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GPT-6 Astra (Fast)

gpt-6-astra-fast

OpenAItext2026-09-04

GPT-6 Astra (Fast) is a text model from OpenAI. The snapshot records a release date of 2026-09-04. Context window: 1.05M tokens. Maximum output: 128K tokens. Input: text, images, PDF. Output: text. Capabilities recorded: reasoning, tool calls.

Directory snapshot 2026-10-26 · Chinese dossier: 完整中文页

Context1.05M
Max output128K
Inputtext, images, PDF
Outputtext
Official input—
Official output—
Capabilitiesreasoning, tool calls
Release2026-09-04

Official list price

CNY / 1M TOKENS

The snapshot does not record an official list price for this model. We do not estimate one. Ask the provider or read the relay's own pricing page before budgeting.

Relay coverage

2 SITES

2 sites in our public directory listed this model ID in the 2026-10-26 snapshot. Listed relay price range: ¥2.28–¥8 per 1M input tokens. A listing means the model appeared on the site's public model list; it is not proof that the site serves the genuine model.

SiteDomainRelay price / 1MVerification
OmniaKeyomniakey.com¥2.28enterprise
合聚APIhejuapi.com¥8enterprise

How to verify this model on a relay

THREE STEPS
  1. Send a short request to the relay and read the model field in the response. It must match the ID you sent; a different ID is a mapping, not necessarily a substitution.
  2. Run the same prompt against a known-good endpoint and compare prompt-token counts. A large, repeatable gap points at a different tokenizer or a different backend.
  3. Run the seven checks. Billing, context retention, error shape, parameter compliance, tools, and streaming each produce evidence you can quote.

Same publisher

OpenAI

Questions

FAQ

What is the context window of GPT-6 Astra (Fast)?

The snapshot records 1,050,000 tokens.

How much does GPT-6 Astra (Fast) cost?

The snapshot records no official price. 2 relay sites listed the model, but relay prices are not official prices.

Is a relay really serving GPT-6 Astra (Fast)?

A model ID in a response is not proof. The seven-check detection compares tokenizer ratios, billing, error shape, parameter compliance, tools, and streaming against the advertised family. Run it on a key you can afford to spend, and treat one run as a spot check, not 24/7 monitoring.

Specifications and prices come from the 2026-10-26 public directory snapshot. We do not publish IQ scores or structured-output claims for models where we have no reliable data.