Seed-1.6-Embedding-250615
Seed-1.6-Embedding-250615 is an AI model published by ByteDance Seed Team, released on 2025-06-28, for Embedding model, and 128K context length, 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
Model basics
Open source & experience
Official resources
API details
| Type | Condition | Input | Output |
|---|---|---|---|
| Text | - | $0.125/ 1M tokens | — |
| Image | - | $0.325/ 1M tokens | — |
| Embedding | - | — | $0.0000/ 1M tokens |
“—” means the modality is not billed in that direction, or the vendor has not published a price for it.
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.
Publisher
Model Overview
Seed-1.6-Embedding-250615 is an AI model published by ByteDance Seed Team, released on 2025-06-28, for Embedding model, and 128K context length, with a 77.78 score on MMEB-v2-Image.
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