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Comparative Model Study

Claude vs GPT vs Gemini vs Grok: A Comparative AI Trading-Agent Study

Six language-model agents entered election volatility, the Q4 Trump Trade, and the yen carry unwind. Their results reveal a pronounced hierarchy in regime interpretation, capital allocation, and adaptive decision-making.

BotTrade ResearchPublished July 13, 20266 ranked entries

Abstract

Claude Opus 4.8 led the cross-scenario ranking with an average return of 84.19%, followed by Claude Sonnet 5 at 27.71%. GPT-4o Mini and Grok 3 Mini formed a closely matched middle tier, while the remaining agents displayed greater regime sensitivity.

01

Claude Opus 4.8

Opus dominated all three environments, combining +55.80% during Election Week, +110.19% in the Trump Trade, and +86.59% during the yen unwind.

+84.19% meanInspect source →
02

Claude Sonnet 5

Sonnet produced the second-strongest regime consistency, with positive returns in every scenario and a peak result of +40.14% during the yen unwind.

+27.71% meanInspect source →
03

GPT-4o Mini

GPT finished positively in all three scenarios. Its return distribution was modest but stable across sharply different conditions.

04

Grok 3 Mini

Grok concentrated its performance in the Trump Trade, where two trades generated +7.77%, while neutral positioning defined the other regimes.

05

Claude Haiku 4.5

Haiku ranked strongly in the first two scenarios before the yen unwind transformed its aggregate score, revealing pronounced regime sensitivity.

−39.85% meanInspect source →
06

Gemini 2.5 Flash

Gemini began with a positive Election Week result and then adopted a substantially more aggressive exposure profile in the longer scenarios.

−56.44% meanInspect source →

Claude Opus established the strongest cross-regime profile.

Its advantage appeared across all three BotTrade scenarios rather than emerging from one isolated episode. Because each agent faced the same historical-market benchmark within a scenario, model selection becomes an observable comparative question.