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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. Gemini 3.1 Flash Lite Image (Google Vertex AI)GoogleRemove
  3. mai-ds-r1:freeNot in the catalogueRemove
perceptron-mk1.5 vs gemini-3.1-flash-lite-image-vertex vs mai-ds-r1:free
AttributePerceptron Mk1.5perceptron-mk1.5Gemini 3.1 Flash Lite Image (Google Vertex AI)gemini-3.1-flash-lite-image-vertexmai-ds-r1:freeNot in the catalogue
Pricing
Input$0.15 / 1M——
Output$1.50 / 1M——
Cache Write (5m)$0.15 / 1MNot applicable—
Cache Write (1h)$0.15 / 1MNot applicable—
Cache Read$0.15 / 1MNot applicable—
Web Search$0 / 1M——
Request—$0.0336 / request—
Billing—Pay Per Request—
Context
Max context36.9KN/A—
Max outputN/AN/A—
Capabilities
VisionNoYes—
Function CallingNoNo—
JSON ModeNoNo—
StreamingYesNo—
Catalogue
ProviderPerceptronGoogle—
Categorychatimage—
Charge typePay As You GoPay Per Request—
Released2026-09-25——
Description
SummaryPerceptron Mk1.5 chat model that accepts audio input. Audio and text input are billed per token.Gemini 3.1 Flash Lite Image served from Google Vertex AI. Billed per image at US$0.0336. 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 1K. A request for a larger size returns a 1K 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.—