Compare models
Put up to 4 models beside each other — token prices, context windows, capabilities and provider, from the same catalogue the model pages read.
| Attribute | Seedream 5.0 Litedoubao-seedream-5-0-260128 | DeepSeek V4.1 Flashdeepseek-v4.1-flash |
|---|---|---|
| Pricing | ||
| Request | $0.235 / request | — |
| Billing | Pay Per Request | — |
| Cache Write (5m) | Not applicable | $0.30 / 1M |
| Cache Write (1h) | Not applicable | $0.30 / 1M |
| Cache Read | Not applicable | $0.30 / 1M |
| Input | — | $0.30 / 1M |
| Output | — | $1.20 / 1M |
| Web Search | — | $0 / 1M |
| Context | ||
| Max context | 128K | 1M |
| Max output | N/A | N/A |
| Capabilities | ||
| Vision | Yes | Yes |
| Function Calling | No | Yes |
| JSON Mode | No | Yes |
| Streaming | No | Yes |
| Catalogue | ||
| Provider | ByteDance | DeepSeek |
| Category | image | chat |
| Charge type | Pay Per Request | Pay As You Go |
| Released | — | — |
| Description | ||
| Summary | Doubao-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. | 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. |