Distributed Cognition says its 0.5M-parameter VINCO beats frontier LLMs at Catan
Overview
Distributed Cognition says its 0.5M-parameter model VINCO won 36 of 40 one-on-one Catan games against Claude Opus 5.5, Claude Fable 5.1, Astra and Kimi K3.
The company says Catan tests planning under hidden information and unknown future dice rolls, which coding benchmarks do not measure. Distributed Cognition also says VINCO is about 10 million times smaller than the LLMs it beat. The claims come from the company's announcement, as reported on X by Rohan Paul, and the match conditions and evaluation method have not been independently verified.
Written by AI from the articles below · updated Nov 5, 4:58 PM ET
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Rohan Paul@rohanpaul_aiXDistributed Cognition's 0.5M-parameter VINCO beats frontier LLMs at CatanAIDistributed Cognition says its 0.5M-parameter model VINCO beat Claude Opus 5.5, Claude Fable 5.1, Astra and Kimi K3 in 36 of 40 games of 1v1 Catan. Catan tests planning without seeing the opponent's cards or knowing future dice rolls, which coding benchmarks do not measure. The company says VINCO is about 10 million times smaller than the frontier LLMs it beat.

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