---
title: Seed-2.0-Mini LLM — Fast Multimodal AI | ModelsLab
description: Generate text, images, and video with Seed-2.0-Mini. 256K context, 4 reasoning modes, $0.10/M input tokens. Try now.
url: https://modelslab-frontend-v2-927501783998.us-east4.run.app/bytedance-seed-seed-20-mini
canonical: https://modelslab-frontend-v2-927501783998.us-east4.run.app/bytedance-seed-seed-20-mini
type: website
component: Seo/ModelPage
generated_at: 2026-05-13T10:36:19.066541Z
---

Available now on ModelsLab · Language Model

ByteDance Seed: Seed-2.0-Mini
Fast multimodal inference
---

[Try ByteDance Seed: Seed-2.0-Mini](/models/open_router/bytedance-seed-seed-2.0-mini) [API Documentation](https://docs.modelslab.com)

Deploy smarter. Cost less.
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Lightning-Fast

### 1.5s First Token Latency

Optimized for high-concurrency scenarios with 32 tokens/second throughput.

Flexible Reasoning

### Four Reasoning Modes

Minimal mode uses 1/10 tokens while maintaining 85% performance on routine tasks.

Multimodal Native

### Text, Image, Video Input

Process complex documents, tables, graphs, and temporal video sequences seamlessly.

Examples

See what ByteDance Seed: Seed-2.0-Mini can create
---

Copy any prompt below and try it yourself in the [playground](/models/open_router/bytedance-seed-seed-2.0-mini).

Document Analysis

“Extract key metrics and insights from a financial report PDF. Identify revenue trends, expense categories, and provide a one-paragraph executive summary with specific numbers.”

Video Understanding

“Analyze a 2-minute product demo video. Describe the main features shown, user interactions, and technical specifications mentioned. Flag any unclear sections.”

Batch Classification

“Classify 500 customer support tickets by sentiment (positive/negative/neutral) and urgency level (low/medium/high). Return structured JSON output.”

Code Generation

“Write a Python function that validates email addresses, handles edge cases, and includes docstring with examples.”

For Developers

A few lines of code.
Inference. Reasoning. Scale.
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ModelsLab handles the infrastructure: fast inference, auto-scaling, and a developer-friendly API. No GPU management needed.

- **Serverless:** scales to zero, scales to millions
- **Pay per token,** no minimums
- **Python and JavaScript SDKs,** plus REST API

[API Documentation ](https://docs.modelslab.com)

PythonJavaScriptcURL

Copy

```
<code>import requests

response = requests.post(
    "https://modelslab.com/api/v7/llm/chat/completions",
    json={
  "key": "YOUR_API_KEY",
  "prompt": "",
  "model_id": ""
}
)
print(response.json())</code>
```

FAQ

Common questions about ByteDance Seed: Seed-2.0-Mini
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[Read the docs ](https://docs.modelslab.com)

### What makes ByteDance Seed Seed-2.0-Mini different from other LLMs?

Seed-2.0-Mini is purpose-built for latency-sensitive, high-concurrency workloads with comparable performance to Seed-1.6 at 1/10th the token cost. It supports four configurable reasoning modes, letting you trade accuracy for speed on routine tasks.

### How does the reasoning effort setting work?

Minimal mode (no reasoning) uses only 10% of tokens while delivering 85% of high-effort performance—ideal for classification and formatting. Medium and high modes scale reasoning depth for complex analysis and problem-solving tasks.

### What's the maximum context window and output length?

Seed-2.0-Mini supports 262,144 tokens context window with 131,072 tokens max completion, enabling processing of long documents, multi-turn conversations, and extended reasoning chains.

### Can Seed-2.0-Mini handle video and image inputs?

Yes. It processes text, images, and video natively with enhanced temporal perception for motion understanding. It excels at parsing complex visual content like tables, graphs, and video sequences.

### What are typical use cases for this model?

Ideal for batch content processing, real-time customer service at scale, content moderation, sentiment analysis, and any high-volume task where latency and cost matter more than maximum reasoning depth.

### How does pricing compare to other models?

Input costs $0.10/1M tokens and output $0.40/1M tokens—approximately 10x lower than competing models while maintaining strong multimodal and agent capabilities.

Ready to create?
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Start generating with ByteDance Seed: Seed-2.0-Mini on ModelsLab.

[Try ByteDance Seed: Seed-2.0-Mini](/models/open_router/bytedance-seed-seed-2.0-mini) [API Documentation](https://docs.modelslab.com)

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*This markdown version is optimized for AI agents and LLMs.*

**Links:**
- [Website](https://modelslab.com)
- [API Documentation](https://docs.modelslab.com)
- [Blog](https://modelslab.com/blog)

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*Generated by ModelsLab - 2026-05-13*