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.
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
