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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. GPT-6 LunaOpenAIRemove
  2. Grok 4.20 Multi-Agent BetaxAIRemove
  3. Perceptron Mk1.5PerceptronRemove
gpt-6-luna vs grok-4.20-multi-agent-beta vs perceptron-mk1.5
AttributeGPT-6 Lunagpt-6-lunaGrok 4.20 Multi-Agent Betagrok-4.20-multi-agent-betaPerceptron Mk1.5perceptron-mk1.5
Pricing
Input$0.10 / 1M$2.00 / 1M$0.15 / 1M
Output$0.50 / 1M$6.00 / 1M$1.50 / 1M
Cache Write (5m)$0.10 / 1M$2.00 / 1M$0.15 / 1M
Cache Write (1h)$0.10 / 1M$2.00 / 1M$0.15 / 1M
Cache Read$0.10 / 1M$2.00 / 1M$0.15 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M
Context
Max context1.1M2M36.9K
Max outputN/AN/AN/A
Capabilities
VisionYesYesNo
Function CallingYesYesNo
JSON ModeYesYesNo
StreamingYesYesYes
Catalogue
ProviderOpenAIxAIPerceptron
Categorychatchatchat
Charge typePay As You GoPay As You GoPay As You Go
Released——2026-09-25
Description
SummaryGPT-6 Luna is the fast, cost-efficient model in OpenAI's GPT-6 series, optimized for high-volume and latency-sensitive workloads such as chat, classification, and lightweight agentic tasks. It combines low-cost, responsive inference with the GPT-6 family’s improvements in factual reliability and clear, concise communication. At higher reasoning effort, GPT-6 Luna can also handle complex software engineering and computer-use workflows that previously required a Sol-tier model, making it a versatile choice for scalable production applications that need to balance speed, cost, and capability.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.Perceptron Mk1.5 chat model that accepts audio input. Audio and text input are billed per token.