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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-5.6 Terra ProOpenAIRemove
  3. Gemini 3.5 TranscribeGoogleRemove
perceptron-mk1.5 vs gpt-5.6-terra-pro vs gemini-3.5-transcribe
AttributePerceptron Mk1.5perceptron-mk1.5GPT-5.6 Terra Progpt-5.6-terra-proGemini 3.5 Transcribegemini-3.5-transcribe
Pricing
Input$0.15 / 1M$2.00 / 1M— Not priced per input token
Output$1.50 / 1M$12.00 / 1M— Not priced per output token
Cache Write (5m)$0.15 / 1M$2.00 / 1MNot applicable
Cache Write (1h)$0.15 / 1M$2.00 / 1MNot applicable
Cache Read$0.15 / 1M$2.00 / 1MNot applicable
Web Search$0 / 1M$0 / 1M$0 / 1M
Context
Max context36.9K1M98.3K
Max outputN/AN/AN/A
Capabilities
VisionNoYesYes
Function CallingNoYesYes
JSON ModeNoYesNo
StreamingYesYesNo
Catalogue
ProviderPerceptronOpenAIGoogle
Categorychatchatvoice
Charge typePay 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-5.6 Terra Pro uses the same underlying model as GPT-5.6 Terra, but runs with reasoning.mode set to pro to deliver higher-quality responses on complex tasks. Optimized for deeper reasoning and greater reliability, it is well suited for advanced coding, multi-step reasoning, and agentic workflows where improved accuracy and solution quality are more important than maximizing speed or minimizing cost.Google Gemini 3.5 Transcribe speech-to-text. Billed per input and output token.