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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. GPT-5.6 Sol ProOpenAIRemove
  2. Gemini 3.5 TranscribeGoogleRemove
  3. Perceptron Mk1.5PerceptronRemove
gpt-5.6-sol-pro vs gemini-3.5-transcribe vs perceptron-mk1.5
AttributeGPT-5.6 Sol Progpt-5.6-sol-proGemini 3.5 Transcribegemini-3.5-transcribePerceptron Mk1.5perceptron-mk1.5
Pricing
Input$5.00 / 1M— Not priced per input token$0.15 / 1M
Output$30.00 / 1M— Not priced per output token$1.50 / 1M
Cache Write (5m)$5.00 / 1MNot applicable$0.15 / 1M
Cache Write (1h)$5.00 / 1MNot applicable$0.15 / 1M
Cache Read$5.00 / 1MNot applicable$0.15 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M
Context
Max context1M98.3K36.9K
Max outputN/AN/AN/A
Capabilities
VisionYesYesNo
Function CallingYesYesNo
JSON ModeYesNoNo
StreamingYesNoYes
Catalogue
ProviderOpenAIGooglePerceptron
Categorychatvoicechat
Charge typePay As You GoPay As You GoPay As You Go
Released—2026-09-252026-09-25
Description
SummaryGPT-5.6 Sol Pro uses the same underlying model as GPT-5.6 Sol, but runs with reasoning.mode set to pro for higher-quality responses on complex tasks. Optimized for deeper reasoning and more reliable execution, it is particularly well suited for advanced coding, long-horizon problem solving, and agentic workflows where accuracy and solution quality take priority over speed and cost.Google 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.