On November 5, 2026, Thinking Machines Lab introduced Inkling 2 Small, a mixture-of-experts model with 594 billion total parameters and 17 billion active, with image input and variable effort, first available under closed weights on Tinker. For teams evaluating an open-weight ‘flash’ model for agentic coding, the real story is not the parameter total but the gap between today’s closed access and the Apache 2.0 weights promised next week.

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.