OpenAI GPT-6 Sol previews show Astra-level coding

OpenAI is aggressively pushing frontier reasoning down into budget tiers to make multi-agent developer workflows economically viable. A 72,000-token single output window indicates major architectural optimizations for long-horizon coherence without compound error accumulation across agent turns. Sol follows OpenAI's celestial hierarchy below Astra, directly targeting Anthropic's Opus and Sonnet tiers in pricing-to-intelligence ratios for coding tasks. If Astra-level capabilities become available at commodity inference rates, the developer moat shifts entirely from raw model intelligence to context orchestration, harnesses, and test generation. Running full simulation generation in a single inference call points toward a shift away from conversational coding toward autonomous, end-to-end software synthesis.