Skip to content

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. Sonar ReasoningPerplexityRemove
  3. GLM 5.3Z.AIRemove
  4. GPT-6 Astra ProOpenAIRemove

4 is the maximum. Remove one to add another.

glm-5.3-flash vs sonar-reasoning vs glm-5.3 vs gpt-6-astra-pro
AttributeGLM 5.3 Flashglm-5.3-flashSonar Reasoningsonar-reasoningGLM 5.3glm-5.3GPT-6 Astra Progpt-6-astra-pro
Pricing
Input$0.075 / 1M$1.00 / 1M$1.40 / 1M$10.00 / 1M
Output$0.25 / 1M$5.00 / 1M$4.40 / 1M$50.00 / 1M
Cache Write (5m)$0.075 / 1M$1.00 / 1M$1.40 / 1M$10.00 / 1M
Cache Write (1h)$0.075 / 1M$1.00 / 1M$1.40 / 1M$10.00 / 1M
Cache Read$0.075 / 1M$1.00 / 1M$1.40 / 1M$10.00 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M$0 / 1M
Context
Max context1M127K1M1M
Max outputN/AN/AN/AN/A
Capabilities
VisionYesNoNoYes
Function CallingYesNoYesYes
JSON ModeYesNoYesYes
StreamingYesNoYesYes
Catalogue
ProviderZ.AIPerplexityZ.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.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.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.