Discover ByteDance Seed 1.6's Multimodal Capabilities

Seed 1.6 combines text, image, and video inputs for insightful text outputs.

Input: image · text · video Output: text Context: 262,144 tokens Release: 2025-12-23

ByteDance Seed: Seed 1.6 is a versatile general-purpose model developed by the ByteDance Seed team and released on December 23, 2025. This model stands out with its impressive 256K context window, allowing it to process and understand extensive information seamlessly. It supports various input modalities, including text, images, and videos, and generates output in text format. The model's adaptive deep thinking capabilities enable it to handle complex tasks effectively, making it suitable for a wide range of applications. Whether you're looking to analyze images, interpret text, or process video content, Seed 1.6 is designed to provide insightful responses tailored to your needs.

Use Cases

Here are a few ways teams apply ByteDance Seed: Seed 1.6 in practice—from fast drafting to multimodal understanding. Adapt these ideas to your workflow.

Analyze and interpret images effectively

Generate text from video content

Provide detailed responses to complex queries

Create engaging narratives from diverse inputs

Key Features

A quick look at the capabilities that make this model useful in real projects.

256K context window for extensive information processing

Supports text, image, and video inputs

Generates clear and coherent text outputs

Adaptive deep thinking for complex tasks

Developed by the ByteDance Seed team

Specs

Overview

Vendor
bytedance-seed

Model ID
bytedance-seed/seed-1.6

Release
2025-12-23

Modalities & context

Input
image · text · video

Output
text

Context
262,144 tokens

Parameters & defaults

Supported parameters: frequency_penalty, include_reasoning, max_tokens, reasoning, response_format, structured_outputs, temperature, tool_choice, tools, top_p

Defaults: temperature 0.2, top_p 0.95

Benchmark tests: ByteDance Seed: Seed 1.6

We ran this model against a few representative prompts to show its range. Review the outputs below and be the judge.

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