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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. GPT-5.6 Luna ProOpenAIRemove
  3. Perceptron Mk1.5PerceptronRemove
gemini-3.5-transcribe vs gpt-5.6-luna-pro vs perceptron-mk1.5
AttributeGemini 3.5 Transcribegemini-3.5-transcribeGPT-5.6 Luna Progpt-5.6-luna-proPerceptron Mk1.5perceptron-mk1.5
Pricing
Input— Not priced per input token$0.20 / 1M$0.15 / 1M
Output— Not priced per output token$1.20 / 1M$1.50 / 1M
Cache Write (5m)Not applicable$0.20 / 1M$0.15 / 1M
Cache Write (1h)Not applicable$0.20 / 1M$0.15 / 1M
Cache ReadNot applicable$0.20 / 1M$0.15 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M
Context
Max context98.3K1M36.9K
Max outputN/AN/AN/A
Capabilities
VisionYesYesNo
Function CallingYesYesNo
JSON ModeNoYesNo
StreamingNoYesYes
Catalogue
ProviderGoogleOpenAIPerceptron
Categoryvoicechatchat
Charge typePay As You GoPay As You GoPay As You Go
Released2026-09-25—2026-09-25
Description
SummaryGoogle Gemini 3.5 Transcribe speech-to-text. Billed per input and output 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.Perceptron Mk1.5 chat model that accepts audio input. Audio and text input are billed per token.