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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. GPT-6 Astra ProOpenAIRemove
  2. Gemini 2.5 Flash LiteGoogleRemove
  3. GLM 5.3 FlashZ.AIRemove
gpt-6-astra-pro vs gemini-2.5-flash-lite vs glm-5.3-flash
AttributeGPT-6 Astra Progpt-6-astra-proGemini 2.5 Flash Litegemini-2.5-flash-liteGLM 5.3 Flashglm-5.3-flash
Pricing
Input$10.00 / 1M$0.15 / 1M$0.075 / 1M
Output$50.00 / 1M$0.60 / 1M$0.25 / 1M
Cache Write (5m)$10.00 / 1M$0.15 / 1M$0.075 / 1M
Cache Write (1h)$10.00 / 1M$0.15 / 1M$0.075 / 1M
Cache Read$10.00 / 1M$0.15 / 1M$0.075 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M
Context
Max context1M1.0M1M
Max outputN/AN/AN/A
Capabilities
VisionYesYesYes
Function CallingYesYesYes
JSON ModeYesYesYes
StreamingYesYesYes
Catalogue
ProviderOpenAIGoogleZ.AI
Categorychatchatchat
Charge typePay As You GoPay As You GoPay As You Go
Released
Description
SummaryGPT-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.Gemini 2.5 Flash-Lite is a smaller, low-latency model focused on speed and cost efficiency. It delivers faster generation and better benchmark performance than earlier Flash models. Thinking mode is off by default for maximum speed, but developers can enable it when they want deeper reasoning at a higher cost.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.