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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. MAI-Transcribe 2MicrosoftRemove
  4. Gemini 3.5 TranscribeGoogleRemove

4 is the maximum. Remove one to add another.

perceptron-mk1.5 vs gpt-6-luna vs mai-transcribe-2 vs gemini-3.5-transcribe
AttributePerceptron Mk1.5perceptron-mk1.5GPT-6 Lunagpt-6-lunaMAI-Transcribe 2mai-transcribe-2Gemini 3.5 Transcribegemini-3.5-transcribe
Pricing
Input$0.15 / 1M$0.10 / 1M$0 / 1M$0 / 1M
Output$1.50 / 1M$0.50 / 1M$0 / 1M$0 / 1M
Cache Write (5m)$0.15 / 1M$0.10 / 1MNot applicableNot applicable
Cache Write (1h)$0.15 / 1M$0.10 / 1MNot applicableNot applicable
Cache Read$0.15 / 1M$0.10 / 1MNot applicableNot applicable
Web Search$0 / 1M$0 / 1M$0 / 1M$0 / 1M
Context
Max context36.9K1.1MN/A98.3K
Max outputN/AN/AN/AN/A
Capabilities
VisionNoYesNoYes
Function CallingNoYesNoYes
JSON ModeNoYesNoNo
StreamingYesYesNoNo
Catalogue
ProviderPerceptronOpenAIMicrosoftGoogle
Categorychatchatvoicevoice
Charge typePay As You GoPay As You GoPay As You GoPay As You Go
Released2026-09-25—2026-09-032026-09-25
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.Microsoft MAI-Transcribe-2 speech-to-text. Billed per second of audio.Google Gemini 3.5 Transcribe speech-to-text. Billed per input and output token.