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Compare models

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 4 ArgonGoogleRemove
  4. Gemini 3.8 FlashGoogleRemove

4 is the maximum. Remove one to add another.

perceptron-mk1.5 vs mai-ds-r1:free vs gemini-4-argon vs gemini-3.8-flash
AttributePerceptron Mk1.5perceptron-mk1.5mai-ds-r1:freeNot in the catalogueGemini 4 Argongemini-4-argonGemini 3.8 Flashgemini-3.8-flash
Pricing
Input$0.15 / 1M—$2.00 / 1M$0.75 / 1M
Output$1.50 / 1M—$10.00 / 1M$3.75 / 1M
Cache Write (5m)$0.15 / 1M—$2.00 / 1M$0.75 / 1M
Cache Write (1h)$0.15 / 1M—$2.00 / 1M$0.75 / 1M
Cache Read$0.15 / 1M—$2.00 / 1M$0.75 / 1M
Web Search$0 / 1M—$0 / 1M$0 / 1M
Context
Max context36.9K—1M1M
Max outputN/A—N/AN/A
Capabilities
VisionNo—YesYes
Function CallingNo—YesYes
JSON ModeNo—YesYes
StreamingYes—YesYes
Catalogue
ProviderPerceptron—GoogleGoogle
Categorychat—chatchat
Charge typePay As You Go—Pay As You GoPay As You Go
Released2026-09-25———
Description
SummaryPerceptron Mk1.5 chat model that accepts audio input. Audio and text input are billed per token.—Gemini 4 Argon is Google's flagship reasoning model, built for complex software engineering, deep mathematical and scientific problem solving, and autonomous multi-step agents. Google trained it to keep context across long, multi-step tasks and to turn long documents mixing text, tables, charts and images into a single grounded output. It leads the Vals Index across finance, legal, coding and tax work, and supports long decode of up to 1M output tokens in a single response.Gemini 3.8 Flash is Google's most intelligent Flash-class model, delivering significant improvements over Gemini 3.7 Flash across software engineering, agentic workflows, and complex multi-step reasoning. Designed to combine strong capability with Flash-tier efficiency, it is well suited for coding assistants, autonomous agents, and high-throughput production workflows that require responsive performance without sacrificing reasoning quality.