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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. Grok 4.6xAIRemove
  3. Gemini 4 ArgonGoogleRemove
perceptron-mk1.5 vs grok-4.6 vs gemini-4-argon
AttributePerceptron Mk1.5perceptron-mk1.5Grok 4.6grok-4.6Gemini 4 Argongemini-4-argon
Pricing
Input$0.15 / 1M$2.00 / 1M$2.00 / 1M
Output$1.50 / 1M$6.00 / 1M$10.00 / 1M
Cache Write (5m)$0.15 / 1M$2.00 / 1M$2.00 / 1M
Cache Write (1h)$0.15 / 1M$2.00 / 1M$2.00 / 1M
Cache Read$0.15 / 1M$2.00 / 1M$2.00 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M
Context
Max context36.9K500K1M
Max outputN/AN/AN/A
Capabilities
VisionNoYesYes
Function CallingNoYesYes
JSON ModeNoYesYes
StreamingYesYesYes
Catalogue
ProviderPerceptronxAIGoogle
Categorychatchatchat
Charge typePay As You GoPay 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.Grok 4.6 is SpaceXAI's smartest frontier model, delivering top-tier performance across coding, knowledge work, and STEM reasoning. It is designed for demanding technical and professional workloads that require strong problem solving, accurate instruction following, and reliable execution. Optimized for software engineering, scientific analysis, and complex knowledge tasks, Grok 4.6 is well suited for advanced coding, research, and agentic workflows where high capability and reasoning quality are critical.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.