Skip to content

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. mai-ds-r1:freeNot in the catalogueRemove
  2. Muse Spark OpenMetaRemove
  3. Perceptron Mk1.5PerceptronRemove
  4. GPT-6 AstraOpenAIRemove

4 is the maximum. Remove one to add another.

mai-ds-r1:free vs muse-spark-open vs perceptron-mk1.5 vs gpt-6-astra
Attributemai-ds-r1:freeNot in the catalogueMuse Spark Openmuse-spark-openPerceptron Mk1.5perceptron-mk1.5GPT-6 Astragpt-6-astra
Pricing
Input—$1.25 / 1M$0.15 / 1M$10.00 / 1M
Output—$4.25 / 1M$1.50 / 1M$50.00 / 1M
Cache Write (5m)—$1.25 / 1M$0.15 / 1M$10.00 / 1M
Cache Write (1h)—$1.25 / 1M$0.15 / 1M$10.00 / 1M
Cache Read—$1.25 / 1M$0.15 / 1M$10.00 / 1M
Web Search—$0 / 1M$0 / 1M$0 / 1M
Context
Max context—1M36.9K1M
Max output—N/AN/AN/A
Capabilities
Vision—YesNoYes
Function Calling—YesNoYes
JSON Mode—YesNoYes
Streaming—YesYesYes
Catalogue
Provider—MetaPerceptronOpenAI
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.Perceptron Mk1.5 chat model that accepts audio input. Audio and text input are billed per token.GPT-6 Astra is OpenAI's flagship model for demanding end-to-end professional work, designed for advanced analysis, software engineering, deep research, scientific tasks, and document creation. It is particularly strong in long-horizon agentic workflows, including tasks that require sustained reasoning, tool orchestration, and computer and browser use, making it well suited for complex autonomous workflows and production-grade knowledge work.