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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. Moonshot V1 128kMoonshot AIRemove
  2. GLM 5.3 FlashZ.AIRemove
  3. GPT-6 Astra ProOpenAIRemove
moonshot-v1-128k vs glm-5.3-flash vs gpt-6-astra-pro
AttributeMoonshot V1 128kmoonshot-v1-128kGLM 5.3 Flashglm-5.3-flashGPT-6 Astra Progpt-6-astra-pro
Pricing
Input$8.24 / 1M$0.075 / 1M$10.00 / 1M
Output$8.24 / 1M$0.25 / 1M$50.00 / 1M
Cache Write (5m)$8.24 / 1M$0.075 / 1M$10.00 / 1M
Cache Write (1h)$8.24 / 1M$0.075 / 1M$10.00 / 1M
Cache Read$8.24 / 1M$0.075 / 1M$10.00 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M
Context
Max context128K1M1M
Max outputN/AN/AN/A
Capabilities
VisionNoYesYes
Function CallingNoYesYes
JSON ModeNoYesYes
StreamingNoYesYes
Catalogue
ProviderMoonshot AIZ.AIOpenAI
Categorychatchatchat
Charge typePay 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.GPT-6 Astra Pro uses the same underlying model as GPT-6 Astra, but runs with reasoning.mode set to pro for higher-quality responses on complex tasks. Optimized for deeper reasoning, greater accuracy, and more reliable multi-step execution, it is well suited for demanding coding, analysis, and agentic workflows where solution quality takes priority over speed and cost.