Claude Opus 4.7: benchmark results

Anthropic's flagship Opus model for complex reasoning, coding, and writing tasks. Provider: Anthropic. Released 2026-04-16. Access: API.

Aggregate Rating 1824 ± 3, rank #49 of 1656 rated models, from 2129 benchmark results.

Strongest benchmark results

BenchmarkScoreMetricPercentile
1GC-7RC: One Graphic Card -- Seven Research Challenges! How Good Are AI Agents at Doing Your Job?0.31GC-7RC ($\uparrow$ Agg)100
3DCodeBench - Executability91Executability (%; Blender 5.0 scripts that run and yield a m100
AARRI-Bench (Claude Code)62.2Task success rate (%) under the 0/1 reward (a task counts on100
AARRI-Bench (Claude Code) - Context55.9Task success rate (%) under the 0/1 reward on the context ta100
AARRI-Bench (Claude Code) - Hands-on57.1Task success rate (%) under the 0/1 reward on the hands-on t100
AARRI-Bench (Claude Code) - Mindset76.9Task success rate (%) under the 0/1 reward on the mindset ta100
AARRI-Bench (Hermes Agent) - Mindset76.9Task success rate (%) under the 0/1 reward on the mindset ta100
AARRI-Bench (Mini-SWE-Agent)68.3Task success rate (%) under the 0/1 reward (a task counts on100
AARRI-Bench (Mini-SWE-Agent) - Context64.7Task success rate (%) under the 0/1 reward on the context ta100
AARRI-Bench (Mini-SWE-Agent) - Interaction76.2Task success rate (%) under the 0/1 reward on the interactio100
ADeptS-Bench - Attack Success (Desktop)27.2Attack success rate (%, lower is better; share of the 501 ma100
ADeptS-Bench - Attack Success (Mobile)27.7Attack success rate (%, lower is better; share of the 358 ma100

Interactive version: theaggregate.ai/model?slug=claude-opus-4-7 · How It Works · Data refreshed daily, snapshot 2026-10-20.