愛好繁體中文 Embeddings 模型評測 by ihower

	A	B	C	D	E	F	G	H	I	J
1	全稱(廠商/模型)	向量維度	輸入 tokens 上限	API 價格 1M tokens	簡稱	平均命中率 Hit Rate	平均倒數排名 MRR	License	Link	備註
2	Voyage voyage-3-large	1024	32000	0.18	voyage-3-large	0.987689665	0.9363584311		https://blog.voyageai.com/2025/01/07/voyage-3-large/
3	Voyage voyage-multilingual-2	1024	32000	0.12	voyage-multilingual-2	0.9736616089	0.9034449852		https://docs.voyageai.com/docs/embeddings
4	Voyage voyage-3	1024	32000	0.06	voyage-3	0.96535929	0.8944555778		https://blog.voyageai.com/2024/09/18/voyage-3/
5	微軟 multilingual-e5-large	1024	512		微軟-multilingual-e5-large	0.9579158317	0.8850081115	開源	https://huggingface.co/intfloat/multilingual-e5-large
6	智源 bge-m3	1024	8192		智源-bge-m3	0.9561981105	0.8784282851	開源	https://huggingface.co/BAAI/bge-m3	北京智源人工智能研究院
7	微軟 multilingual-e5-small	384	512		微軟-multilingual-e5-small	0.9550529631	0.8722922035	開源	https://huggingface.co/intfloat/multilingual-e5-small
8	微軟 multilingual-e5-base	768	512		微軟-multilingual-e5-base	0.9521900945	0.8694245634	開源	https://huggingface.co/intfloat/multilingual-e5-base
9	Nomic Embed Text V2	768	512		nomic-embed-text-v2-moe	0.9513312339	0.867363298	開源	https://www.nomic.ai/blog/posts/nomic-embed-text-v2	https://huggingface.co/nomic-ai/nomic-embed-text-v2-moe
10	Voyage voyage-3-lite	512	32000	0.02	voyage-3-lite	0.9484683653	0.8625441359		https://docs.voyageai.com/docs/embeddings
11	Cohere embed-multilingual-v3.0	1024	512	0.1	Cohere-multilingual-v3	0.9350128829	0.8540652734		https://docs.cohere.com/docs/cohere-embed
12	Cohere embed-multilingual-light-v3.0	384	512		Cohere-multilingual-light-v3	0.9330088749	0.8422177689		https://docs.cohere.com/docs/cohere-embed
13	JinaAI jina-embeddings-v3	1024	8192	0.1	jina-embeddings-v3	0.9244202691	0.8255463308	開源 CC-BY-NC	https://huggingface.co/jinaai/jina-embeddings-v3	https://jina.ai/news/jina-embeddings-v3-a-frontier-multilingual-embedding-model/
14	Google Vertex text-multilingual-embedding-002	768	2048	0.1	Google-Vertex-multilingual-002	0.9215574005	0.8272258803		https://cloud.google.com/vertex-ai/generative-ai/docs/model-reference/text-embeddings-api
15	infgrad/stella-base-zh-v2	768	1024		infgrad/stella-base-zh-v2	0.9189808188	0.8193959347	開源	https://huggingface.co/infgrad/stella-base-zh-v2	基於商汤科技研究院 piccolo 模型的衍生模型
16	Chuxin-Embedding	1024	?		chuxin-llm/Chuxin-Embedding	0.9166905239	0.8179740433	開源	https://huggingface.co/chuxin-llm/Chuxin-Embedding
17	infgrad/stella-large-zh-v2	1024	1024		infgrad/stella-large-zh-v2	0.9161179502	0.8135270541	開源	https://huggingface.co/infgrad/stella-large-zh-v2
18	智源 bge-base-zh-v1.5	768	512		智源-bge-base-zh-v1.5	0.9060979101	0.8034449852	開源	https://huggingface.co/BAAI/bge-base-zh-v1.5
19	智源 bge-large-zh-v1.5	1024	512		智源-bge-large-zh-v1.5	0.9052390495	0.7999427426	開源	https://huggingface.co/BAAI/bge-large-zh-v1.5
20	OpenAI text-embedding-3-large	3072	8191	0.13	OpenAI-3-large	0.9043801889	0.7895314438		https://platform.openai.com/docs/guides/embeddings/embedding-models	用非同步的 Batch API 價錢是 0.07 便宜約一半
21	OpenAI text-embedding-3-large (降維至1536d)	1536	8191	0.13	OpenAI-3-large-1536d	0.9020898941	0.7821357		https://platform.openai.com/docs/guides/embeddings/embedding-models
22	Voyage voyage-large-2-instruct	1024	16000	0.12	Voyage-large-2-instruct	0.8975093043	0.7829897891		https://docs.voyageai.com/docs/embeddings
23	网易有道 bce-embedding-base_v1	768	512		网易有道-bce-base_v1	0.8932150014	0.7780656551	開源	https://huggingface.co/maidalun1020/bce-embedding-base_v1
24	合合信息 acge_text_embedding	1792	1024		合合信息-acge_text_embedding	0.8883481248	0.778256513	開源	https://huggingface.co/aspire/acge_text_embedding
25	infgrad/stella-mrl-large-zh-v3.5-1792d	1792	512		stella-mrl-large-zh-v3.5	0.8806183796	0.7773976524	開源	https://huggingface.co/infgrad/stella-mrl-large-zh-v3.5-1792d
26	智源 bge-small-zh-v1.5	512	512		智源-bge-small-zh-v1.5	0.8774692242	0.765955721	開源	https://huggingface.co/BAAI/bge-small-zh-v1.5
27	台智雲 ffm-embedding	1536	2048		台智雲-ffm	0.8763240767	0.7585504342		https://tws.twcc.ai/service/embedding/
28	阿里巴巴 gte-Qwen2-1.5B-instruct	1536	32000		阿里巴巴-gte-Qwen2-1.5B	0.8743200687	0.7307758374	開源	https://huggingface.co/Alibaba-NLP/gte-Qwen2-1.5B-instruct	需要 CUDA 得吃很多 GPU RAM，我是用 Google Colab 開 GPU 跑的
29	JinaAI jina-embeddings-v2-base-zh	768	8192	0.02	Jina-v2-base-zh	0.8734612081	0.7599627827	開源	https://huggingface.co/jinaai/jina-embeddings-v2-base-zh
30	OpenAI text-embedding-3-small	1536	8191	0.02	OpenAI-3-small	0.8683080447	0.7533352419		https://platform.openai.com/docs/guides/embeddings/embedding-models	價格便宜! 而且用非同步的 Batch API 還可以再便宜一半!
31	Mistral mistral-embed	1024	8192	0.1	mistral-embed	0.8571428571	0.7357047428		https://docs.mistral.ai/capabilities/embeddings/
32	OpenAI text-embedding-ada-002	1536	8191	0.1	OpenAI-ada-002	0.8568565703	0.7433199733		https://platform.openai.com/docs/guides/embeddings/embedding-models
33	阿里巴巴达摩院 gte-base-zh	768	512		阿里巴巴-gte-base-zh	0.8562839966	0.7308235519	開源	https://huggingface.co/thenlper/gte-base-zh
34	阿里巴巴达摩院 gte-small-zh	512	512		阿里巴巴-gte-small-zh	0.8562839966	0.7302891497	開源	https://huggingface.co/thenlper/gte-small-zh
35	数元灵-Dmeta-embedding-zh	768	1024		数元灵-Dmeta-embedding-zh	0.8488405382	0.7247638133	開源	https://huggingface.co/DMetaSoul/Dmeta-embedding-zh
36	阿里巴巴达摩院 gte-large-zh	1024	512		阿里巴巴-gte-large-zh	0.8348124821	0.7027197252	開源	https://huggingface.co/thenlper/gte-large-zh
37	minishlab/m2v_multilingual_output	256	?		minishlab/m2v_multilingual_output	0.6117950186	0.4740385533	開源	https://huggingface.co/minishlab/M2V_multilingual_output
38	Cohere embed-english-v3.0	1024	512	0.1	Cohere-en-v3	0.4901231033	0.3662086077		https://docs.cohere.com/docs/cohere-embed
39	Nomic embed-text-v1.5	768	8192		Nomic-embed-text-v1.5	0.4821070713	0.3582116614	開源	https://huggingface.co/nomic-ai/nomic-embed-text-v1.5	真完全開源的模型 https://blog.nomic.ai/posts/nomic-embed-text-v1
40	Cohere embed-english-light-v3.0	384	512	0.1	Cohere-en-light-v3	0.4506155167	0.3348077107		https://docs.cohere.com/docs/cohere-embed
41	minishlab/potion-base-32M	512	?		minishlab/potion-base-32M	0.3472659605	0.2447704934	開源	https://github.com/MinishLab/model2vec
42	SBERT all-MiniLM-L6-v2	384	128		all-MiniLM-L6-v2	0.2599484684	0.169100105	開源	https://huggingface.co/sentence-transformers/all-MiniLM-L6-v2	這是 https://sbert.net/ SentenceTransformers 官網上的範例程式用的，很多教材用這個舉例，但是中文根本 gg
43	Google Gemini text-embedding-004	768	2048	0.1	Google-Gemini-004	0.06498711709	0.04142570856		https://ai.google.dev/gemini-api/docs/embeddings	顯然沒有做中文，你應該註冊 GCP Vertex 改用 text-multilingual-embedding-002 多語言模型!
44	Google gemini-embedding-exp-03-07	3072	8000	?	gemini-embedding-exp-03-07	rate limit 太低無法跑完	https://ai.google.dev/gemini-api/docs/rate-limits#free-tier		https://developers.googleblog.com/en/gemini-embedding-text-model-now-available-gemini-api/
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46	作者 ihower \| 內容詳見: https://ihower.tw/blog/archives/12167
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