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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 LunaOpenAIRemove
  2. Perceptron Mk1.5PerceptronRemove
  3. S2 ProFish AudioRemove
  4. GPT-6 AstraOpenAIRemove

4 is the maximum. Remove one to add another.

gpt-6-luna vs perceptron-mk1.5 vs s2-pro vs gpt-6-astra
AttributeGPT-6 Lunagpt-6-lunaPerceptron Mk1.5perceptron-mk1.5S2 Pros2-proGPT-6 Astragpt-6-astra
Pricing
Input$0.10 / 1M$0.15 / 1M$0 / 1M$10.00 / 1M
Output$0.50 / 1M$1.50 / 1M$0 / 1M$50.00 / 1M
Cache Write (5m)$0.10 / 1M$0.15 / 1MNot applicable$10.00 / 1M
Cache Write (1h)$0.10 / 1M$0.15 / 1MNot applicable$10.00 / 1M
Cache Read$0.10 / 1M$0.15 / 1MNot applicable$10.00 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M$0 / 1M
Context
Max context1.1M36.9KN/A1M
Max outputN/AN/AN/AN/A
Capabilities
VisionYesNoNoYes
Function CallingYesNoNoYes
JSON ModeYesNoNoYes
StreamingYesYesNoYes
Catalogue
ProviderOpenAIPerceptronFish AudioOpenAI
Categorychatchatvoicechat
Charge typePay As You GoPay As You GoPay As You GoPay As You Go
Released—2026-09-252026-07-29—
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.Fish Audio S2 Pro text-to-speech. Billed per UTF-8 byte of input text.GPT-6 Astra is OpenAI's flagship model for demanding end-to-end professional work, designed for advanced analysis, software engineering, deep research, scientific tasks, and document creation. It is particularly strong in long-horizon agentic workflows, including tasks that require sustained reasoning, tool orchestration, and computer and browser use, making it well suited for complex autonomous workflows and production-grade knowledge work.