ByteDance Seed: Seedream 4.5 vs ByteDance Seed: Seedream 5.0 Lite
A side-by-side comparison of ByteDance Seed: Seedream 4.5 ($0.14 / image) and ByteDance Seed: Seedream 5.0 Lite ($0.12 / image) using current USD prices and capabilities from the api14 catalog. Both run through the same OpenAI-compatible API.
Specifications
| ByteDance Seed: Seedream 4.5 | ByteDance Seed: Seedream 5.0 Lite | |
|---|---|---|
| Provider | ByteDance Seed | ByteDance Seed |
| Image output | $0.14 / image | $0.12 / image |
| Context window | 4,096 | - |
| Max output | 3,686 | - |
| Input | image, text | text, image |
| Output | image | image |
| Tool calling | ||
| Structured output | ||
| Reasoning control | ||
| Added | Dec 23, 2025 | Aug 13, 2026 |
In depth
ByteDance Seed: Seedream 4.5 and ByteDance Seed: Seedream 5.0 Lite are both image generation models from ByteDance Seed. Seedream 4.5 was released by the provider on 2025-12-23, while Seedream 5.0 Lite followed later, on 2026-08-13. Both sit in the image category, so neither is a general text chat model. They are built to take a prompt and return an image, and both are offered through api14 under the same provider namespace.
The two models share the same input and output modalities. Each accepts text and image as input and produces image as output, so both can be used for text to image work and for image conditioned work where you supply a reference image alongside a text prompt. They also expose the same supported parameters: frequency_penalty, max_tokens, temperature and top_p. The clearest documented difference is context length. Seedream 4.5 lists a context window of 4096 tokens. Seedream 5.0 Lite has no context length listed, so its window is not stated in the data available here. That means you cannot assume a larger or smaller window for the newer model; you simply do not have a figure to plan against. The qualitative comparison fields for cheaper input, cheaper output, bigger context, tool use, structured output and reasoning are all null, so there is no stated basis to call one model cheaper, larger or more capable on those axes. Treat them as equivalent on the documented feature set and let the live price table on this page settle cost.
For practical selection, the safe default is Seedream 4.5 when you want a known context budget, because 4096 tokens is documented and you can size your prompts and reference material against it. Choose Seedream 5.0 Lite when you want the newer release from the same provider and your prompts fit comfortably within a typical image generation request, since no context figure is published for it. If your workflow depends on a specific token ceiling for long descriptive prompts or many reference images, the documented number on 4.5 is easier to reason about. If you are simply generating images from short or medium prompts, either model should serve, and the deciding factor becomes availability and price rather than capability.
Calling either model through api14 works the same way because the API is OpenAI compatible. You send your request to the same endpoint with the same request shape, and the only change is the model id. Use "bytedance-seed/seedream-4.5" to route to Seedream 4.5, or "bytedance-seed/seedream-5-0-lite" to route to Seedream 5.0 Lite. Your messages, image inputs and parameters such as temperature, top_p, max_tokens and frequency_penalty carry over unchanged, so switching between the two is a one line edit rather than a rewrite of your integration.
There is no documented case in the data here where one model is clearly the better pick over the other on capability grounds, since the qualitative fields are all null. The one concrete tiebreaker is the stated context length on Seedream 4.5, which makes it the more predictable choice when you need to budget tokens explicitly. Outside that, pick based on which release you prefer and what the live price table shows.
Switch with one string
Both models use the same endpoint and request shape. Change the model value from "bytedance-seed/seedream-4.5" to "bytedance-seed/seedream-5-0-lite" and prompts, streaming and tools keep working.
import OpenAI from "openai";
const client = new OpenAI({
baseURL: "https://api14.com/api/v1",
apiKey: process.env.API14_API_KEY,
});
const result = await client.images.generate({
"model": "bytedance-seed/seedream-5-0-lite",
"prompt": "A minimalist product photo of a ceramic mug on a wooden table",
"n": 1,
"aspect_ratio": "1:1"
});
import { writeFile } from "node:fs/promises";
await writeFile("image.png", Buffer.from(result.data[0].b64_json, "base64"));
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