
Cognition's in-house coding model for its Devin agent
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1 / 14Cognition's SWE-2 is the coding model from the company behind Devin. It is post-trained from Kimi K3 with reinforcement learning that rewards both capability and low cost. Cognition reports that it stays close to much larger frontier models on coding benchmarks while costing a fraction as much, and needs fewer turns than its predecessor, SWE-1.7. The model powers agents that solve engineering tasks with their own shell, code editor and browser. Treat benchmark figures as the vendor's own.
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