Poolside Releases Laguna S 2.1: A Small Coding Model Outperforming 1T+ Parameter Giants
mervenoyann · x · 2026-07-22
Poolside has announced Laguna S 2.1, claiming it is the most capable agentic coding model in its weight class.
On the Terminal-Bench 2.1 benchmark, the model scored 70.2, competing directly with models 5–25x its size and outperforming several of them. On the highly challenging long-horizon DeepSWE benchmark, Laguna S 2.1 scored 40.4, beating multiple open-source models with over 1 trillion parameters. The company has also released the full trajectory of every trial in the final evaluation set on GitHub for transparency.
Related event: Poolside Releases Laguna S 2.1 Open-Weight Coding Model(10 posts)→
More from Models
- DeepSWE Eval: Kimi K3 Matches Claude Fable 5 at 35% of the Cost — togethercompute · 2026-07-22
- Gemini 3.5 Flash Outperforms GPT-5.6 in Light Coding Tasks — Shick_hydro · 2026-07-22
- NVIDIA says Nemotron 3 Ultra scored 30/42 on the 2026 IMO problems — NVIDIAAI · 2026-07-22
- Gemma-4-26B-a4B reportedly beats Qwen3.6 and Qwen3.5 MoE fine-tunes — JLeonsarmiento · 2026-07-22
- OpenAI is reportedly briefing U.S. lawmakers on its next model family — kimmonismus · 2026-07-22
- Muse Spark 1.1 lands at 1495 on Text Arena with standout agentic-coding price performance — ycombinator · 2026-07-22