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ByteDance Seed: Seed 1.6 FlashFlash Multimodal Reasoning

Try ByteDance Seed: Seed 1.6 FlashAPI Documentation

Infer Fast. Think Deep.

Ultra-Fast

Low-Latency Inference

ByteDance Seed: Seed 1.6 Flash delivers high-throughput for text, image, video inputs.

256K Context

Long Outputs

Supports 256K tokens input, up to 16K output tokens in ByteDance Seed: Seed 1.6 Flash model.

Multimodal

Visual Understanding

Processes mixed text, image, video modalities with deep reasoning via ByteDance Seed: Seed 1.6 Flash API.

Examples

See what ByteDance Seed: Seed 1.6 Flash can create

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

Quantum Basics

“Explain quantum computing principles simply, using everyday analogies for superposition and entanglement.”

Code Debug

“Review this Python function for errors and optimize for speed: def fibonacci(n): if n <= 1: return n; return fibonacci(n-1) + fibonacci(n-2)”

Market Analysis

“Summarize trends in AI hardware from recent data, focusing on GPU vs TPU efficiency metrics.”

Essay Outline

“Create detailed outline for essay on sustainable energy transitions, including key arguments and sources.”

For Developers

A few lines of code.
Flash inference. Few lines.

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 1.6 Flash

Read the docs

Ultra-fast multimodal LLM by ByteDance for text, image, video inputs. Optimized for low-latency, high-throughput inference. Features 256K context window.

Use Puter.js or OpenRouter endpoints with model ID bytedance-seed/seed-1.6-flash. No API keys needed for Puter. Supports chat completions.

Input: $0.08 per million tokens. Output: $0.3 per million tokens. Costs scale with usage volume.

Compares to Gemini Flash models in speed and multimodal tasks. Offers deep thinking with visual support. Check OpenRouter for benchmarks.

Includes temperature, top_p, max_tokens, tools, structured_outputs, frequency_penalty. Defaults: temperature 0.2, top_p 0.95.

256K token context window. Max output 16K tokens. Handles long conversations and documents.

Ready to create?

Start generating with ByteDance Seed: Seed 1.6 Flash on ModelsLab.

Try ByteDance Seed: Seed 1.6 FlashAPI Documentation