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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. mai-ds-r1:freeNot in the catalogueRemove
  3. Perceptron Mk1.5PerceptronRemove
nemotron-3.5-super-vl vs mai-ds-r1:free vs perceptron-mk1.5
AttributeNemotron 3.5 Super VLnemotron-3.5-super-vlmai-ds-r1:freeNot in the cataloguePerceptron Mk1.5perceptron-mk1.5
Pricing
Input$0.10 / 1M—$0.15 / 1M
Output$0.40 / 1M—$1.50 / 1M
Cache Write (5m)$0.10 / 1M—$0.15 / 1M
Cache Write (1h)$0.10 / 1M—$0.15 / 1M
Cache Read$0.10 / 1M—$0.15 / 1M
Web Search$0 / 1M—$0 / 1M
Context
Max context1M—36.9K
Max outputN/A—N/A
Capabilities
VisionYes—No
Function CallingYes—No
JSON ModeYes—No
StreamingYes—Yes
Catalogue
ProviderNVIDIA—Perceptron
Categorychat—chat
Charge typePay As You Go—Pay 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.—Perceptron Mk1.5 chat model that accepts audio input. Audio and text input are billed per token.