Yuan Embedding 2.0 En measured on 15 of 261 Embeddings benchmarks15
BenchmarkByScoreRank
No benchmark matches
price not verifiedprice
70.7MTEB English v2
Nov 2025released
1,024Dimensions
33K tokensMax input
enLanguages
Rankingconfiguration unstated?
Full ranking →···
26Multilingual E5 Small61.427Yuan Embedding 2.0 En61.328Bekko Embedding v1 A8m59.4Strong at
Alternatives?
ModelScoreCostPriceWhat changes
ModelScoreCostPriceWhat changes
Nothing here yet.
ModelScoreCostPriceWhat changes
ModelScoreCostPriceWhat changes
cF2LLM v2 8BunstatedOpen+35%——Memory (4-bit): 0.4 GB → 4.5 GBcF2LLM v2 4BunstatedOpen+35%——Memory (4-bit): 0.4 GB → 2.4 GBcF2LLM v2 1.7BunstatedOpen+34%——Memory (4-bit): 0.4 GB → 1 GBcF2LLM v2 0.6BunstatedOpen+32%——cF2LLM v2 330MunstatedOpen+30%——ModelScoreCostPriceWhat changes
IYuan Embedding 2.0 ZhOpenn/a——Max input: 33K tokens → 1K tokensAll IEITYuan models →Run it yourself
estimateFits on✓ 8 GB (phone, laptop) · full quality✓ 16 GB · full quality✓ 24 GB GPU · full quality✓ 48 GB GPU · full quality✓ 80 GB GPU · full quality
LicenceApache-2.0free for commercial use
Benchmarks
in Embeddings & RetrievalFAQ
How much does Yuan Embedding 2.0 En cost?›
There is no per-unit API price: price not verified.
How good is Yuan Embedding 2.0 En, and what is it best at?›
#1 of 200 in Embeddings. Strongest at: Embeddings & Retrieval.
Is Yuan Embedding 2.0 En better than Multilingual E5 Small?›
On MTEB Thai v1 · Classification · Thai, Yuan Embedding 2.0 En scores 61.3 vs 61.4 — about the same.
When was Yuan Embedding 2.0 En released? Is there a newer version?›
Released 2025-11-27. It is the current version in its line.
Is Yuan Embedding 2.0 En open source?›
Yes, the weights are open (Apache-2.0 licence).
Can I run Yuan Embedding 2.0 En locally?›
The weights are open and can be self-hosted; hardware needs are not confirmed yet.
What is Yuan Embedding 2.0 En?›
Yuan Embedding 2.0 En is an open-weights embeddings & retrieval model from IEITYuan, released Nov 2025.
What are the best alternatives to Yuan Embedding 2.0 En?›
Qwen 3 Embedding 0.6B (better), F2LLM v2 8B (open weights).