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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 5.3 FlashZ.AIRemove
  2. Muse Spark 1.3MetaRemove
  3. GLM 5Z.AIRemove
  4. GPT-6 AstraOpenAIRemove

4 is the maximum. Remove one to add another.

glm-5.3-flash vs muse-spark-1.3 vs glm-5 vs gpt-6-astra
AttributeGLM 5.3 Flashglm-5.3-flashMuse Spark 1.3muse-spark-1.3GLM 5glm-5GPT-6 Astragpt-6-astra
Pricing
Input$0.075 / 1M$1.25 / 1M$0.60 / 1M$10.00 / 1M
Output$0.25 / 1M$4.25 / 1M$2.20 / 1M$50.00 / 1M
Cache Write (5m)$0.075 / 1M$1.25 / 1M$0.60 / 1M$10.00 / 1M
Cache Write (1h)$0.075 / 1M$1.25 / 1M$0.60 / 1M$10.00 / 1M
Cache Read$0.075 / 1M$1.25 / 1M$0.60 / 1M$10.00 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M$0 / 1M
Context
Max context1M1M202.8K1M
Max outputN/AN/AN/AN/A
Capabilities
VisionYesYesYesYes
Function CallingYesYesYesYes
JSON ModeYesYesYesYes
StreamingYesYesYesYes
Catalogue
ProviderZ.AIMetaZ.AIOpenAI
Categorychatchatchatchat
Charge typePay As You GoPay As You GoPay As You GoPay As You Go
Released
Description
SummaryGLM-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.Muse 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 is Z.AI's flagship open-source foundation model, engineered for complex systems design and long-horizon agent workflows. Built with expert developers in mind, it delivers production-grade performance on large-scale programming tasks, rivaling leading closed-source models. With strong agentic planning, deep backend reasoning, and iterative self-correction capabilities, GLM-5 extends beyond traditional code generation to support full-system construction and autonomous execution, making it well suited for advanced engineering and agent-driven development environments.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.