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Opus 5狂烧6.9亿token做游戏,GPT-5.6用5美元复刻了

量子位 LLM Agents 听雨 2026-08-09
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TL;DR - A developer used Claude Opus 5 with a single ~2000-word prompt (690M tokens, $423) to one-shot a playable Three.js speedboat racing game, "INK TIDE"; another dev then reproduced a rougher version in Codex with GPT-5.6 Sol/Luna for roughly $5. It's a concrete datapoint on multi-agent coding workflows and the cost/quality tradeoff between frontier models.

  • The "single prompt" was effectively a requirements doc: hard constraints → visual standards → functional requirements → dev process → delivery criteria, with a dedicated section for the water system; built on Vite + TypeScript + Three.js with all models, textures, and audio generated procedurally (no external assets).
  • The prompt explicitly orchestrated sub-agents by domain (water, toon rendering, boat physics, AI opponents, character animation, audio/visual, performance), fixing shared architecture and per-agent file ownership first to fight "attention dilution" in long tasks.
  • A screenshot harness plus a visual-review sub-agent acted as QA: each subsystem was run, screenshotted, critiqued, and iterated until the reviewer had no complaints.
  • The GPT-5.6 replica (Sol Ultra as orchestrator, Luna Max as sub-agent, ~5 hours, 2 prompts) matched surface elements but was visibly coarser in water detail and visual coherence; the $5 figure is subscription-quota accounting (~20% of a weekly limit), not an API bill. Opponent AI in the original is hardcoded and deliberately weak (fastest NPC only 0.5% above optimal pace; another scripted to err 2–3 times per lap).

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