最新模型
Cognition Launches SWE-2: Training Multiple Reasoning-Cost Levels in a Single Reinforcement Learning Run
Built on the 2.8T-parameter Kimi K3 base model, SWE-2 improves coding-agent efficiency through cost penalties, low-precision rollouts, and a draft model updated in sync with training. Official benchmarks show performance approaching that of frontier closed-source models, but the results were largely produced by Cognition itself, and neither a standalone API nor model weights are currently available.