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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. Seedream 5.0 LiteByteDanceRemove
  2. GPT-6 AstraOpenAIRemove
  3. GLM 5.3 FlashZ.AIRemove
doubao-seedream-5-0-260128 vs gpt-6-astra vs glm-5.3-flash
AttributeSeedream 5.0 Litedoubao-seedream-5-0-260128GPT-6 Astragpt-6-astraGLM 5.3 Flashglm-5.3-flash
Pricing
Request$0.235 / request
BillingPay Per Request
Cache Write (5m)Not applicable$10.00 / 1M$0.075 / 1M
Cache Write (1h)Not applicable$10.00 / 1M$0.075 / 1M
Cache ReadNot applicable$10.00 / 1M$0.075 / 1M
Input$10.00 / 1M$0.075 / 1M
Output$50.00 / 1M$0.25 / 1M
Web Search$0 / 1M$0 / 1M
Context
Max context128K1M1M
Max outputN/AN/AN/A
Capabilities
VisionYesYesYes
Function CallingNoYesYes
JSON ModeNoYesYes
StreamingNoYesYes
Catalogue
ProviderByteDanceOpenAIZ.AI
Categoryimagechatchat
Charge typePay Per RequestPay As You GoPay As You Go
Released
Description
SummaryDoubao-Seedream 5.0 Lite is ByteDance's optimized text-to-image generation model designed for fast, cost-efficient visual creation while retaining strong visual quality. It offers improved prompt understanding and rendering performance over previous "Lite" variants, making it suitable for real-time applications and interactive creative workflows. With a focus on speed, responsiveness, and lightweight deployment, Seedream 5.0-Lite enables rapid generation of visually appealing images across a wide range of styles and scenarios, making it ideal for user-facing creative tools and large-scale content pipelines.GPT-6 Astra is OpenAI's flagship model for demanding end-to-end professional work, designed for advanced analysis, software engineering, deep research, scientific tasks, and document creation. It is particularly strong in long-horizon agentic workflows, including tasks that require sustained reasoning, tool orchestration, and computer and browser use, making it well suited for complex autonomous workflows and production-grade knowledge work.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.