by Doubao
doubao-embedding-text-240715 Doubao Embedding is a semantic vectorization model developed by ByteDance, primarily designed for vector search scenarios. It supports both Chinese and English languages and has a maximum context length of approximately 4K tokens.
| Input | $0.7 / 1M tokens |
| Output | $0.7 / 1M tokens |
| Modalities | text |
Use doubao-embedding-text-240715 via the AIHubMix unified API — one interface for every major LLM.