Laguna S 2.1 is, as far as we can measure, the most capable agentic coding model in its weight class. On Terminal-Bench 2.1 it scores 70.2, sitting beside models 5–25x its size and ahead of several of them. And on DeepSWE from @datacurve, the hardest long-horizon benchmark we ran, Laguna S 2.1 scores 40.4, outperforming some open models with more than 1T parameters. For every score we publish today, we're releasing the full trajectory of every trial in the final evaluation set at http://trajectories.poolside.ai