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Seed1.6-Embedding-1215

RumoredEmbedding model

Seed1.6-Embedding-1215

Release date: 2025-12-15Updated: 2026-01-09 10:05:15371
Live demoGitHubHugging FaceCompare
Parameters
Not disclosed
Context length
No data
Chinese support
Supported
Reasoning ability

Seed1.6-Embedding-1215 is an AI model published by ByteDance Seed Team, released on 2025-12-15, for Embedding model, under the 不开源 license, 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
Not supported
Thinking modes
Thinking modes not supported
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
No
Total params / Active params
No data / N/A
Knowledge cutoff
No data
Seed1.6-Embedding-1215

Open source & experience

Code license
不开源
Weights license
不开源
GitHub repo
GitHub link unavailable
Hugging Face
Hugging Face link unavailable
Live demo
No live demo
Seed1.6-Embedding-1215

Official resources

DataLearnerAI blog
No blog post yet
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.

Thinking

Image Embedding

1 evaluations
Benchmark / mode
Score
Rank/total
77.99
2 / 6

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Seed1.6-Embedding-1215

Publisher

ByteDance Seed Team
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, under the 不开源 license, with a 77.99 score on MMEB-v2-Image.

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