Context lengths are 256,000 tokens on nemotron-3-nano-30b-a3b-free and 262,144 tokens on nemotron-3-super-120b-a12b-free.
nemotron-3-nano-30b-a3b-freenemotron-3-super-120b-a12b-freeNVIDIA Nemotron 3 Nano 30B A3B is a highly efficient small language Mixture of Experts (MoE) model developed by Nvidia. Designed to help developers build specialized agentic AI systems, it delivers exceptional compute efficiency and accuracy. Additionally, it features an impressive context length of 256,000 tokens to support extensive data processing.
NVIDIA Nemotron 3 Super is a 120B-parameter open hybrid MoE model built on a hybrid Mamba-Transformer architecture. Activating just 12B parameters, it delivers maximum compute efficiency and accuracy for complex multi-agent applications. Additionally, it features an expansive context length of 262,144 tokens to handle large-scale inputs seamlessly.
Prices are per million tokens. Time to First Token and throughput are rolling averages measured on AIHubMix.
Promotional prices show the discounted rate; see each model page for promotion windows.
Daily traffic served through AIHubMix — how demand for each model is trending.
Measured on real AIHubMix traffic, hourly buckets. Gaps mean no traffic in that hour.
Estimate your monthly bill for the same workload on each model.
Monthly = daily × 30. Discounted rates applied where a promotion is active.
nemotron-3-nano-30b-a3b-free accepts 256,000 and nemotron-3-super-120b-a12b-free accepts 262,144 input tokens.
nemotron-3-nano-30b-a3b-free accepts text input and supports reasoning, tool calling and long context; nemotron-3-super-120b-a12b-free accepts text input and supports reasoning, tool calling and long context.
Yes. AIHubMix serves every model on this page behind one OpenAI-compatible endpoint, so switching between them is a one-line change to the model field — no second account, key or SDK.
Related model match-ups readers also look at.
AIHubMix