@cognition: Introducing SWE-2, our closest model yet to the frontier. On leading evals, it scores on par with recent frontier model…

X AI KOLs Timeline Models

Summary

SWE-2 is an AI model that matches frontier performance at up to 70% lower cost through scaled reinforcement learning.

Introducing SWE-2, our closest model yet to the frontier. On leading evals, it scores on par with recent frontier models – at up to 70% lower cost. We scaled RL to multiple trillions of parameters, with a refined recipe that pushes the Pareto curve on both capabilities & cost. https://t.co/FjBxrikExs
Original Article
View Cached Full Text

Cached at: 09/10/26, 08:23 PM

Introducing SWE-2, our closest model yet to the frontier.

On leading evals, it scores on par with recent frontier models – at up to 70% lower cost.

We scaled RL to multiple trillions of parameters, with a refined recipe that pushes the Pareto curve on both capabilities & cost. https://t.co/FjBxrikExs

Similar Articles

Cognition's SWE-2

Product Hunt

Cognition's SWE-2 is a new coding model post-trained from Kimi K3 with reinforcement learning, achieving 50.0% on FrontierCode 1.1 Main and offering cost savings of 64% compared to Fable 5.1 while being competitive with GPT-6 Astra. It is now available in Devin Desktop and CLI.

Cognition's SWE-2 achieves 92.8 on Terminal-Bench 2.1

Hacker News Top

Cognition's SWE-2 model, post-trained from Kimi K3, achieves a score of 92.8 on Terminal-Bench 2.1, offering competitive performance with lower cost compared to frontier models like Fable 5.1 and GPT-6 Astra.