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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. GPT-6 Luna ProOpenAIRemove
  3. o4 Mini Deep ResearchOpenAIRemove
perceptron-mk1.5 vs gpt-6-luna-pro vs o4-mini-deep-research
AttributePerceptron Mk1.5perceptron-mk1.5GPT-6 Luna Progpt-6-luna-proo4 Mini Deep Researcho4-mini-deep-research
Pricing
Input$0.15 / 1M$0.10 / 1M$2.00 / 1M
Output$1.50 / 1M$0.50 / 1M$8.00 / 1M
Cache Write (5m)$0.15 / 1M$0.10 / 1M$2.00 / 1M
Cache Write (1h)$0.15 / 1M$0.10 / 1M$2.00 / 1M
Cache Read$0.15 / 1M$0.10 / 1M$2.00 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M
Context
Max context36.9K1.1M200K
Max outputN/AN/AN/A
Capabilities
VisionNoYesYes
Function CallingNoYesYes
JSON ModeNoYesYes
StreamingYesYesYes
Catalogue
ProviderPerceptronOpenAIOpenAI
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.GPT-6 Luna Pro uses the same underlying model as GPT-6 Luna, but runs with reasoning.mode set to pro for higher-quality responses on complex tasks. It combines Luna's speed and cost efficiency with deeper reasoning and more reliable multi-step execution, making it well suited for advanced coding, computer use, and agentic workflows where higher solution quality is needed without moving to a larger GPT-6 tier.o4-mini-deep-research is a faster, lower-cost version of OpenAI's deep-research model, designed for complex, multi-step investigations. It automatically relies on web_search for information gathering, which always adds extra usage cost.