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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. Muse Spark OpenMetaRemove
  2. GLM 5.3Z.AIRemove
  3. Universal-3.5 ProAssemblyAIRemove
muse-spark-open vs glm-5.3 vs universal-3-5-pro
AttributeMuse Spark Openmuse-spark-openGLM 5.3glm-5.3Universal-3.5 Prouniversal-3-5-pro
Pricing
Input$1.25 / 1M$1.40 / 1M— Not priced per input token
Output$4.25 / 1M$4.40 / 1M— Not priced per output token
Cache Write (5m)$1.25 / 1M$1.40 / 1MNot applicable
Cache Write (1h)$1.25 / 1M$1.40 / 1MNot applicable
Cache Read$1.25 / 1M$1.40 / 1MNot applicable
Web Search$0 / 1M$0 / 1M$0 / 1M
Context
Max context1M1MN/A
Max outputN/AN/AN/A
Capabilities
VisionYesNoNo
Function CallingYesYesNo
JSON ModeYesYesNo
StreamingYesYesNo
Catalogue
ProviderMetaZ.AIAssemblyAI
Categorychatchatvoice
Charge typePay As You GoPay As You GoPay As You Go
Released——2026-09-22
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.GLM-5.3 is Z.ai's large-scale reasoning model designed for complex software engineering and long-horizon agentic workflows. It supports text input and output with a 1M-token context window, enabling sustained reasoning across large codebases and extended multi-step tasks. Building on GLM-5.2, it delivers stronger coding performance while improving the balance between capability and token efficiency, making it well suited for autonomous coding agents, large-scale engineering workflows, and complex task execution.AssemblyAI Universal-3.5 Pro speech-to-text. Billed per second of audio.