SE

Seed-1.6-Embedding-250615

Embedding modelSeed-1.6

Seed-1.6-Embedding-250615

Release date: 2025-06-28Updated: 2026-01-09 11:14:30275
Live demoGitHubHugging FaceCompare
Parameters
Not disclosed
Context length
128K
Chinese support
Supported
Reasoning ability

Seed-1.6-Embedding-250615 is an AI model published by 字节跳动Seed团队, released on 2025-06-28, for Embedding model, and 128K context length, under the 不开源 license, with a 77.78 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

Seed-1.6-Embedding-250615

Model basics

Reasoning traces
Not supported
Thinking modes
Thinking modes not supported
Context length
128K tokens
Max output length
No data
Model type
Embedding model
Modality (in / out)
Text, Image, Video → Embedding
Release date
2025-06-28
Model file size
No data
MoE architecture
No
Total params / Active params
No data / N/A
Knowledge cutoff
No data
Seed-1.6-Embedding-250615

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
Seed-1.6-Embedding-250615

Official resources

DataLearnerAI blog
No blog post yet
Seed-1.6-Embedding-250615

API details

API speed
3/5
No public API pricing yet.
Seed-1.6-Embedding-250615

Benchmark Results

Seed-1.6-Embedding-250615 currently shows benchmark results led by MMEB-v2-Image (3 / 6, score 77.78). 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
77.78
3 / 6

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Seed-1.6-Embedding-250615

Publisher

字节跳动Seed团队
View publisher details
Seed-1.6-Embedding-250615

Model Overview

Seed-1.6-Embedding-250615 is an AI model published by 字节跳动Seed团队, released on 2025-06-28, for Embedding model, and 128K context length, under the 不开源 license, with a 77.78 score on MMEB-v2-Image.

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