Ripple-65B tops open models five to fifteen times its size on agentic coding

On November 4, 2026, Ricursive released Ripple-65B Preview, a dense 65-billion-parameter open-weight model trained from scratch for agentic coding: 80.5 on Terminal-Bench 2.1, ahead of MoE rivals of 501 to 975 billion parameters, on $32 million of research spend. The scores remain self-reported and uneven outside coding; the interest is first and foremost an efficiency story.