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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 4.5ByteDanceRemove
  2. Gemini 3.8 FlashGoogleRemove
  3. GLM 5.3Z.AIRemove
doubao-seedream-4-5-251128 vs gemini-3.8-flash vs glm-5.3
AttributeSeedream 4.5doubao-seedream-4-5-251128Gemini 3.8 Flashgemini-3.8-flashGLM 5.3glm-5.3
Pricing
Request$0.375 / request
BillingPay Per Request
Cache Write (5m)Not applicable$0.75 / 1M$1.40 / 1M
Cache Write (1h)Not applicable$0.75 / 1M$1.40 / 1M
Cache ReadNot applicable$0.75 / 1M$1.40 / 1M
Input$0.75 / 1M$1.40 / 1M
Output$3.75 / 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
ProviderByteDanceGoogleZ.AI
Categoryimagechatchat
Charge typePay Per RequestPay As You GoPay As You Go
Released
Description
SummarySeedream 4.5 is ByteDance's advanced AI image generation and editing model, representing a major evolution of the Seedream family. It delivers professional-grade visual quality with rich detail, improved spatial understanding, and cinematic rendering effects. Seedream 4.5 excels at understanding nuanced natural language prompts and generating consistent, high-fidelity outputs with enhanced lighting, depth, and texture. It supports complex workflows such as multi-image composition, fine typography and text rendering, and image-to-image editing with enhanced prompt interpretation.Gemini 3.8 Flash is Google's most intelligent Flash-class model, delivering significant improvements over Gemini 3.7 Flash across software engineering, agentic workflows, and complex multi-step reasoning. Designed to combine strong capability with Flash-tier efficiency, it is well suited for coding assistants, autonomous agents, and high-throughput production workflows that require responsive performance without sacrificing reasoning quality.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.