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

4 is the maximum. Remove one to add another.

perceptron-mk1.5 vs muse-spark-open vs mai-ds-r1:free vs gpt-6-astra
AttributePerceptron Mk1.5perceptron-mk1.5Muse Spark Openmuse-spark-openmai-ds-r1:freeNot in the catalogueGPT-6 Astragpt-6-astra
Pricing
Input$0.15 / 1M$1.25 / 1M—$10.00 / 1M
Output$1.50 / 1M$4.25 / 1M—$50.00 / 1M
Cache Write (5m)$0.15 / 1M$1.25 / 1M—$10.00 / 1M
Cache Write (1h)$0.15 / 1M$1.25 / 1M—$10.00 / 1M
Cache Read$0.15 / 1M$1.25 / 1M—$10.00 / 1M
Web Search$0 / 1M$0 / 1M—$0 / 1M
Context
Max context36.9K1M—1M
Max outputN/AN/A—N/A
Capabilities
VisionNoYes—Yes
Function CallingNoYes—Yes
JSON ModeNoYes—Yes
StreamingYesYes—Yes
Catalogue
ProviderPerceptronMeta—OpenAI
Categorychatchat—chat
Charge typePay As You GoPay As You Go—Pay As You Go
Released2026-09-25———
Description
SummaryPerceptron 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.—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.