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Wire · ai

How enabling two settings tripled our scores on the ARC-AGI-3 benchmark

29 July 2026 · By · Wire by Fusion42

Published

29 July 2026

Topic

ai

◆ Sectors

AI Frontier Models

◆ Geography

United States

◆ Source

Read at openai.com →

◆ Verified

Fusion42 · 22 August 2026 · Fusion42 review

Enabling two specific API settings—retained reasoning and compaction—in the ARC-AGI-3 benchmark significantly improved OpenAI's GPT-5.6 Sol performance, tripling its score and reducing output tokens sixfold compared to the official benchmark harness.

This Wire brief sits within Fusion42's coverage of AI Frontier Models.

◆ ◆ The Wire takeaway

You can boost agent AI performance drastically by preserving internal reasoning state and trimming conversation history efficiently. Adjust your model deployment settings now to unlock better puzzle-solving capabilities without changing the model itself.

◆ Coverage

1 source · 29 Jul 2026

◆ Related on Wire

◆ Topics

AI Frontier Modelsagibenchmarkapi-settingsopenaimodel-performance