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.
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.
On AIHubMix, doubao-embedding-text-240715 costs $0.7 per million input tokens and $0.7 per million output tokens.
doubao-embedding-text-240715 accepts text input.
doubao-embedding-text-240715 is available through the AIHubMix unified API. The API is OpenAI-compatible: point your OpenAI SDK at https://aihubmix.com/v1, use your AIHubMix API key, and set the model name to doubao-embedding-text-240715 — no other code changes needed.
doubao-embedding-text-240715 is developed by Doubao. AIHubMix aggregates it alongside models from other providers behind one API and one bill.
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Use doubao-embedding-text-240715 via the AIHubMix unified API — one interface for every major LLM.