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Put up to 4 models beside each other — token prices, context windows, capabilities and provider, from the same catalogue the model pages read.

  1. Nemotron 3 Nano Omni (Free)NVIDIARemove
  2. Nemotron 3.5 Super VLNVIDIARemove
nemotron-3-nano-omni-30b-a3b-reasoning:free vs nemotron-3.5-super-vl
AttributeNemotron 3 Nano Omni (Free)nemotron-3-nano-omni-30b-a3b-reasoning:freeNemotron 3.5 Super VLnemotron-3.5-super-vl
Pricing
Input$0 / 1M$0.10 / 1M
Output$0 / 1M$0.40 / 1M
Cache Write$0 / 1M—
Cache Read$0 / 1M$0.10 / 1M
Cache Write (5m)—$0.10 / 1M
Cache Write (1h)—$0.10 / 1M
Web Search—$0 / 1M
Context
Max context256K1M
Max outputN/AN/A
Capabilities
VisionYesYes
Function CallingYesYes
JSON ModeYesYes
StreamingYesYes
Catalogue
ProviderNVIDIANVIDIA
Categorychatchat
Charge typeFreePay As You Go
Released——
Description
SummaryNVIDIA Nemotron 3 Nano Omni is an open 30B-A3B multimodal model designed as a perception and context sub-agent for enterprise agent systems. It supports text, image, video, and audio inputs with text output, enabling unified multimodal reasoning within a single inference loop. Built on a hybrid MoE Transformer–Mamba architecture with Conv3D video layers and Efficient Video Sampling (EVS), it delivers significantly improved efficiency for video reasoning—achieving ~2× higher throughput and 2.5× lower compute compared to separate pipelines. With up to 300K context length and extended thinking support, it is well suited for scalable, multimodal agent workflows.NVIDIA Nemotron 3.5 Super VL is an open multimodal Mixture-of-Experts (MoE) model featuring 120B total parameters with 12B activated per token. Built on a hybrid Mamba–Transformer architecture with multi-token prediction, it supports text, images, documents, GUI screenshots, and video inputs, along with a 1M-token context window for complex, long-horizon workflows. Optimized for multimodal reasoning, visual understanding, and agentic tool use, the model supports configurable reasoning modes and token budgets. It is well suited for document intelligence, web research, coding validation, customer service, GUI analysis, and video understanding, enabling efficient, long-running multimodal agent applications.