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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 3.5 Super VLNVIDIARemove
  2. Nemotron 3.5 Lightning (Free)NVIDIARemove
  3. Universal-3.5 ProAssemblyAIRemove
nemotron-3.5-super-vl vs nemotron-3.5-lightning:free vs universal-3-5-pro
AttributeNemotron 3.5 Super VLnemotron-3.5-super-vlNemotron 3.5 Lightning (Free)nemotron-3.5-lightning:freeUniversal-3.5 Prouniversal-3-5-pro
Pricing
Input$0.10 / 1M$0 / 1M— Not priced per input token
Output$0.40 / 1M$0 / 1M— Not priced per output token
Cache Write (5m)$0.10 / 1M—Not applicable
Cache Write (1h)$0.10 / 1M—Not applicable
Cache Read$0.10 / 1M$0 / 1MNot applicable
Web Search$0 / 1M—$0 / 1M
Cache Write—$0 / 1M—
Context
Max context1M1MN/A
Max outputN/AN/AN/A
Capabilities
VisionYesYesNo
Function CallingYesYesNo
JSON ModeYesYesNo
StreamingYesYesNo
Catalogue
ProviderNVIDIANVIDIAAssemblyAI
Categorychatchatvoice
Charge typePay As You GoFreePay As You Go
Released——2026-09-22
Description
SummaryNVIDIA 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.NVIDIA Nemotron 3.5 Lightning is an open Mixture-of-Experts (MoE) model with 30B total parameters and 3B active per token, optimized for high-throughput agentic workloads and efficient inference. Its lightweight active compute and open design make it well suited for specialized agents, domain-specific customization, and scalable production deployments where speed, cost efficiency, and adaptability are key.AssemblyAI Universal-3.5 Pro speech-to-text. Billed per second of audio.