gpt-6-luna
New GPT88 featured GPT-6 Luna route for frequent, focused, and cost-sensitive model calls.
Overview
- GPT-6 Luna is the lightweight-work route in OpenAI’s latest GPT-6 family, intended for bounded tasks where latency and cost control matter.
- It is a practical candidate for everyday chat, classification, extraction, content processing, and bounded agent steps. Compare GPT-6 Astra or GPT-6 Sol for deeper reasoning and long-running execution.
- This page does not hardcode dynamic context, limits, tools, vision support, or pricing. Confirm the current API key access with GET /v1/models and the GPT88 console.
Best Use Cases
- Use it for frequent, latency-sensitive chat or support requests
- Run bounded classification, extraction, rewriting, routing, and summarization tasks
- Assign lightweight coding assistance or preprocessing to it as an agent step
- Balance quality, latency, and cost on a representative production workload
- Compare it with gpt-6-astra, gpt-6-sol, or your current default model on a fixed workload
Integration Notes
- Use the GPT88 OpenAI-compatible base URL and set model to gpt-6-luna.
- Call GET /v1/models to confirm that the current API key can access gpt-6-luna before sending a minimal non-streaming request.
- Validate non-streaming and streaming first, then enable structured output, tools, and batch workloads as needed.
- Record first-token latency, end-to-end latency, success rate, retries, and actual usage instead of inferring speed or cost from the model name.
Usage Notes
- gpt-6-luna is a newly launched model and the current local backend catalog has not synced it yet. Access, groups, quota, pricing, limits, and routes are determined by the GPT88 console and API key.
- A lightweight positioning does not guarantee lower latency or cost for every prompt, concurrency level, or route. Test representative workloads.
- New-model behavior and parameter support can change after launch. Start with a staged rollout before changing all production traffic.
- Payment, permissions, production writes, and other high-risk actions still require independent checks, isolation, and human authorization.
Capabilities
Recommended Scenarios
- High-frequency chat
- Classification and extraction
- Lightweight coding help
- Content rewriting
- Agent subtasks
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": "gpt-6-luna", "messages": [...] }
- Base URL
- https://api.gpt88.cc
- Endpoint
- POST /v1/messages
- Body
- { "model": "gpt-6-luna", "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: gpt-6-luna. 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:gpt-6-luna. 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 gpt-6-luna. |
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 isgpt-6-luna.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 IDgpt-6-lunais 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": "gpt-6-luna",
"messages": [
{"role": "user", "content": "Introduce gpt88.cc in one sentence."}
]
}'Expected response (trimmed example):
{
"id": "chatcmpl-gpt-6-lu",
"object": "chat.completion",
"created": 1730000000,
"model": "gpt-6-luna",
"choices": [
{
"index": 0,
"finish_reason": "stop",
"message": { "role": "assistant", "content": "..." }
}
],
"usage": { "prompt_tokens": 24, "completion_tokens": 64, "total_tokens": 88 }
}