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Available now on ModelsLab · Language Model

ByteDance Seed: Seed-2.0-MiniFast multimodal inference

Try ByteDance Seed: Seed-2.0-MiniAPI Documentation

Deploy smarter. Cost less.

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.

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.

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 
import requests


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

FAQ

Common questions about ByteDance Seed: Seed-2.0-Mini

Read the docs

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.

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.

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.

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.

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.

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?

Start generating with ByteDance Seed: Seed-2.0-Mini on ModelsLab.

Try ByteDance Seed: Seed-2.0-MiniAPI Documentation