Argon is just the second model family to officially, effectively, max out ARC-AGI-3 using a provider adapter. Impressive results from GDM here! Also notable that we're seeing the same "backwards bend" on action efficiency.
Google DeepMind's Gemini 4 Argon scores 97.5% on ARC-AGI-3 with a provider adapter
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Mike Knoop says Gemini 4 Argon is only the second model family to officially max out ARC-AGI-3 using a provider adapter. ARC Prize's verified results show 97.5% at $4.8K with the provider adapter harness and 49.8% at $5.8K with the standard harness. The same results list 91.3% on ARC-AGI-2 at $0.32 per task and 98.5% on ARC-AGI-1 at $0.16 per task.
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Gemini 4 Argon from @Google on ARC-AGI (Verified): - ARC-AGI-3: 97.5%, $4.8K (provider adapter harness), 49.8%, $5.8K (standard harness) - ARC-AGI-2: 91.3%, $0.32/task - ARC-AGI-1: 98.5%, $0.16/task Google DeepMind is the second frontier AI lab to score above 95% on ARC-AGI-3.
Source: Mike Knoop · x.comPublished · added here