Seed-2.0-Lite
VerifiedMultimodal model processing text, images, and video with 256K context.
About Seed-2.0-Lite
Seed-2.0-Lite integrates text, image, and video processing in a single architecture. Its 262144-token context window enables handling of extended multimodal sequences. The model remains proprietary with no public weights available.
Designed for efficiency, it balances capability across modalities without requiring users to manage separate specialized systems. Large context capacity reduces the need for chunking when analyzing lengthy videos or image collections paired with text.
Typical applications include video captioning, cross-modal retrieval, and generating descriptions that reference both visual and textual elements. Users leverage it for research and production workflows that demand unified handling of diverse media types.
Capabilities
How Seed-2.0-Lite compares
Seed-2.0-Lite (striped bar) vs other multimodal on intelligence, speed and price.
Price
USD per 1M output tokens · Lower is better · Seed-2.0-Lite ranks #54 of 122
Sources: Artificial Analysis (intelligence, speed) · OpenRouter (price).
Best for
Long-context multimodal document analysis
Seed-2.0-Lite processes inputs up to 262144 tokens, enabling it to analyze entire lengthy reports or transcripts that combine text with images in a single pass.
Extended multimodal conversations
Its large context window supports sustained interactions involving both text and visual elements without losing earlier details from the dialogue history.
Efficient handling of mixed-media inputs
As a multimodal model from Bytedance-seed, it is well suited for tasks that require simultaneous reasoning over text and images within resource-conscious deployments.
Strengths & limitations
Strengths
- +Very large 256k token context window
- +Native handling of text, image, and video inputs
- +Integrated multimodal analysis
Limitations
- –Lite variant may trade depth for efficiency
- –Video inputs increase computational demands
- –Performance depends on input modality complexity
Pricing by provider
Live per-provider pricing & uptime, routed via OpenRouter. Prices are USD per 1M tokens.
| Provider | Input /1M | Output /1M | Context | Uptime |
|---|---|---|---|---|
| Seed(fp8) | $0.25 | $2.00 | 262K | — |
Cost calculator
Estimate what Seed-2.0-Lite would cost for your usage.
Based on Seed-2.0-Lite's $0.25/1M input · $2.00/1M output. Estimate only — actual cost varies by provider and caching.
Quick start
OpenRouter's API is OpenAI-compatible — most SDKs work by just swapping the base URL. Only the model slug changes between models.
import OpenAI from "openai";
const client = new OpenAI({
baseURL: "https://openrouter.ai/api/v1",
apiKey: process.env.OPENROUTER_API_KEY,
});
const completion = await client.chat.completions.create({
model: "bytedance-seed/seed-2.0-lite",
messages: [{ role: "user", content: "Hello!" }],
});
console.log(completion.choices[0].message.content);Model slug: bytedance-seed/seed-2.0-lite
Editor's verdict
Seed-2.0-Lite is Bytedance-seed's proprietary multimodal with a 262K-token context window.
At $2.00 per 1M output tokens, it is mid-priced for its class, served by 1 provider.
It is available through Bytedance-seed's API and aggregators like OpenRouter.
Best suited to very large 256k token context window and native handling of text, image, and video inputs.
Frequently asked questions
The model provides a context window of 262144 tokens.
User reviews
Real, verified reviews from the community shape this model's rating.
Loading reviews…
Other Seed models
Sibling versions in the Seed family from Bytedance-seed.
Similar models
Other multimodal worth comparing.