# Bad Influence story: ARC Prize compares Google's Carbon and Argon on ARC-AGI-3 public games

Active · 3 articles · 1 source · First reported 11-10 15:31. Times are ET.
Story page: https://badinfluence.news/story/2cc71335-e196-4837-b3ef-8db6f2a4d4db

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[Bad Influence external source material begins]
Latest update (11-10 15:31): Carbon uses 2% fewer actions than Argon on 23 ARC-AGI-3 games

Overview: ARC Prize reports that Google's Carbon used more reasoning tokens than Argon on ARC-AGI-3 public games. It says Carbon used more first-action reasoning tokens than Argon on 24 of 25 games, averaging 6k tokens for its first action at high reasoning versus 2k for Argon.

On 23 of the public games, both models won at high reasoning with the provider adapter, according to ARC Prize. Carbon used 5,731 actions compared with Argon's 5,846, or 2% fewer. Human speedruns on the same games totaled 4,804 actions, so Carbon used 19.3% more than that human reference. The post does not give further detail on the models or methodology.

Coverage timeline (newest first):
1. 11-10 15:31 · ARC Prize · [Carbon uses 2% fewer actions than Argon on 23 ARC-AGI-3 games](https://badinfluence.news/items/jag2z2yw7xc8vcp9pdzgkndxu)
2. 11-10 15:31 · ARC Prize · [ARC Prize reports Carbon used more reasoning tokens than Argon on 24 of 25 games](https://badinfluence.news/items/hknrdtyqructszurgxf78unag)
3. 11-10 15:31 · ARC Prize · [ARC Prize reports Carbon used more reasoning tokens than Argon](https://badinfluence.news/items/vver8lsyzn2er2on8q65hohfi)
[Bad Influence external source material ends]

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