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OpenAI
openai/gpt-6-astraCatalogue: Indexed in the reference catalogue; nothing on this deployment answers as this model yet.
Published by the vendor; the platform bills at the target's declared price.
OpenAI openai/gpt-6-astra
GPT-6 Astra is OpenAI's flagship model for demanding end-to-end work. It is suited for advanced analysis, software engineering, deep research, scientific work, and document creation, with particular strengths in long-horizon...
Cached input reads $1.00 per 1M
GPT-6 Astra earns a request when it needs step-by-step reasoning, tool calls, very long inputs; a short, general request would go to GPT-6.1 Sol (batch) instead - $1.00 per million input tokens against $10.0 here; and the hardest requests, where the quality floor rules it out, to Claude Opus 5.5 (batch). Your rules decide the floor; the trace shows the comparison for every request.
Lower input price and an intelligence index within 5 points.
A higher intelligence index, best first, with the price it comes at.
Nothing on this deployment answers as this model yet. Connect your own provider under Model providers, or add a target to your catalogue - the router picks it up without retraining.
# targets.yaml - declare a target that runs GPT-6 Astra
targets:
- id: gpt-6-astra
kind: llm
name: GPT-6 Astra
metadata:
model: openai/gpt-6-astra # links the target to this catalogue entry
capabilities:
domains: [general]
supports_tools: true
context_window: 1050000
cost:
usd_per_1k_tokens: 0.030000Input list price per million tokens; GPT-6 Astra is the most expensive of 13 listed.
Other models by the same vendor in the catalogue.
Photo: RDNE Stock project