NVIDIA 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.
nemotron-3-nano-30b-a3b-free vs nemotron-3-nano-omni-30b-a3b-reasoning-free
Context lengths are 256,000 tokens on nemotron-3-nano-30b-a3b-free and 256,000 tokens on nemotron-3-nano-omni-30b-a3b-reasoning-free.
Developed by Nvidia, NVIDIA Nemotron™ 3 Nano Omni is a 30B-A3B open multimodal model designed to function as a perception and context sub-agent in enterprise agent systems. Supporting a massive context length of 256,000 tokens, it accepts and processes inputs across text, images, and video. This model provides powerful multimodal comprehension tailored for complex enterprise workflows.
Pricing & Specifications
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.
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FAQ
How large is each context window?
nemotron-3-nano-30b-a3b-free accepts 256,000 and nemotron-3-nano-omni-30b-a3b-reasoning-free accepts 256,000 input tokens.
What inputs and capabilities does each model support?
nemotron-3-nano-30b-a3b-free accepts text input and supports reasoning, tool calling and long context; nemotron-3-nano-omni-30b-a3b-reasoning-free accepts text and image input and supports reasoning, tool calling and long context.
Can I call nemotron-3-nano-30b-a3b-free and nemotron-3-nano-omni-30b-a3b-reasoning-free with the same API key?
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.
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