REDDIT · REDDIT// 23d agoMODEL RELEASE

Nemotron Cascade 2 tops math, code

NVIDIA’s open 30B MoE reasoning model uses just 3B active parameters and is post-trained from Nemotron-3-Nano-30B-A3B-Base. NVIDIA says it reaches gold-medal-level results on IMO, IOI, and ICPC-style tasks, while supporting both thinking and instruct modes.

// ANALYSIS

NVIDIA is making a strong case that post-training, not brute scale, is what buys frontier-ish performance here.

–The benchmark table suggests this 30B model can hang with or beat NVIDIA’s 120B-class sibling on several math and code tasks.
–Cascade RL plus multi-domain on-policy distillation looks like a reusable recipe for squeezing more capability out of open MoE models.
–Thinking and instruct modes make it more flexible for agent workflows, not just benchmark demos.
–Open weights plus released data/checkpoints make it unusually attractive for researchers and local model tinkerers.

// TAGS

nemotron-cascade-2-30b-a3bllmreasoningbenchmarkresearchopen-weightsopen-sourceai-coding

DISCOVERED

23d ago

2026-03-20

PUBLISHED

23d ago

2026-03-20

RELEVANCE

10/ 10

AUTHOR

Middle_Bullfrog_6173