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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 Image (Nano Banana)GoogleRemove
  3. GLM 5.3 FlashZ.AIRemove
gpt-6-astra-pro vs gemini-2.5-flash-image vs glm-5.3-flash
AttributeGPT-6 Astra Progpt-6-astra-proGemini 2.5 Flash Image (Nano Banana)gemini-2.5-flash-imageGLM 5.3 Flashglm-5.3-flash
Pricing
Input$10.00 / 1M—$0.075 / 1M
Output$50.00 / 1M—$0.25 / 1M
Cache Write (5m)$10.00 / 1MNot applicable$0.075 / 1M
Cache Write (1h)$10.00 / 1MNot applicable$0.075 / 1M
Cache Read$10.00 / 1MNot applicable$0.075 / 1M
Web Search$0 / 1M—$0 / 1M
Request—$0.075 / request—
Billing—Pay Per Request—
Context
Max context1MN/A1M
Max outputN/AN/AN/A
Capabilities
VisionYesYesYes
Function CallingYesNoYes
JSON ModeYesNoYes
StreamingYesYesYes
Catalogue
ProviderOpenAIGoogleZ.AI
Categorychatimagechat
Charge typePay As You GoPay Per RequestPay 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 Image (“Nano Banana”) is now generally available. It’s a state-of-the-art image generation model with strong contextual understanding, supporting image creation, editing, and multi-turn conversational workflows around visuals.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.