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Cheaper Per Token, Dearer Per Fix: Gemini 4 Argon vs Opus 5.5 on Real Code

Gemini 4 Argon costs half of Claude Opus 5.5 per token. On my 20-run production monorepo bench it passed every test in 16 runs and never broke a passing test, the best result of any model so far. It also wrote 2.8x the output tokens and cost more than Opus. On December 1 the price doubles. On vision tasks it came last.

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The Archetype Under the Title

Boris Cherny, who built Claude Code, says engineering, product, design and data science are melting into one role, and what's left is five archetypes: Prototyper, Builder, Sweeper, Grower, Maintainer. I read the list and realised I'm all five, because building solo with agents leaves no one to hand a phase to. The framework is thirty years old. What's new is that it just became the primary axis instead of the secondary one.

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The Default Was Right: Opus 5.5, Sonnet 5.5 and GPT-6 Sol Effort Levels on Real Work

Benchmarks say turn effort up. On real work, it went the other way. I ran Claude Opus 5.5, Claude Sonnet 5.5 and GPT-6 Sol at low, medium, high, xhigh and max effort on six real changes from a production monorepo: 300 runs. Opus peaked at medium, the Claude Code default, and reproduced it exactly on a second day. Above medium it started breaking tests. More effort never made any model more careful.

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