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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. Gemini 3.5 TranscribeGoogleRemove
  2. Perceptron Mk1.5PerceptronRemove
  3. GPT-5.6 Luna ProOpenAIRemove
gemini-3.5-transcribe vs perceptron-mk1.5 vs gpt-5.6-luna-pro
AttributeGemini 3.5 Transcribegemini-3.5-transcribePerceptron Mk1.5perceptron-mk1.5GPT-5.6 Luna Progpt-5.6-luna-pro
Pricing
Input— Not priced per input token$0.15 / 1M$0.20 / 1M
Output— Not priced per output token$1.50 / 1M$1.20 / 1M
Cache Write (5m)Not applicable$0.15 / 1M$0.20 / 1M
Cache Write (1h)Not applicable$0.15 / 1M$0.20 / 1M
Cache ReadNot applicable$0.15 / 1M$0.20 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M
Context
Max context98.3K36.9K1M
Max outputN/AN/AN/A
Capabilities
VisionYesNoYes
Function CallingYesNoYes
JSON ModeNoNoYes
StreamingNoYesYes
Catalogue
ProviderGooglePerceptronOpenAI
Categoryvoicechatchat
Charge typePay As You GoPay As You GoPay As You Go
Released2026-09-252026-09-25—
Description
SummaryGoogle Gemini 3.5 Transcribe speech-to-text. Billed per input and output token.Perceptron Mk1.5 chat model that accepts audio input. Audio and text input are billed per token.GPT-5.6 Luna Pro uses the same underlying model as GPT-5.6 Luna, but runs with reasoning.mode set to pro to deliver higher-quality responses on complex tasks. It is optimized for deeper reasoning, advanced coding, and multi-step agentic workflows, offering improved accuracy and solution quality while retaining the efficiency and scalability of the Luna tier.