0,
"finish_reason": "stop",
"message": { "role": "assistant", "content": "..." }
}
],
"usage": { "prompt_tokens": 24, "completion_tokens": 64, "total_tokens": 88 }
}