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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. Gemini 4 ArgonGoogleRemove
  3. Muse Spark OpenMetaRemove
  4. Perceptron Mk1.5PerceptronRemove

4 is the maximum. Remove one to add another.

mai-ds-r1:free vs gemini-4-argon vs muse-spark-open vs perceptron-mk1.5
Attributemai-ds-r1:freeNot in the catalogueGemini 4 Argongemini-4-argonMuse Spark Openmuse-spark-openPerceptron Mk1.5perceptron-mk1.5
Pricing
Input—$2.00 / 1M$1.25 / 1M$0.15 / 1M
Output—$10.00 / 1M$4.25 / 1M$1.50 / 1M
Cache Write (5m)—$2.00 / 1M$1.25 / 1M$0.15 / 1M
Cache Write (1h)—$2.00 / 1M$1.25 / 1M$0.15 / 1M
Cache Read—$2.00 / 1M$1.25 / 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—GoogleMetaPerceptron
Category—chatchatchat
Charge type—Pay As You GoPay As You GoPay As You Go
Released———2026-09-25
Description
Summary—Gemini 4 Argon is Google's flagship reasoning model, built for complex software engineering, deep mathematical and scientific problem solving, and autonomous multi-step agents. Google trained it to keep context across long, multi-step tasks and to turn long documents mixing text, tables, charts and images into a single grounded output. It leads the Vals Index across finance, legal, coding and tax work, and supports long decode of up to 1M output tokens in a single response.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.Perceptron Mk1.5 chat model that accepts audio input. Audio and text input are billed per token.