GPT-6 Astra

LiveOpenAI
Model IDgpt-6-astra

GPT-6 Astra by OpenAI: 1.05M context, 128K max output, with Vision, Function Calling, Reasoning, Prompt Caching, Response Schema, Streaming, Web Search. Via WandAPI, Input (prompt) costs 3 Credits / M tokens, 95% below list price. 7-day uptime 83.3%. Compatible with OpenAI Responses: swap the base URL and you are connected.

Context window
1.05Mtokens
1,050,000
Max output
128Ktokens
128,000
7-day uptime
83.3%
12 probes · 2 failed
Measured throughput
—
Real traffic, last 7 days · output side

Capabilities

Listed exactly as the catalog flags them, including what this model does not support.

7 of 15 supported

Vision

Natively multimodal: captioning, classification, visual Q&A, chart and screenshot understanding. Images are converted to tokens at the input rate.

Function Calling

Connect the model to external tools and APIs: it decides when to call which function and with what arguments, your code runs it. Force or forbid calls with tool_choice.

Reasoning

The model thinks before answering, which markedly improves multi-step planning and reasoning for coding, math and data analysis. Thinking tokens bill at the output rate.

Prompt Caching

Repeated prefixes (system prompts, long documents) hit the cache: reads cost far less than input, writes are priced by retention time.

Response Schema

Constrain output to a JSON Schema you provide for predictable, type-safe results without parsing free text.

Streaming

Tokens arrive over SSE as they are generated; the first frame is forwarded immediately with no buffering. Claude Code, Codex and similar tools depend on this.

Web Search

Vendor-hosted live web retrieval; the model decides when to search and cites sources.

AudioNot supported

Audio input or speech output.

VideoNot supported

Video input understanding or video generation.

File InputNot supported

Upload PDFs and other documents directly; the model reads the whole document with native vision.

RealtimeNot supported

Bidirectional low-latency voice / text sessions over WebSocket.

SessionNot supported

Server-side multi-turn context (e.g. previous_response_id in Responses) so you need not resend history.

MediaNot supported

Image / video / music generation endpoints.

Multipart FormNot supported

multipart/form-data file-upload requests.

Binary ResponseNot supported

Endpoints that return raw audio / image bytes.

Reliability & performance

WandAPI probes this model through the real supply chain on a schedule — measured, not self-reported.

Last probe: 10/21/2026, 2:37:24 AM
83.3%12 probes in 7 days, 2 failed · automatic failover to backup channels
4.29 s1.77 s✕ 10/21/2026, 1:47:47 AM✕ 10/21/2026, 1:53:17 AM3.21 s1.75 s1.55 s1.82 s1.70 s1.86 s1.62 s1.90 s
10/21/2026, 1:37:16 AMnow
successful probe, bar height = end-to-end latency (0–4 s)failed probegrid 1 s

Latency & throughput

Latest latency1.90s
Avg. of last 122.14s
P95 of last 124.29s
Output throughput—
ProtocolsOpenAI Responses

Protocols & code samples

Change the base URL to WandAPI, keep everything else. Native protocols pass straight through; “adapted” ones are translated by the gateway.

Codex setup guide

Projects already on the OpenAI SDK need no code changes: point base_url at https://api.wandapi.com/v1 — streaming, tool calls and usage are all mapped.

curl https://api.wandapi.com/v1/responses \
  -H "Authorization: Bearer $WANDAPI_KEY" \
  -H "content-type: application/json" \
  -d '{
    "model": "gpt-6-astra",
    "input": "Explain prompt caching in one sentence",
    "max_output_tokens": 1024
  }'

Full price list

List price → WandAPI price per channel, every pricing dimension, nothing hidden.

1 Credit ≈ $0.153 · rate updated daily
ItemUnitOpenAI list priceOfficial ChatGPT ×0.395% offChatGPT Stable ×0.592% off
Input (prompt)per 1M tokens$10.003 Credits5 Credits
Output (completion)per 1M tokens$50.0015 Credits25 Credits
Cache readper 1M tokens$1.000.3 Credits0.5 Credits
Cache write (general)per 1M tokens$12.503.75 Credits6.25 Credits

“Off” is computed at 1 Credit = ¥1 and today’s rate: 1 − channel multiplier × (1 Credit in the list currency).

FAQ

How much does the GPT-6 Astra API cost?

Via WandAPI, Input (prompt) costs 3 Credits / M tokens, with 1 Credit = ¥1. That is 95% below the OpenAI list price.

What are the context window and output limit of GPT-6 Astra?

Context window 1.05M tokens, up to 128K tokens per response.

Does GPT-6 Astra support function calling and structured outputs?

Function calling with tool_choice control is supported; structured outputs (JSON Schema) are supported.

How is the 83.3% uptime measured?

WandAPI sends probe requests to this model through the real supply chain on a schedule and divides successful probes by total probes over the last 7 days. When one channel fails the gateway fails over to a backup, so the figure reflects what end users actually see.

One API key for GPT-6 Astra and 30+ models

Free credits on sign-up, pay as you go, no monthly fee.

Get an API Key