How far can great RL data push an open model? Far enough to beat frontier closed models.
This is a AI post classified by AGK Intelligence as Frontier models (a model release), kept by the AI Radar because it carries real work, not commentary.
How far can great RL data push an open model? Far enough to beat frontier closed models. We trained @NVIDIAAI's Nemotron 3.5 Super VL (just 12B active parameters) on Surge RL data using @thinkymachines' Tinker. The result? It beat GPT-5.6 Terra's published score on SWE-Bench Pro V2, and also improved across 11 other benchmarks: ➡️ GDP.pdf: +18.6pp ➡️ HANDBOOK.md: +12.8pp ➡️ AutomationBench: +12.7pp ➡️ Chartography: +11.2pp ➡️ AdvancedIF: +7.7pp There's enormous untapped potential in open models. We believe that frontier performance doesn't have to come from frontier size. It can come from
Posted by Surge AI (9.6k followers) 22 h ago · 60 likes · 5k views · view the original post on X. Kept by the AI Radar as Frontier models.
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