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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. GLM 5.3 FlashZ.AIRemove
  3. Muse Spark 1.3MetaRemove
doubao-seedream-5-0-260128 vs glm-5.3-flash vs muse-spark-1.3
AttributeSeedream 5.0 Litedoubao-seedream-5-0-260128GLM 5.3 Flashglm-5.3-flashMuse Spark 1.3muse-spark-1.3
Pricing
Request$0.235 / request
BillingPay Per Request
Cache Write (5m)Not applicable$0.075 / 1M$1.25 / 1M
Cache Write (1h)Not applicable$0.075 / 1M$1.25 / 1M
Cache ReadNot applicable$0.075 / 1M$1.25 / 1M
Input$0.075 / 1M$1.25 / 1M
Output$0.25 / 1M$4.25 / 1M
Web Search$0 / 1M$0 / 1M
Context
Max context128K1M1M
Max outputN/AN/AN/A
Capabilities
VisionYesYesYes
Function CallingNoYesYes
JSON ModeNoYesYes
StreamingNoYesYes
Catalogue
ProviderByteDanceZ.AIMeta
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.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.Muse Spark 1.3 is Meta's multimodal reasoning model designed for long-running agentic, multi-agent, and coding workflows. It maintains context and information across extended tasks, enabling reliable execution in complex, multi-step environments. The model is optimized to resolve conflicting information, seek clarification or confirmation when necessary, and execute concisely, making it well suited for autonomous agents, collaborative multi-agent systems, and long-horizon software engineering workflows.