XBow Benchmarks AI Models by Cost: Claude Opus 5.5 Leads at 91.5% Solved Under $15
mboehme_ · x · 2026-11-07
XBow released capability-vs-cost benchmark data measuring the share of benchmark tasks each model solves within a given budget.
Key results (solved within $15 spend):
- claude-opus-5-5: 91.5%
- gpt-6.1-sol: 89.2%
- gpt-6-astra: 83.1%
- muse-wonder-1.0: 79.7%
- grok-4.7: 77.2%
- deepseek-v4.1-flash: 72.3%
- claude-fable-5.1: 70.8%
- gemini-3.8-flash-cyber: 68.2%
The curves show success rates vary sharply with budget: some models hit 70%+ within $1, and no single model leads across all spending levels — cheap fast models and premium models each win under different budget constraints.
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