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Anthropic's Claude Opus 5 achieves 4x lead on ARC-AGI-3 benchmark

Anthropic has released Claude Opus 5, which achieved a verified 30.16% score on the ARC-AGI-3 benchmark, a significant four-fold increase over the previous best of 7.78%. This benchmark tests an AI's ability to adapt in unfamiliar interactive environments without explicit instructions. The new model features a one-million-token context window and maintains the same API pricing as its predecessor, Opus 4.8, though its default reasoning capabilities may increase operational costs for some users. AI

IMPACT Sets a new SOTA on adaptation benchmarks, potentially influencing future model development and evaluation strategies.

RANK_REASON Frontier-lab model release with system card and benchmark results. [lever_c_demoted from frontier_release: ic=1 ai=1.0]

Read on dev.to — Anthropic tag →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Anthropic's Claude Opus 5 achieves 4x lead on ARC-AGI-3 benchmark

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Frontier-lab model release with system card and benchmark results. [lever_c_demoted from frontier_release: ic=1 ai=1.0]
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COVERAGE [1]

  1. dev.to — Anthropic tag TIER_1 English(EN) · Breach Protocol ·

    Claude Opus 5 posts a verified four-fold lead on the hardest adaptation benchmark

    <p>Anthropic released Claude Opus 5 on July 24, and the independent benchmark owner ARC Prize verified it at 30.16% on ARC-AGI-3, its test of how well an AI adapts inside unfamiliar interactive environments. The previous best published result on that test was 7.78%. The model shi…