GPT-6 Astra sparks AGI debate: 99.9% vs 62.7% ARC-AGI-3 scores explained
johnseach · x · 2026-09-06
OpenAI shipped GPT-6 Astra on September 3, and Greg Brockman told reporters "Welcome to the AGI era" — but the numbers deserve fine print.
- Capabilities: Astra is a strong tool-using agent, far better at driving computers than GPT-5.6 Sol; it works through forms, browsers, CRMs, calendars, and real software like KiCad, Unity, and CAD; 98% on FrontierMath Tier 4 and the first OpenAI model to hit the internal "Critical" cyber threshold (public version still refuses advanced exploit work)
- Specs/pricing: 1.05M token context, API near $10/$50 per million input/output tokens, trusted orgs and paid plans first
- The benchmark catch: the viral 99.9% ARC-AGI-3 score used OpenAI's own Provider Adapter harness; ARC Prize's standard harness put the same model at 62.7% at max effort — both real, measuring different systems
- AGI verdict: no agreed test; Altman himself called AGI a poorly defined marketing term; Claude Fable 5.1 and other frontier models sit close on coding and agent indexes
Treat it as a real jump in agentic computer work, not a scientific AGI result.
Related event: OpenAI Launches GPT-6 Astra and Declares the AGI Era(21 posts)→
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