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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 LightningNVIDIARemove
  3. Perceptron Mk1.5PerceptronRemove
nemotron-3.5-super-vl vs nemotron-3.5-lightning vs perceptron-mk1.5
AttributeNemotron 3.5 Super VLnemotron-3.5-super-vlNemotron 3.5 Lightningnemotron-3.5-lightningPerceptron Mk1.5perceptron-mk1.5
Pricing
Input$0.10 / 1M— Not priced per input token$0.15 / 1M
Output$0.40 / 1M— Not priced per output token$1.50 / 1M
Cache Write (5m)$0.10 / 1M$0.00 / 1M$0.15 / 1M
Cache Write (1h)$0.10 / 1M$0.00 / 1M$0.15 / 1M
Cache Read$0.10 / 1M$0.00 / 1M$0.15 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M
Context
Max context1M1M36.9K
Max outputN/AN/AN/A
Capabilities
VisionYesYesNo
Function CallingYesYesNo
JSON ModeYesYesNo
StreamingYesYesYes
Catalogue
ProviderNVIDIANVIDIAPerceptron
Categorychatchatchat
Charge typePay As You GoPay As You GoPay As You Go
Released——2026-09-25
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.Perceptron Mk1.5 chat model that accepts audio input. Audio and text input are billed per token.