GPT-6 Astra Benchmarks Split: A Computer-Use Specialist, Not AGI
becomingengageably · reddit · 2026-09-04
A Reddit user synthesized OpenAI's launch materials, Claire Vo's early-access write-up, and Artificial Analysis's independent benchmarks, arguing GPT-6 Astra should be evaluated as a computer-use agent model rather than through the "is it AGI" lens.
Key numbers:
- OpenAI reports very strong results on FrontierMath Tier 4, ARC-AGI-3, and ExploitBench.
- Artificial Analysis scored Astra 61 on its Intelligence Index, tied with GPT-5.6 Sol.
- Coding Agent Index: 67, two points above Sol but below Fable 5.1 at 70.
- At max effort it used fewer output tokens than Sol but cost more per task due to higher token price.
The author's take: Astra suits workflows where stronger computer use, coding, long context, or fewer failed attempts justify the premium. Recommended evaluation: run one expensive fragmented workflow side by side with the incumbent, measure completion, accepted output, retries, correction time, and total cost, keep human approval on consequential actions, and decide on cost per accepted outcome rather than launch benchmarks.
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