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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. GPT-6 Luna ProOpenAIRemove
  2. Perceptron Mk1.5PerceptronRemove
  3. Grok 4.20 Multi-Agent BetaxAIRemove
gpt-6-luna-pro vs perceptron-mk1.5 vs grok-4.20-multi-agent-beta
AttributeGPT-6 Luna Progpt-6-luna-proPerceptron Mk1.5perceptron-mk1.5Grok 4.20 Multi-Agent Betagrok-4.20-multi-agent-beta
Pricing
Input$0.10 / 1M$0.15 / 1M$2.00 / 1M
Output$0.50 / 1M$1.50 / 1M$6.00 / 1M
Cache Write (5m)$0.10 / 1M$0.15 / 1M$2.00 / 1M
Cache Write (1h)$0.10 / 1M$0.15 / 1M$2.00 / 1M
Cache Read$0.10 / 1M$0.15 / 1M$2.00 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M
Context
Max context1.1M36.9K2M
Max outputN/AN/AN/A
Capabilities
VisionYesNoYes
Function CallingYesNoYes
JSON ModeYesNoYes
StreamingYesYesYes
Catalogue
ProviderOpenAIPerceptronxAI
Categorychatchatchat
Charge typePay As You GoPay As You GoPay As You Go
Released—2026-09-25—
Description
SummaryGPT-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.Perceptron Mk1.5 chat model that accepts audio input. Audio and text input are billed per token.Grok 4.20 Multi-Agent Beta is a specialized variant of xAI's Grok 4.20 designed for collaborative, agent-based workflows. It enables multiple agents to operate in parallel, coordinating tool use and information synthesis to handle complex tasks. Optimized for deep research and multi-step problem solving, the model supports parallel reasoning, coordinated execution, and structured knowledge synthesis across large and complex workflows.