Skip to content

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 LunaOpenAIRemove
  2. Perceptron Mk1.5PerceptronRemove
  3. GPT-5.6 Terra ProOpenAIRemove
gpt-6-luna vs perceptron-mk1.5 vs gpt-5.6-terra-pro
AttributeGPT-6 Lunagpt-6-lunaPerceptron Mk1.5perceptron-mk1.5GPT-5.6 Terra Progpt-5.6-terra-pro
Pricing
Input$0.10 / 1M$0.15 / 1M$2.00 / 1M
Output$0.50 / 1M$1.50 / 1M$12.00 / 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 context1.1M36.9K1M
Max outputN/AN/AN/A
Capabilities
VisionYesNoYes
Function CallingYesNoYes
JSON ModeYesNoYes
StreamingYesYesYes
Catalogue
ProviderOpenAIPerceptronOpenAI
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.Perceptron Mk1.5 chat model that accepts audio input. Audio and text input are billed per token.GPT-5.6 Terra Pro uses the same underlying model as GPT-5.6 Terra, but runs with reasoning.mode set to pro to deliver higher-quality responses on complex tasks. Optimized for deeper reasoning and greater reliability, it is well suited for advanced coding, multi-step reasoning, and agentic workflows where improved accuracy and solution quality are more important than maximizing speed or minimizing cost.