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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. mai-ds-r1:freeNot in the catalogueRemove
  2. Muse Spark OpenMetaRemove
  3. Gemini 3.8 FlashGoogleRemove
  4. Perceptron Mk1.5PerceptronRemove

4 is the maximum. Remove one to add another.

mai-ds-r1:free vs muse-spark-open vs gemini-3.8-flash vs perceptron-mk1.5
Attributemai-ds-r1:freeNot in the catalogueMuse Spark Openmuse-spark-openGemini 3.8 Flashgemini-3.8-flashPerceptron Mk1.5perceptron-mk1.5
Pricing
Input—$1.25 / 1M$0.75 / 1M$0.15 / 1M
Output—$4.25 / 1M$3.75 / 1M$1.50 / 1M
Cache Write (5m)—$1.25 / 1M$0.75 / 1M$0.15 / 1M
Cache Write (1h)—$1.25 / 1M$0.75 / 1M$0.15 / 1M
Cache Read—$1.25 / 1M$0.75 / 1M$0.15 / 1M
Web Search—$0 / 1M$0 / 1M$0 / 1M
Context
Max context—1M1M36.9K
Max output—N/AN/AN/A
Capabilities
Vision—YesYesNo
Function Calling—YesYesNo
JSON Mode—YesYesNo
Streaming—YesYesYes
Catalogue
Provider—MetaGooglePerceptron
Category—chatchatchat
Charge type—Pay As You GoPay As You GoPay As You Go
Released———2026-09-25
Description
Summary—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.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.Perceptron Mk1.5 chat model that accepts audio input. Audio and text input are billed per token.