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Cognition's coding model for Devin, post-trained from Kimi K3 — within a point of Fable 5.1 on FrontierCode, on its own figures.
SWE-2 is Cognition's software-engineering model, released on 10 September 2026 and available from launch in Devin Desktop and the Devin CLI, with Devin Web and Fusion following. It is post-trained with reinforcement learning from Moonshot AI's open-weights Kimi K3, building on the training recipe of Cognition's earlier SWE-1.7, and its training objective counts the cost of each attempt, a mix of inference spend and time, as well as whether it succeeded. It offers three reasoning-effort levels (medium, high and max), which Cognition trained in a single run. Cognition reports 50.0% on FrontierCode 1.1 Main, within a point of Claude Fable 5.1 while being 64% cheaper, 73.0% on DeepSWE 1.1 and 92.8% on Terminal-Bench 2.1; on Terminal-Bench 4 it reports 27.3%, well behind Fable 5.1 at 55.8% and GPT-6 Astra at 57.9%. These are vendor figures, each the best of SWE-2's effort settings, and the cost comparison assumes list prices with public discounts. Cognition's announcement states no price, context window or licence, so none is recorded; it is offered inside Devin rather than announced as a standalone API.
| Benchmark | Official | Community avg |
|---|---|---|
| DeepSWEcode | 73 % | — |
| FrontierCode 1.1 Maincode | 50 % | — |
| Terminal Bench 2.1agent | 92.8 % | — |
| Terminal-Bench 4.0agent | 27.3 % | — |
“Official” values are editor-approved and feed the ranking. “Community avg” is the mean of member submissions (shown for transparency; it never affects the ranking until an editor approves a value).
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Updated 9/16/2026
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