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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. Perceptron Mk1.5PerceptronRemove
  3. Gemini 3.8 FlashGoogleRemove
gpt-5.6-sol-pro vs perceptron-mk1.5 vs gemini-3.8-flash
AttributeGPT-5.6 Sol Progpt-5.6-sol-proPerceptron Mk1.5perceptron-mk1.5Gemini 3.8 Flashgemini-3.8-flash
Pricing
Input$5.00 / 1M$0.15 / 1M$0.75 / 1M
Output$30.00 / 1M$1.50 / 1M$3.75 / 1M
Cache Write (5m)$5.00 / 1M$0.15 / 1M$0.75 / 1M
Cache Write (1h)$5.00 / 1M$0.15 / 1M$0.75 / 1M
Cache Read$5.00 / 1M$0.15 / 1M$0.75 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M
Context
Max context1M36.9K1M
Max outputN/AN/AN/A
Capabilities
VisionYesNoYes
Function CallingYesNoYes
JSON ModeYesNoYes
StreamingYesYesYes
Catalogue
ProviderOpenAIPerceptronGoogle
Categorychatchatchat
Charge typePay As You GoPay As You GoPay As You Go
Released—2026-09-25—
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.Perceptron Mk1.5 chat model that accepts audio input. Audio and text input are billed per token.Gemini 3.8 Flash is Google's most intelligent Flash-class model, delivering significant improvements over Gemini 3.7 Flash across software engineering, agentic workflows, and complex multi-step reasoning. Designed to combine strong capability with Flash-tier efficiency, it is well suited for coding assistants, autonomous agents, and high-throughput production workflows that require responsive performance without sacrificing reasoning quality.