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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 Sol ProOpenAIRemove
  3. Aura-2DeepgramRemove
  4. Gemini 3.5 TranscribeGoogleRemove

4 is the maximum. Remove one to add another.

perceptron-mk1.5 vs gpt-6-sol-pro vs aura-2 vs gemini-3.5-transcribe
AttributePerceptron Mk1.5perceptron-mk1.5GPT-6 Sol Progpt-6-sol-proAura-2aura-2Gemini 3.5 Transcribegemini-3.5-transcribe
Pricing
Input$0.15 / 1M$2.00 / 1M$0 / 1M$0 / 1M
Output$1.50 / 1M$10.00 / 1M$0 / 1M$0 / 1M
Cache Write (5m)$0.15 / 1M$2.00 / 1MNot applicableNot applicable
Cache Write (1h)$0.15 / 1M$2.00 / 1MNot applicableNot applicable
Cache Read$0.15 / 1M$2.00 / 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
ProviderPerceptronOpenAIDeepgramGoogle
Categorychatchatvoicevoice
Charge typePay As You GoPay As You GoPay As You GoPay As You Go
Released2026-09-25—2026-07-162026-09-25
Description
SummaryPerceptron Mk1.5 chat model that accepts audio input. Audio and text input are billed per token.GPT-6 Sol Pro uses the same underlying model as GPT-6 Sol, but runs with reasoning.mode set to pro for higher-quality responses on complex and demanding tasks. Optimized for deeper reasoning, greater accuracy, and more reliable multi-step execution, it is particularly well suited for agentic coding, long-horizon software engineering, professional analysis, and complex automated workflows where solution quality takes priority over latency and cost.Deepgram Aura-2 text-to-speech for real-time voice applications. Billed per input character.Google Gemini 3.5 Transcribe speech-to-text. Billed per input and output token.