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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 1.3MetaRemove
  2. GLM 5.3Z.AIRemove
  3. Qwen3 Coder FlashAlibabaRemove
muse-spark-1.3 vs glm-5.3 vs qwen3-coder-flash
AttributeMuse Spark 1.3muse-spark-1.3GLM 5.3glm-5.3Qwen3 Coder Flashqwen3-coder-flash
Pricing
Input$1.25 / 1M$1.40 / 1M$0.30 / 1M
Output$4.25 / 1M$4.40 / 1M$1.50 / 1M
Cache Write (5m)$1.25 / 1M$1.40 / 1M$0.30 / 1M
Cache Write (1h)$1.25 / 1M$1.40 / 1M$0.30 / 1M
Cache Read$1.25 / 1M$1.40 / 1M$0.30 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M
Context
Max context1M1M128K
Max outputN/AN/AN/A
Capabilities
VisionYesNoNo
Function CallingYesYesYes
JSON ModeYesYesYes
StreamingYesYesYes
Catalogue
ProviderMetaZ.AIAlibaba
Categorychatchatchat
Charge typePay As You GoPay As You GoPay As You Go
Released
Description
SummaryMuse Spark 1.3 is Meta's multimodal reasoning model designed for long-running agentic, multi-agent, and coding workflows. It maintains context and information across extended tasks, enabling reliable execution in complex, multi-step environments. The model is optimized to resolve conflicting information, seek clarification or confirmation when necessary, and execute concisely, making it well suited for autonomous agents, collaborative multi-agent systems, and long-horizon software engineering workflows.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.Qwen3 Coder Flash is Alibaba's fast, cost-efficient coding agent model — a lighter version of Qwen3 Coder Plus — built for autonomous programming through tool calling and environment interaction, while still retaining strong general-purpose abilities.