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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. Muse Spark OpenMetaRemove
  3. GLM 5.3 FlashZ.AIRemove
mai-ds-r1:free vs muse-spark-open vs glm-5.3-flash
Attributemai-ds-r1:freeNot in the catalogueMuse Spark Openmuse-spark-openGLM 5.3 Flashglm-5.3-flash
Pricing
Input—$1.25 / 1M$0.075 / 1M
Output—$4.25 / 1M$0.25 / 1M
Cache Write (5m)—$1.25 / 1M$0.075 / 1M
Cache Write (1h)—$1.25 / 1M$0.075 / 1M
Cache Read—$1.25 / 1M$0.075 / 1M
Web Search—$0 / 1M$0 / 1M
Context
Max context—1M1M
Max output—N/AN/A
Capabilities
Vision—YesYes
Function Calling—YesYes
JSON Mode—YesYes
Streaming—YesYes
Catalogue
Provider—MetaZ.AI
Category—chatchat
Charge type—Pay As You GoPay As You Go
Released———
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.GLM-5.3-Flash is Z.AI's efficient native multimodal model, designed for coding and long-horizon agentic workflows. It combines strong multimodal capabilities with an architecture optimized for responsive, cost-efficient task execution. Built on a hybrid sparse and linear attention architecture, GLM-5.3-Flash maintains accurate long-context behavior while reducing computational overhead, making it well suited for coding agents, extended multi-step tasks, and scalable production workloads.