GPT-6 Astra users report aggressive token burn compared to GPT-5.6 Sol
gillu-21 · reddit · 2026-09-11
Users testing GPT-6 Astra report token usage burning far faster than on GPT-5.6 Sol — a few serious prompts visibly drain the usage meter, and in Codex and heavier reasoning modes a single substantial workflow can eat a huge chunk of quota. The author questions the intelligence-to-usage-cost ratio, speculating Astra is meant for a few very hard tasks rather than daily work, and asks the community whether the quality gain justifies the burn.
More from Models
- Models got less conversational as they got agentic — here's how to get a thinking partner back — evielync · 2026-09-11
- KV cache gets QAT too: why this model beats others at fp4 KV cache — stochasticchasm · 2026-09-11
- Dev finally ships his Tamagotchi-style IFS therapy app on the 5th try with GPT Astra — brandon_galang · 2026-09-11
- OpenAI pauses Pro subscription sign-ups citing system strain from demand — TechCrunch AI · 2026-09-11
- A 'Flash' Model Is Now 512GB — 100GB Used to Be Considered Huge — Terminator857 · 2026-09-11
- User suspects Ox Alpha and GLM 5.3 Flash outputs were secretly routed to Claude — liminal_bardo · 2026-09-11