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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 SolOpenAIRemove
  4. Gemini 3.5 TranscribeGoogleRemove

4 is the maximum. Remove one to add another.

perceptron-mk1.5 vs gpt-6-luna vs gpt-6-sol vs gemini-3.5-transcribe
AttributePerceptron Mk1.5perceptron-mk1.5GPT-6 Lunagpt-6-lunaGPT-6 Solgpt-6-solGemini 3.5 Transcribegemini-3.5-transcribe
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 context36.9K1.1M1.1M98.3K
Max outputN/AN/AN/AN/A
Capabilities
VisionNoYesYesYes
Function CallingNoYesYesYes
JSON ModeNoYesYesNo
StreamingYesYesYesNo
Catalogue
ProviderPerceptronOpenAIOpenAIGoogle
Categorychatchatchatvoice
Charge typePay As You GoPay As You GoPay As You GoPay As You Go
Released2026-09-25——2026-09-25
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 is OpenAI's cost-efficient high-end model in the GPT-6 series, positioned between the flagship GPT-6 Astra and the fast GPT-6 Luna tier. It is designed for professional knowledge work, agentic coding, business workflow automation, and computer-use tasks, with particular strength in long-horizon software engineering across real-world codebases. GPT-6 Sol approaches Astra-level factual reliability at a significantly lower cost, while sharing its clear and concise communication style. This balance of capability, reliability, and efficiency makes it well suited for production agents, complex engineering workflows, and scalable professional applicationsGoogle Gemini 3.5 Transcribe speech-to-text. Billed per input and output token.