ChatOpenAIFeatured1 vendors

gpt-6-astra

GPT88 featured GPT-6 Astra route for complex reasoning, coding agents, and high-value production workflows.

Overview

GPT-6 Astra is now the first model in the GPT88 featured lineup. The current public model square lists it in the “PRO” GPT-Codex-PRO group with an OpenAI platform label; this describes the current route grouping, not a capability guarantee.
Its featured positioning is best evaluated on complex reasoning, code understanding and generation, technical research, structured output, and multi-step agent tasks. Pay particular attention to goal retention, tool selection, result checking, and recovery across long workflows.
The model 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.
As of September 5, 2026, the public GPT88 model square returns a gpt-6-astra entry, but no independently verifiable official benchmark scores are published in this documentation. This page therefore provides a capability hypothesis and reproducible evaluation plan instead of invented scores.

Capability Analysis & Evaluation

The current GPT88 public model square lists gpt-6-astra in the “PRO” GPT-Codex-PRO group. No independently verifiable official benchmark score is published on this page, so the evaluation status below is intentionally marked as pending rather than filled with inferred numbers.

Dimension	What to inspect	Current status
Reasoning	Complex planning, constraint following, and multi-step consistency	Pending workload evaluation
Coding	Repository understanding, implementation, debugging, and review quality	Pending workload evaluation
Tool use	Tool selection, argument correctness, result inspection, and recovery	Pending workload evaluation
Structured output	JSON/schema adherence, field completeness, and refusal behavior	Pending workload evaluation
Long context	Retrieval precision, instruction retention, and context efficiency	Pending workload evaluation
Reliability / cost	Latency, error rate, retries, token use, and accepted-change cost	Measure in your own account

Recommended evaluation protocol

Call GET /v1/models with the target API key and confirm that gpt-6-astra is actually available.
Prepare 20–50 representative tasks with fixed prompts, tools, permissions, and acceptance criteria.
Run the same set against gpt-6-astra and a validated fallback such as gpt-5.6-sol or grok-4.6.
Record pass rate, first-pass success, tool-call errors, latency, retries, token usage, and human rework.
Start with shadow or low-risk traffic; promote it to a default only after quality and cost are acceptable.

Best Use Cases

Handle complex requirements, technical plans, codebases, and multi-turn reasoning
Run agents that call tools, inspect results, and progress through multiple stages
Produce high-quality structured output, code reviews, or research analysis
Compare it against grok-4.6, gpt-5.6-sol, and gpt-5.6-terra on a fixed workload
Use it for high-value work where access and stability can be validated first

Integration Notes

Use the GPT88 OpenAI-compatible base URL and set model to gpt-6-astra after confirming the exact model ID in the console.
Call GET /v1/models before sending production traffic, then start with a minimal non-streaming request.
Enable plain text, structured output, streaming, tools, and long context progressively, recording success rates and error types at each step.
For agent tasks, keep the tool schema, permissions, initial context, and acceptance criteria fixed; do not conflate model quality with harness or tool permissions.

Usage Notes

The current public model square returns gpt-6-astra, but access, group, quota, pricing, limits, and routes may differ by API key.
No independently verifiable official benchmark scores are published in this documentation. Capability labels describe positioning and an evaluation design, not universal performance guarantees.
Keep a validated fallback route until the model passes your own quality, latency, cost, and reliability checks.
High-risk code, database, payment, permission, and production actions still require independent review, deterministic tests, and human authorization.

Capabilities

GPT-6 AstraComplex reasoningCode and tool useStructured outputLong-running agents

Recommended Scenarios

Complex coding
Research and analysis
Multi-step agents
High-value production tasks
Technical design and review

Endpoint Path

POSThttps://api.gpt88.cc/v1/chat/completions

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

Endpoint

POST /v1/chat/completions

Model ID

gpt-6-astra

Content-Type

application/json

Protocol

OpenAI-compatible chat completions endpoint with streaming and non-streaming output.

Base URL

Use https://api.gpt88.cc for OpenAI SDK, Cursor, and cURL.

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`

AuthorizationstringRequired
Send Bearer <GPT88_API_KEY>. Create the API key in the gpt88.cc console.
Content-TypestringRequired
Request body format. Audio transcription uploads use multipart/form-data.
Default:application/json
Acceptstring
Non-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.

OpenAI CompatibleRecommended

Base URL: https://api.gpt88.cc
Endpoint: POST /v1/chat/completions
Body: { "model": "gpt-6-astra", "messages": [...] }

Anthropic / Claude

Base URL: https://api.gpt88.cc
Endpoint: POST /v1/messages
Body: { "model": "gpt-6-astra", "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-astra`. 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.

modelstringRequired
Current model ID: gpt-6-astra. Preserve the exact casing when copying.
messagesarray<Message>Required
Conversation history. Each message includes role and content.
streamboolean
Enable SSE streaming. Useful for chat interfaces and long responses.
Default:false
temperaturenumber
Sampling temperature. Higher values produce more variation; production workloads usually start with a fixed value.
Default:1
max_tokensinteger
Maximum output tokens for this request. Real context limits should be confirmed in the console.
response_formatobject
Structured 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.

idstringRequired
Unique completion ID for tracing and debugging.
objectstringRequired
Usually chat.completion or a streaming chunk type.
modelstringRequired
Actual model ID that handled inference.
choicesarray<Choice>Required
Generated choices including message, delta, and finish_reason.
usageobject
Token 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-astra`.
`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.

200OKRequired
Request succeeded. See the response field table above for the response body shape.
400Bad Request
Invalid request fields, such as missing required fields, unsupported image size format, or unsupported file type.
401Unauthorized
API key is missing, invalid, or malformed.
404Not Found
Endpoint or model not found. Confirm the path is /v1/chat/completions and the model ID is gpt-6-astra.
429Rate Limited
Rate limit, concurrency cap, or insufficient balance. Check the console for the current allowance.
5xxUpstream Error
Upstream or request failure. Retry with the same Base URL and keep the request ID for debugging.

Errors and Troubleshooting

401: verify Authorization is Bearer <API_KEY> and the key is still valid.
404: confirm the endpoint is /v1/chat/completions and the model ID gpt-6-astra is 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-astra",
    "messages": [
      {"role": "user", "content": "Introduce gpt88.cc in one sentence."}
    ]
  }'

Expected response (trimmed example):

200 OKjson

{
  "id": "chatcmpl-gpt-6-as",
  "object": "chat.completion",
  "created": 1730000000,
  "model": "gpt-6-astra",
  "choices": [
    {
      "index": 0,
      "finish_reason": "stop",
      "message": { "role": "assistant", "content": "..." }
    }
  ],
  "usage": { "prompt_tokens": 24, "completion_tokens": 64, "total_tokens": 88 }
}