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Nemotron 3 Nano Omni 30B A3B Reasoning Free API on NVIDIA NIM

Free API Verified
★★★★★★★★★★ 3.5 Benchmark-backed score

Open Nemotron omni model combining reasoning with text, vision, and audio

Free APINVIDIA NIM nativeReasoningTool callingVisionAudioReasoning
Context window 256K
Max output 66K
API format NVIDIA NIM native
Status Online
AI Recommendation

Should you use Nemotron 3 Nano Omni 30B A3B Reasoning?

Nemotron 3 Nano Omni 30B A3B Reasoning is listed for chat workloads and supports a 256K context window.

Use it when NVIDIA NIM's free tier is enough for evaluation, demos, or light production traffic.

Best for
  • Chat
Benchmark Overview

Benchmark signals for Nemotron 3 Nano Omni 30B A3B Reasoning

Measured data
Intelligence General reasoning and instruction following
21.4/100
Coding Programming and code generation
14.8/100
Agentic Tool use and multi-step tasks
23.9/100
Context Maximum listed context window
256K
Pricing

Nemotron 3 Nano Omni 30B A3B Reasoning pricing per 1M tokens

Free tier listed
Input $0 per 1M tokens
Output $0 per 1M tokens
Free access Available NVIDIA NIM
Typical Use Cases

Nemotron 3 Nano Omni 30B A3B Reasoning use cases

Chat

Nemotron 3 Nano Omni 30B A3B Reasoning is tagged for chat in this catalog.

FAQ

Nemotron 3 Nano Omni 30B A3B Reasoning free API FAQ

Is Nemotron 3 Nano Omni 30B A3B Reasoning free to use?

Nemotron 3 Nano Omni 30B A3B Reasoning is listed with free API access on NVIDIA NIM, subject to the provider's quota and account policy.

What is the Nemotron 3 Nano Omni 30B A3B Reasoning model ID?

The model ID shown in this catalog is nvidia/nemotron-3-nano-omni-30b-a3b-reasoning.

What context window does Nemotron 3 Nano Omni 30B A3B Reasoning support?

The listed context window is 256K tokens with up to 66K output tokens.

More about Nemotron 3 Nano Omni 30B A3B Reasoning

NVIDIA Nemotron 3 Nano Omni 30B A3B Reasoning is an open multimodal model with 30B total parameters (3B active via MoE), available free on OpenRouter. Accepts text, image, video, and audio input — built as a perception and context sub-agent for enterprise agent systems. Uses a Hybrid MoE Transformer-Mamba architecture with Conv3D video layers and Efficient Video Sampling (EVS) for ~2x higher throughput and 2.5x lower compute on video tasks vs. separate vision+speech pipelines. Up to 300K context, 16K reasoning budget. OpenAI-compatible. Free tier: 200 RPD.

For API keys, setup steps, and provider-level limits, see the NVIDIA NIM provider page.