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Artificial Analysis Reruns VIALS-AA Without Tools: Tool Use Nearly Doubles Average Scores From ~25% to ~47%, and Claude Haiku 5.5 With Tools Beats Fable 5.2 Without Them at About a Tenth of the Cost

Independent evaluator Artificial Analysis reran VIALS-AA, its life-sciences visual reasoning benchmark, in a one-shot format with one request and no tools. Tool use lifted the cross-model average from about 25% to about 47%. Leader Claude Fable 5.2 (max) scores 67% with tools at $4.20 per task but 44% without them at $0.73, while Claude Haiku 5.5 (max) reaches 49% with tools at $0.07 per task. The same day AA also reported that across the Claude lineup, moving up a model tier usually beats maxing out effort on intelligence per dollar.

Artificial Analysis Reruns VIALS-AA Without Tools: Tool Use Nearly Doubles Average Scores From ~25% to ~47%, and Claude Haiku 5.5 With Tools Beats Fable 5.2 Without Them at About a Tenth of the Cost

Key Takeaways

  • Tools lift the VIALS-AA cross-model average from ~25% to ~47% (AA figures)
  • Fable 5.2 (max): 67% at $4.20/task with tools vs 44% at $0.73 without, a 5.8x cost gap
  • Haiku 5.5 (max) scores 49% at $0.07/task with tools; Opus 5.5 without tools scores only 34% at $0.33
  • On 23 cell-counting tasks, Fable falls from 65% to 9% and Opus 5.5 (max) from 57% to 4% without tools
  • Claude lineup: Opus 5.5 (xhigh, 57) beats Sonnet 5.5 (max, 55) at 40% lower cost per task and about half the time
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Artificial Analysis: Claude Fable 5.2 Takes #1 on the AA-3D Interactive 3D Benchmark at 1271 Elo, 67 Points Clear, and Leads the VIALS-AA Scientific Image Reasoning Benchmark at 67%

Independent evaluator Artificial Analysis published two new results on November 10. On AA-3D, which tests how well a model acting as an agent builds interactive three.js web scenes, Claude Fable 5.2 (Max) scores 1271 Elo, 67 points ahead of second-place Claude Sonnet 5.5 (1204); its 95% confidence interval of 1246 to 1297 does not overlap any other model, so the lead is outside the margin of error. It is 132 points above Fable 5.1 (1139) and ahead of the top OpenAI and Google entries, GPT-6 Astra (1168) and Gemini 4 Argon (1147). On VIALS-AA, a life-science image reasoning benchmark, Fable 5.2 scores 67%, ahead of previous leader Gemini 4 Carbon (64%) and GPT-6 Astra (63%). AA also found opposite strategies: Fable averages about 37 tool calls per task, Astra about 8.

Artificial Analysis: Claude Fable 5.2 Takes #1 on the AA-3D Interactive 3D Benchmark at 1271 Elo, 67 Points Clear, and Leads the VIALS-AA Scientific Image Reasoning Benchmark at 67%

Key Takeaways

  • AA-3D: Fable 5.2 (Max) 1271 Elo vs Sonnet 5.5 1204 and Opus 5.5 1202; its 95% CI of 1246-1297 overlaps no other model
  • Generational gain: 132 points above Fable 5.1 (1139); the top OpenAI entry GPT-6 Astra scores 1168, the top Google entry Gemini 4 Argon 1147
  • AA-3D setup: each model works as an agent in an offline sandbox for up to 3 hours / 250 turns with Blender, Rapier physics, Python and a headless browser; human panelists vote on blind pairs after at least 30 seconds per scene
  • VIALS-AA: Fable 5.2 67%, Gemini 4 Carbon 64%, GPT-6 Astra 63%
  • Opposite tool strategies: Fable makes about 37 tool calls per task and 1.60 per turn (highest on the board); Astra makes about 8, the fewest AA has measured
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Artificial Analysis Launches VIALS-AA: Handshake Life-Sciences Visual Reasoning Board; Vendor Lead Gemini 4 Carbon ~64%

On 2026-11-06, Artificial Analysis (@ArtificialAnlys) launched VIALS-AA: an independent rerun of Handshake AI VIALS (161 tasks across 8 scientific image domains) in the open Stirrup harness with code execution and image tools, three repeats per task, headline metric pass^3. Vendor board: Gemini 4 Carbon (high) ~64%, GPT-6 Astra (max) ~63%, Claude Opus 5.5 (max with fallback) ~61%; open-weights lead Kimi K3.1 Pro ~45%.

Artificial Analysis Launches VIALS-AA: Handshake Life-Sciences Visual Reasoning Board; Vendor Lead Gemini 4 Carbon ~64%

Key Takeaways

  • Source: Artificial Analysis official article/leaderboard on 2026-11-06; tasks from Handshake AI VIALS
  • Method: 161 tasks x 3 repeats; Stirrup with code execution + image tools; GPT-6 Luna (medium) grades; headline pass^3
  • Leaders (vendor): Gemini 4 Carbon (high) 64%, GPT-6 Astra (max) 63%, Claude Opus 5.5 (max with fallback) 61%
  • Cost & consistency: Sol ~59% at ~$0.056/task; Kimi K3.1 Pro near Astra on pass@3 but only ~45% on pass^3
  • Use: artificialanalysis.ai/articles/vials-aa and /evaluations/vials-aa
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