Agent Arena: frontier models show 55-minute gap on long-horizon agent tasks

arena · x · 2026-11-05

Agent Arena measures complex real-world agent tasks spanning hundreds of turns — porting codebases to Rust, auditing investment documents, writing math textbooks. Comparing the top model from each of 5 leading labs reveals a 55-minute gap on long-horizon tasks: Claude Opus 5.5 (Arena #1) spends the longest at every task length, peaking at 1h51m, while Kimi K3.1 Pro spends the least, at just 56 minutes. Long-horizon sessions amplify differences between frontier models.

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