Latent Space burned 20B+ tokens on GPT-6 Astra and reports it runs at roughly $6 an hour while managing 20-50 subagents in parallel

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swyx's 2026-09-03 hands-on says Astra saturates the hardest FrontierMath (97.6%) and ARC-AGI-3 (99.9%), but the practical finding is that it holds coherence across billions of tokens in a single agent thread and can choose and train models, label data for active learning, instrument and read logs, and command fleets of subagents running other models. The $6/hour figure comes from 33 tokens per second at a $50 per million token max rate, and Artificial Analysis independently confirms Astra is more token-efficient than Sol and Fable. Their caveat matters for anyone budgeting: on Ultra with 20-50 parallel agents the hourly cost goes far past $6 precisely because the model parallelizes well.