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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. Hy4 previewTencentRemove
  3. DeepSeek V4.1 FlashDeepSeekRemove
doubao-seedream-4-0-250828 vs hy4-preview vs deepseek-v4.1-flash
AttributeSeedream 4.0doubao-seedream-4-0-250828Hy4 previewhy4-previewDeepSeek V4.1 Flashdeepseek-v4.1-flash
Pricing
Request$0.20 / request
BillingPay Per Request
Cache Write (5m)Not applicable$0.834 / 1M$0.30 / 1M
Cache Write (1h)Not applicable$0.834 / 1M$0.30 / 1M
Cache ReadNot applicable$0.834 / 1M$0.30 / 1M
Input$0.834 / 1M$0.30 / 1M
Output$2.50 / 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
ProviderByteDanceTencentDeepSeek
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.Tencent Hy4 Preview is a Mixture-of-Experts (MoE) model from Tencent, featuring 770B total parameters with 49B activated per token. It is designed for coding agents, complex tool-driven workflows, and professional productivity tasks that require strong planning and reliable execution. Optimized for context continuity and sustained multi-step work, Hy4 Preview is well suited for long-horizon coding, agentic automation, tool orchestration, and complex real-world workflows.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.