Seed1.6-Embedding-1215

Name: Seed1.6-Embedding-1215
Author: ByteDance Seed Team

Embedding model

Release date: 2025-12-15Updated: 2026-01-09Views: 432

Live demoGitHubHugging FaceCompare

Parameters

No data

Context length

No data

Multilingual

Supported

Reasoning ability

3/5

Seed1.6-Embedding-1215 is an AI model published by ByteDance Seed Team, released on 2025-12-15, for Embedding model, with a 77.99 score on MMEB-v2-Image.

Data sourced primarily from official releases (GitHub, Hugging Face, papers), then benchmark leaderboards, then third-party evaluators. Learn about our data methodology

Seed1.6-Embedding-1215

Model basics

Reasoning traces

No data

Thinking modes

Standard Mode (Default)Thinking Mode

Context length

No data

Max output length

No data

Model type

Embedding model

Modality (in / out)

Text, Image, Video, Embedding → Embedding

Release date

2025-12-15

Model file size

No data

MoE architecture

Total params / Active params

No data / Not applicable

Knowledge cutoff

No data

Seed1.6-Embedding-1215

Open source & experience

Code license

Proprietary

Weights license

Proprietary

GitHub repo

N/A

Hugging Face

N/A

Live demo

N/A

Seed1.6-Embedding-1215

Official resources

Paper

DataLearnerAI blog

N/A

Seed1.6-Embedding-1215

API details

API speed

3/5

No public API pricing yet.

Seed1.6-Embedding-1215

Benchmark Results

Seed1.6-Embedding-1215 currently shows benchmark results led by MMEB-v2-Image (2 / 6, score 77.99). This page also consolidates core specs, context limits, and API pricing so you can evaluate the model from benchmark results and deployment constraints together.

Image Embedding

1 evaluations

Benchmark / mode

Score

Rank/total

MMEB-v2-Image

Standard Mode

77.99

2 / 6

View benchmark analysis Compare with other models

Seed1.6-Embedding-1215

Publisher

ByteDance Seed Team

View publisher details

Seed1.6-Embedding-1215

Model Overview

Seed1.6-Embedding-1215 is an AI model published by ByteDance Seed Team, released on 2025-12-15, for Embedding model, with a 77.99 score on MMEB-v2-Image.

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