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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. GLM 5.3 FlashZ.AIRemove
  2. Seedream 3.0ByteDanceRemove
  3. GLM 5.3Z.AIRemove
glm-5.3-flash vs doubao-seedream-3-0-t2i-250415 vs glm-5.3
AttributeGLM 5.3 Flashglm-5.3-flashSeedream 3.0doubao-seedream-3-0-t2i-250415GLM 5.3glm-5.3
Pricing
Input$0.075 / 1M$1.40 / 1M
Output$0.25 / 1M$4.40 / 1M
Cache Write (5m)$0.075 / 1MNot applicable$1.40 / 1M
Cache Write (1h)$0.075 / 1MNot applicable$1.40 / 1M
Cache Read$0.075 / 1MNot applicable$1.40 / 1M
Web Search$0 / 1M$0 / 1M
Request$0.075 / request
BillingPay Per Request
Context
Max context1M128K1M
Max outputN/AN/AN/A
Capabilities
VisionYesYesNo
Function CallingYesNoYes
JSON ModeYesNoYes
StreamingYesNoYes
Catalogue
ProviderZ.AIByteDanceZ.AI
Categorychatimagechat
Charge typePay As You GoPay Per RequestPay As You Go
Released
Description
SummaryGLM-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.Doubao-Seedream-3.0-T2I-250415 is ByteDance's advanced text-to-image (T2I) generation model, designed to deliver high-quality visual outputs with strong prompt alignment and fast inference performance. It supports detailed scene composition, rich stylistic control, and high-fidelity rendering across a wide range of creative use cases. Optimized for production deployment, Seedream 3.0 balances visual quality, generation speed, and cost efficiency, making it well suited for creative content generation, design workflows, marketing assets, and interactive image-based applications.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.