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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. GLM 5.3Z.AIRemove
  2. Claude Sonnet 5.5AnthropicRemove
  3. Muse Spark OpenMetaRemove
  4. GLM 5.3 FlashZ.AIRemove

4 is the maximum. Remove one to add another.

glm-5.3 vs claude-sonnet-5.5 vs muse-spark-open vs glm-5.3-flash
AttributeGLM 5.3glm-5.3Claude Sonnet 5.5claude-sonnet-5.5Muse Spark Openmuse-spark-openGLM 5.3 Flashglm-5.3-flash
Pricing
Input$1.40 / 1M$2.00 / 1M$1.25 / 1M$0.075 / 1M
Output$4.40 / 1M$10.00 / 1M$4.25 / 1M$0.25 / 1M
Cache Write (5m)$1.40 / 1M$2.50 / 1M$1.25 / 1M$0.075 / 1M
Cache Write (1h)$1.40 / 1M$4.00 / 1M$1.25 / 1M$0.075 / 1M
Cache Read$1.40 / 1M$0.10 / 1M$1.25 / 1M$0.075 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M$0 / 1M
Context
Max context1M1M1M1M
Max outputN/AN/AN/AN/A
Capabilities
VisionNoYesYesYes
Function CallingYesYesYesYes
JSON ModeYesYesYesYes
StreamingYesYesYesYes
Catalogue
ProviderZ.AIAnthropicMetaZ.AI
Categorychatchatchatchat
Charge typePay As You GoPay As You GoPay As You GoPay As You Go
Released————
Description
SummaryGLM-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.Claude Sonnet 5.5 is Anthropic's Sonnet-class model for well-scoped everyday work, serving as a direct upgrade to Sonnet 5. It excels at feature development, bug fixing, and creating polished documents, presentations, and spreadsheets, while offering clearer writing and communication than its predecessor.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.