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Cognition releases coding model SWE-2 Flash

Cognition releases the coding model SWE-2 Flash. According to the Cognition model/Devin blog, the model is trained on Thinking Machines' Inkling-Small (276B total parameters, 12B activated parameters), and in the training pipeline a mid-training stage before reinforcement learning was added for the first time. The company claims Terminal-Bench 4.0 improved from 0.9% to 20.0%, FrontierCode 2.0 from 3.2% to 24.0%, and ExploitBench from 11.3% to 34.8%. The model is now available on Devin Desktop and CLI, priced at one-fifth of the larger SWE-2 from the same family, and three times faster (200 tok/s versus 60 tok/s); its weights are not yet public, with plans to share them securely with trusted industry partners and research institutions through a program. Cognition also claims that the model surpasses all US open-weight models on major benchmarks, including models with 3 times as many parameters; within this month, Pro, Max and Teams users can use it for free in Devin Desktop and Devin CLI.