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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. GPT-6 Astra ProOpenAIRemove
  2. Seedream 4.0ByteDanceRemove
  3. GLM 5.3Z.AIRemove
gpt-6-astra-pro vs doubao-seedream-4-0-250828 vs glm-5.3
AttributeGPT-6 Astra Progpt-6-astra-proSeedream 4.0doubao-seedream-4-0-250828GLM 5.3glm-5.3
Pricing
Input$10.00 / 1M$1.40 / 1M
Output$50.00 / 1M$4.40 / 1M
Cache Write (5m)$10.00 / 1MNot applicable$1.40 / 1M
Cache Write (1h)$10.00 / 1MNot applicable$1.40 / 1M
Cache Read$10.00 / 1MNot applicable$1.40 / 1M
Web Search$0 / 1M$0 / 1M
Request$0.20 / request
BillingPay Per Request
Context
Max context1M128K1M
Max outputN/AN/AN/A
Capabilities
VisionYesYesNo
Function CallingYesNoYes
JSON ModeYesNoYes
StreamingYesNoYes
Catalogue
ProviderOpenAIByteDanceZ.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.Seedream 4.0 is ByteDance's advanced text-to-image generation model, designed to deliver high-quality, visually rich outputs with strong prompt alignment and improved aesthetic control. It enhances spatial composition, lighting realism, and fine detail rendering compared to earlier versions in the Seedream series. Optimized for creative production workflows, Seedream 4.0 supports diverse artistic styles and complex scene generation, making it well suited for marketing assets, concept art, design iteration, and professional visual content creation.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.