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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. GLM 5.3 FlashZ.AIRemove
  2. Llama 3.2 3B InstructMetaRemove
  3. GPT-6 Astra ProOpenAIRemove
glm-5.3-flash vs llama-3.2-3b-instruct vs gpt-6-astra-pro
AttributeGLM 5.3 Flashglm-5.3-flashLlama 3.2 3B Instructllama-3.2-3b-instructGPT-6 Astra Progpt-6-astra-pro
Pricing
Input$0.075 / 1M$0.324 / 1M$10.00 / 1M
Output$0.25 / 1M$0.324 / 1M$50.00 / 1M
Cache Write (5m)$0.075 / 1M$0.324 / 1M$10.00 / 1M
Cache Write (1h)$0.075 / 1M$0.324 / 1M$10.00 / 1M
Cache Read$0.075 / 1M$0.324 / 1M$10.00 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M
Context
Max context1M131.1K1M
Max outputN/AN/AN/A
Capabilities
VisionYesNoYes
Function CallingYesNoYes
JSON ModeYesNoYes
StreamingYesNoYes
Catalogue
ProviderZ.AIMetaOpenAI
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.