Opus 5.5 vs Sonnet 5.5 on an X-ray fly simulation coding task
Given the same biomorphic coding task, Opus 5.5 built a Three.js 3D scene with interactive UI while Sonnet 5.5 focused on 2D telemetry charts, and the author notes where each fits.
OPUS 5.5 VS SONNET 5.5: WHO BUILDS BETTER AI SIMULATIONS? We benchmarked Claude Opus 5.5 and Sonnet 5.5 on a complex biomorphic coding task: building a full X-Ray fly simulation (Musca Domestica) from scratch. Both models ran with zero console errors, but their architecture choices revealed two completely different paradigms. 1. Claude Opus 5.5 - The 3D & UX Powerhouse: • Spatial 3D Scene: Built a true Three.js 3D model with glowing X-ray contours, free orbital camera controls, and automatic object tracking. • Complete Interactive UI: Includes pause, speed adjustment (0.5× / 1× / 2×), direct stage scrubbing, and an 11-stage 70s cycle. • Frame-Driven Sync: Time tracks rendered frames-smoothly pausing when the browser tab is unfocused. 2. Claude Sonnet 5.5 - The Deep Telemetry Instrument: • Granular 2D Schematics: Traded 3D space for dense analytical UI-featuring neural impulse graphs, target crosshairs, and live organ metrics. • Advanced Neuro-Logic: 14 distinct stages covering dopamine response, brain scanning, and thoracic ganglion logic. • Autonomous Persistence: Spent 38 minutes across 33 steps building hyper-detailed biological telemetry. 3. The Verdict: • Opus 5.5 is BETTER for: 3D graphics, spatial interactivity, and rich end-user controls. • Sonnet 5.5 is BETTER for: Granular data visualization, complex multi-stage logic, and deep system telemetry. Which architecture philosophy wins for your stack: Opus’s spatial 3D experience or Sonnet’s deep analytical precision?
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