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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. Gemini 3.8 FlashGoogleRemove
  3. DeepSeek V4.1 FlashDeepSeekRemove
doubao-seedream-4-0-250828 vs gemini-3.8-flash vs deepseek-v4.1-flash
AttributeSeedream 4.0doubao-seedream-4-0-250828Gemini 3.8 Flashgemini-3.8-flashDeepSeek V4.1 Flashdeepseek-v4.1-flash
Pricing
Request$0.20 / request
BillingPay Per Request
Cache Write (5m)Not applicable$0.75 / 1M$0.30 / 1M
Cache Write (1h)Not applicable$0.75 / 1M$0.30 / 1M
Cache ReadNot applicable$0.75 / 1M$0.30 / 1M
Input$0.75 / 1M$0.30 / 1M
Output$3.75 / 1M$1.20 / 1M
Web Search$0 / 1M$0 / 1M
Context
Max context128K1M1M
Max outputN/AN/AN/A
Capabilities
VisionYesYesYes
Function CallingNoYesYes
JSON ModeNoYesYes
StreamingNoYesYes
Catalogue
ProviderByteDanceGoogleDeepSeek
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.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.DeepSeek V4.1 Flash is a cost-efficient sparse Mixture-of-Experts (MoE) model in DeepSeek's V4.1 family, optimized for coding, reasoning, and agentic workflows. Despite its efficiency-focused positioning, DeepSeek reports that it surpasses the previous V4 Pro in performance, inference speed, and overall task completion time. The model is particularly strong at long-horizon, multi-step execution, making it well suited for coding agents, complex problem solving, and autonomous workflows that must reliably carry tasks through to completion.