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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. Muse Spark OpenMetaRemove
gpt-5.6-sol-pro vs perceptron-mk1.5 vs muse-spark-open
AttributeGPT-5.6 Sol Progpt-5.6-sol-proPerceptron Mk1.5perceptron-mk1.5Muse Spark Openmuse-spark-open
Pricing
Input$5.00 / 1M$0.15 / 1M$1.25 / 1M
Output$30.00 / 1M$1.50 / 1M$4.25 / 1M
Cache Write (5m)$5.00 / 1M$0.15 / 1M$1.25 / 1M
Cache Write (1h)$5.00 / 1M$0.15 / 1M$1.25 / 1M
Cache Read$5.00 / 1M$0.15 / 1M$1.25 / 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
ProviderOpenAIPerceptronMeta
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.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.