Doubao Embedding Vision Models by ByteDance
ByteDanceProprietary
1 model2025
Details
ResearcherByteDance
LicenseProprietary
Commercial useCommercial use: conditional
Models1
Released2025
Capabilities
VisionAll models
MultimodalAll models
Links
WebsiteAbout
ByteDance's multimodal embedding family for representing text and images in a shared vector space for retrieval, semantic search and RAG applications.
Current Variants
Use-when guidance is based on each model's tracked capabilities, context window, release date, and replacement status.
1 in view
Doubao Embedding VisionCurrent
Use when the workload needs embedding and multimodal inputs.
2025-12embeddingmultimodal inputs
| Model | Use when | Released | Signals | Status |
|---|---|---|---|---|
| Doubao Embedding Vision | Use when the workload needs embedding and multimodal inputs. | 2025-12 | embeddingmultimodal inputs | Current |
Release Timeline
1 release group2025-12
1 current
Doubao Embedding Vision
Currentembeddingmultimodal inputs
Specifications(1 models)
| Model | Released | Vision | Multimodal |
|---|---|---|---|
| Doubao Embedding Vision | 2025-12 | Yes | Yes |
Available From(1 provider)
Frequently Asked Questions
- What is Doubao Embedding Vision used for?
- Doubao Embedding Vision is used for embedding and vision and multimodal work. The family description and listed model capabilities point to those workloads as the best fit.
- How does Doubao Embedding Vision compare to Seed?
- Doubao Embedding Vision by ByteDance is strongest where you need embedding, while Seed by ByteDance is the closest related family to check for coding. Doubao Embedding Vision has 1 listed variant, while Seed reaches up to 256k context, so compare the specs and pricing tables before choosing a production model.
- Which Doubao Embedding Vision model should I use?
- If price is the main constraint, use the pricing table first because Doubao Embedding Vision does not have complete provider pricing in the local data. For the most capable/latest local choice, evaluate Doubao Embedding Vision with multimodal inputs.
