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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. Perceptron Mk1.5PerceptronRemove
  2. GPT-6 LunaOpenAIRemove
  3. GPT-6 Sol ProOpenAIRemove
  4. Aura-2DeepgramRemove

4 is the maximum. Remove one to add another.

perceptron-mk1.5 vs gpt-6-luna vs gpt-6-sol-pro vs aura-2
AttributePerceptron Mk1.5perceptron-mk1.5GPT-6 Lunagpt-6-lunaGPT-6 Sol Progpt-6-sol-proAura-2aura-2
Pricing
Input$0.15 / 1M$0.10 / 1M$2.00 / 1M$0 / 1M
Output$1.50 / 1M$0.50 / 1M$10.00 / 1M$0 / 1M
Cache Write (5m)$0.15 / 1M$0.10 / 1M$2.00 / 1MNot applicable
Cache Write (1h)$0.15 / 1M$0.10 / 1M$2.00 / 1MNot applicable
Cache Read$0.15 / 1M$0.10 / 1M$2.00 / 1MNot applicable
Web Search$0 / 1M$0 / 1M$0 / 1M$0 / 1M
Context
Max context36.9K1.1M1.1MN/A
Max outputN/AN/AN/AN/A
Capabilities
VisionNoYesYesNo
Function CallingNoYesYesNo
JSON ModeNoYesYesNo
StreamingYesYesYesNo
Catalogue
ProviderPerceptronOpenAIOpenAIDeepgram
Categorychatchatchatvoice
Charge typePay As You GoPay As You GoPay As You GoPay As You Go
Released2026-09-25——2026-07-16
Description
SummaryPerceptron Mk1.5 chat model that accepts audio input. Audio and text input are billed per token.GPT-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.GPT-6 Sol Pro uses the same underlying model as GPT-6 Sol, but runs with reasoning.mode set to pro for higher-quality responses on complex and demanding tasks. Optimized for deeper reasoning, greater accuracy, and more reliable multi-step execution, it is particularly well suited for agentic coding, long-horizon software engineering, professional analysis, and complex automated workflows where solution quality takes priority over latency and cost.Deepgram Aura-2 text-to-speech for real-time voice applications. Billed per input character.