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Compare models

Put up to 4 models beside each other — token prices, context windows, capabilities and provider, from the same catalogue the model pages read.

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

4 is the maximum. Remove one to add another.

muse-spark-open vs perceptron-mk1.5 vs mai-ds-r1:free vs gemini-3.8-flash
AttributeMuse Spark Openmuse-spark-openPerceptron Mk1.5perceptron-mk1.5mai-ds-r1:freeNot in the catalogueGemini 3.8 Flashgemini-3.8-flash
Pricing
Input$1.25 / 1M$0.15 / 1M—$0.75 / 1M
Output$4.25 / 1M$1.50 / 1M—$3.75 / 1M
Cache Write (5m)$1.25 / 1M$0.15 / 1M—$0.75 / 1M
Cache Write (1h)$1.25 / 1M$0.15 / 1M—$0.75 / 1M
Cache Read$1.25 / 1M$0.15 / 1M—$0.75 / 1M
Web Search$0 / 1M$0 / 1M—$0 / 1M
Context
Max context1M36.9K—1M
Max outputN/AN/A—N/A
Capabilities
VisionYesNo—Yes
Function CallingYesNo—Yes
JSON ModeYesNo—Yes
StreamingYesYes—Yes
Catalogue
ProviderMetaPerceptron—Google
Categorychatchat—chat
Charge typePay As You GoPay As You Go—Pay As You Go
Released—2026-09-25——
Description
SummaryMuse 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.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.