Anthropic models use more tools as they improve, OpenAI models fewer: VIALS-AA data

ArtificialAnlys · x · 2026-11-10

Artificial Analysis built VIALS-AA from Handshake AI's VIALS life-sciences visual reasoning benchmark (gel blots, plasmid maps, phylogenies). Claude Fable 5.2 (max) leads at 67% pass^3, with Gemini 4 Carbon at 64% and GPT-6 Astra at 63%. Key split: Anthropic's tool calls rise with capability, from 21 per task (Haiku 5.5) to 37 (Fable 5.2), driven mostly by image viewing (+30% vs Opus, code execution only +5%). OpenAI models go the opposite way — GPT-6 Astra, GPT-6.1 Sol, GPT-6.1 Terra and GPT-6 Luna all make fewer tool calls than Haiku, with the highest-scoring Astra making the fewest.

Related event: Artificial Analysis launches VIALS-AA benchmark; Fable 5.2 leads multiple rankings(4 posts)→

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