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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 Sol ProOpenAIRemove
  3. Muse Spark OpenMetaRemove
perceptron-mk1.5 vs gpt-5.6-sol-pro vs muse-spark-open
AttributePerceptron Mk1.5perceptron-mk1.5GPT-5.6 Sol Progpt-5.6-sol-proMuse Spark Openmuse-spark-open
Pricing
Input$0.15 / 1M$5.00 / 1M$1.25 / 1M
Output$1.50 / 1M$30.00 / 1M$4.25 / 1M
Cache Write (5m)$0.15 / 1M$5.00 / 1M$1.25 / 1M
Cache Write (1h)$0.15 / 1M$5.00 / 1M$1.25 / 1M
Cache Read$0.15 / 1M$5.00 / 1M$1.25 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M
Context
Max context36.9K1M1M
Max outputN/AN/AN/A
Capabilities
VisionNoYesYes
Function CallingNoYesYes
JSON ModeNoYesYes
StreamingYesYesYes
Catalogue
ProviderPerceptronOpenAIMeta
Categorychatchatchat
Charge typePay As You GoPay As You GoPay As You Go
Released2026-09-25——
Description
SummaryPerceptron Mk1.5 chat model that accepts audio input. Audio and text input are billed per token.GPT-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.Muse Spark Open is an open-weight, coding-optimized model designed for agentic software engineering workflows. It delivers strong first-attempt accuracy, reliable tool calling, and deep codebase understanding, enabling effective development across real-world repositories. Optimized for autonomous coding agents, complex code navigation, and tool-driven development, Muse Spark Open is well suited for software engineering automation, debugging, code generation, and multi-step coding workflows where accuracy and reliable execution are essential.