Swe 2 - GoKawiil

Cognition's SWE-2 model scores 92.8 on Terminal-Bench 2.1, trails on longer tasks

Cognition released SWE-2, a coding model built by post-training on a 2.8-trillion-parameter Kimi K3 base with 104B active parameters, marking its first RL push into the multi-trillion-parameter range. The model posts a class-leading 92.8 on Terminal-Bench 2.1 and competitive FrontierCode scores at lower cost than rivals like Claude Fable 5.1 and GPT-6 Astra, but falls well behind both on the harder Terminal-Bench 4.0 benchmark (27.3 vs 55.8 and 57.9). SWE-2 is closed-weight and available now through Devin Desktop and CLI, with no local deployment option.

tokenstead.ai · 2026-09-10

Cognition releases SWE-2 coding model built on Kimi K3, undercutting rivals on price

Cognition unveiled SWE-2, a coding-focused AI model post-trained from the 2.8-trillion-parameter Kimi K3 base. The company says it scores 50.0% on FrontierCode 1.1 Main, nearly matching Fable 5.1 while costing 64% less, and comes close to GPT-6 Astra at roughly a quarter of that model's price. SWE-2 also outperforms Cognition's earlier SWE-1.7 model and Grok 4.6 across several coding benchmarks.

cognition.com · 2026-09-10