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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 4.0ByteDanceRemove
  2. GLM 5.3 FlashZ.AIRemove
  3. GLM 5.3Z.AIRemove
doubao-seedream-4-0-250828 vs glm-5.3-flash vs glm-5.3
AttributeSeedream 4.0doubao-seedream-4-0-250828GLM 5.3 Flashglm-5.3-flashGLM 5.3glm-5.3
Pricing
Request$0.20 / request
BillingPay Per Request
Cache Write (5m)Not applicable$0.075 / 1M$1.40 / 1M
Cache Write (1h)Not applicable$0.075 / 1M$1.40 / 1M
Cache ReadNot applicable$0.075 / 1M$1.40 / 1M
Input$0.075 / 1M$1.40 / 1M
Output$0.25 / 1M$4.40 / 1M
Web Search$0 / 1M$0 / 1M
Context
Max context128K1M1M
Max outputN/AN/AN/A
Capabilities
VisionYesYesNo
Function CallingNoYesYes
JSON ModeNoYesYes
StreamingNoYesYes
Catalogue
ProviderByteDanceZ.AIZ.AI
Categoryimagechatchat
Charge typePay Per RequestPay As You GoPay As You Go
Released
Description
SummarySeedream 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-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.