Which Model, Which Harness — For Every Kind of Task

The one-page decision matrix for the moment the smartest AI model and the best coding tool stopped being the same company's product. A head-to-head benchmark scorecard (Claude Opus 4.8 vs GPT-5.5): Artificial Analysis Intelligence Index 61.4 vs 60.2, SWE-bench Pro 69.2% vs 58.6% (+10.6), GDPval 1,890 vs 1,769 Elo, OSWorld computer-use 83.4% vs 78.7%, Humanity's Last Exam 57.9% vs 52.2% — all to Opus — while GPT-5.5 takes Terminal-Bench 2.1 (78.2% vs 74.6%, and 83.4% in the native Codex CLI). Plus pricing ($5 / $25 per 1M, fast mode 3x cheaper) and the ~30% extra-turns cost caveat, a task-to-pick decision matrix, the verified Codex harness feature list (Computer Use, phone remote, Appshots, Goal mode GA, in-app browser, macOS app) with caveats, and the pro move: run the best tool, swap the best model into it, switch when the leaderboard flips.

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