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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. Perceptron Mk1.5PerceptronRemove
  2. Nemotron 3.5 Super VL (Free)NVIDIARemove
  3. Gemini 3.1 Flash Image (Google Vertex AI)GoogleEnterprise & partner accessRemove
perceptron-mk1.5 vs nemotron-3.5-super-vl:free vs gemini-3.1-flash-image-vertex
AttributePerceptron Mk1.5perceptron-mk1.5Nemotron 3.5 Super VL (Free)nemotron-3.5-super-vl:freeGemini 3.1 Flash Image (Google Vertex AI)gemini-3.1-flash-image-vertex
Pricing
Input$0.15 / 1M$0 / 1M—
Output$1.50 / 1M$0 / 1M—
Cache Write (5m)$0.15 / 1M—Not applicable
Cache Write (1h)$0.15 / 1M—Not applicable
Cache Read$0.15 / 1M$0 / 1MNot applicable
Web Search$0 / 1M——
Cache Write—$0 / 1M—
Request——$0.067 / request
Billing——Pay Per Request
Context
Max context36.9K1MN/A
Max outputN/AN/AN/A
Capabilities
VisionNoYesYes
Function CallingNoYesNo
JSON ModeNoYesNo
StreamingYesYesNo
Catalogue
ProviderPerceptronNVIDIAGoogle
Categorychatchatimage
Charge typePay As You GoFreePay Per Request
Released2026-09-25——
Description
SummaryPerceptron Mk1.5 chat model that accepts audio input. Audio and text input are billed per token.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.Gemini 3.1 Flash Image served from Google Vertex AI. Billed per image at US$0.067. Call it through /v1/chat/completions with stream set to false; the image is returned in the message content as a base64 data URI. Maximum output resolution is 2K. A request for a larger size, such as 4K or 4096x4096, returns a 2K image with the same aspect ratio at the same price. When a size is reduced, the response carries an X-Image-Resolution-Capped header with the requested and delivered size, for example 4096x4096->2048x2048.