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Available now on ModelsLab · Language Model

Seed 1.8Agentic Reasoning Unified

Try Seed 1.8API Documentation
Seed 1.8

Build Agents That Act

Web Search

Autonomous Retrieval

Seed 1.8 model performs real-time web searches and integrates results into reasoning chains.

Code Execution

Iterative Coding

Seed 1.8 API generates, debugs, and executes code within a unified agentic interface.

GUI Interaction

Visual Task Handling

Seed 1.8 LLM interprets GUIs, charts, and videos for multi-step task execution.

Examples

See what Seed 1.8 can create

Copy any prompt below and try it yourself in the playground.

Plan Itinerary

“Search current flights from New York to London next week, compare prices under $800, book cheapest option with good reviews, output JSON itinerary.”

Debug Script

“Analyze this Python code for errors: [insert buggy code]. Fix issues, execute test case with sample data, return corrected version and output.”

GUI Navigation

“Given screenshot of banking app [describe image], transfer $100 to savings account, confirm balance update, handle any prompts.”

Video Analysis

“Use VideoCut tool on this clip [video input], replay frames 10-20 at 3 FPS, identify objects and actions, summarize events.”

For Developers

A few lines of code.
Agents. One call.

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 Seed 1.8

Read the docs

Seed 1.8 is ByteDance's agentic LLM combining retrieval, coding, and task orchestration. It handles multi-step execution via unified interface. Access via Seed 1.8 API for production agents.

Seed 1.8 LLM excels in multimodal reasoning, video understanding, and mobile tasks. It maintains strong base LLM performance on benchmarks. Optimized for low-latency inference.

Yes, Seed 1.8 API integrates visual perception for GUIs, charts, and videos. VideoCut tool enables high-frame-rate analysis. Supports real-world agency beyond text.

Use standard chat completions endpoint with model 'bytedance/seed-1-8'. Pass messages array and optional tools. Responses include tool calls for agentic flow.

Seed 1.8 model balances speed and accuracy for production. Dynamically adjusts reasoning depth by task. Competitive on agentic benchmarks like MARS-Bench.

Ready to create?

Start generating with Seed 1.8 on ModelsLab.

Try Seed 1.8API Documentation