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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. mai-ds-r1:freeNot in the catalogueRemove
  3. Gemini 3.1 Flash Lite Image (Google Vertex AI)GoogleRemove
perceptron-mk1.5 vs mai-ds-r1:free vs gemini-3.1-flash-lite-image-vertex
AttributePerceptron Mk1.5perceptron-mk1.5mai-ds-r1:freeNot in the catalogueGemini 3.1 Flash Lite Image (Google Vertex AI)gemini-3.1-flash-lite-image-vertex
Pricing
Input$0.15 / 1M——
Output$1.50 / 1M——
Cache Write (5m)$0.15 / 1M—Not applicable
Cache Write (1h)$0.15 / 1M—Not applicable
Cache Read$0.15 / 1M—Not applicable
Web Search$0 / 1M——
Request——$0.0336 / request
Billing——Pay Per Request
Context
Max context36.9K—N/A
Max outputN/A—N/A
Capabilities
VisionNo—Yes
Function CallingNo—No
JSON ModeNo—No
StreamingYes—No
Catalogue
ProviderPerceptron—Google
Categorychat—image
Charge typePay As You Go—Pay 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.