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NVIDIA: Nemotron 3 Nano Omni (free)Free variant

nvidia/nemotron-3-nano-omni-30b-a3b-reasoning:free

Released Apr 28, 2026256,000 context$0/M input tokens$0/M output tokens

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. It accepts text, image, video, and audio inputs and produces text output, enabling agents to perceive and reason across modalities in a single inference loop.

Built on a hybrid MoE Transformer-Mamba architecture with Conv3D video layers and Efficient Video Sampling (EVS), it delivers approximately 2× higher throughput and 2.5× lower compute for video reasoning versus separate vision + speech pipelines. It supports up to 300K context length and a 16,384 reasoning budget, with extended thinking enabled via reasoning.enabled on OpenRouter.

Performance for Nemotron 3 Nano Omni (free)

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Effective Pricing for Nemotron 3 Nano Omni (free)

Actual cost per million tokens across providers over the past hour

Apps using Nemotron 3 Nano Omni (free)

Top public apps this month

Recent activity on Nemotron 3 Nano Omni (free)

Total usage per day on OpenRouter

Prompt
1.23B
Reasoning
93.4M
Completion
37.9M

Prompt tokens measure input size. Reasoning tokens show internal thinking before a response. Completion tokens reflect total output length.

Uptime stats for Nemotron 3 Nano Omni (free)

Uptime stats for Nemotron 3 Nano Omni (free) across all providers

Providers for Nemotron 3 Nano Omni (free)

OpenRouter routes requests to the best providers that are able to handle your prompt size and parameters, with fallbacks to maximize uptime.

Sample code and API for Nemotron 3 Nano Omni (free)

OpenRouter normalizes requests and responses across providers for you.

OpenRouter supports reasoning-enabled models that can show their step-by-step thinking process. Use the reasoning parameter in your request to enable reasoning, and access the reasoning_details array in the response to see the model's internal reasoning before the final answer. When continuing a conversation, preserve the complete reasoning_details when passing messages back to the model so it can continue reasoning from where it left off. Learn more about reasoning tokens.

In the examples below, the OpenRouter-specific headers are optional. Setting them allows your app to appear on the OpenRouter leaderboards.

Using third-party SDKs

For information about using third-party SDKs and frameworks with OpenRouter, please see our frameworks documentation.

See the Request docs for all possible fields, and Parameters for explanations of specific sampling parameters.