F2LLM 4B measured on 8 of 261 Embeddings benchmarks8
BenchmarkByScoreRank
No benchmark matches
self-host onlyprice
59.6MTEB English v2
Sep 2025released
2,560Dimensions
41K tokensMax input
enLanguages
Rankingconfiguration unstated?
Full ranking →···
39F2LLM v2 4B84.240F2LLM 4B84.241Voyage 3 M Exp84Strong at
Alternatives?
ModelScoreCostPriceWhat changes
BetterQwen 3 Embedding 8BunstatedOpen+5%—$0.01Max input: 41K tokens → 33K tokens+2KOpenQZhou Embeddingunstated+9%——Max input: 41K tokens → 33K tokens+1BetterQwen 3 Embedding 0.6BunstatedOpen+3%—$0.01Max input: 41K tokens → 33K tokens+1BetterQwen 3 Embedding 4BunstatedOpen+5%—$0.02Max input: 41K tokens → 33K tokens+1
BetterJina Embeddings v5 Text NanounstatedOpen+5%—$0.02Max input: 41K tokens → 8K tokens+1ModelScoreCostPriceWhat changes
Nothing here yet.
ModelScoreCostPriceWhat changes
Qwen 3 Embedding 8BunstatedOpen+5%—$0.01Max input: 41K tokens → 33K tokens+2Qwen 3 Embedding 0.6BunstatedOpen+3%—$0.01Max input: 41K tokens → 33K tokens+1Qwen 3 Embedding 4BunstatedOpen+5%—$0.02Max input: 41K tokens → 33K tokens+1Jina Embeddings v5 Text NanounstatedOpen+5%—$0.02Max input: 41K tokens → 8K tokens+1Jina Embeddings v5 Text SmallunstatedOpen+5%—$0.05Max input: 41K tokens → 33K tokens+1ModelScoreCostPriceWhat changes
KQZhou EmbeddingunstatedOpen+9%——Max input: 41K tokens → 33K tokens+1iJasper Token Compression 600MunstatedOpen+5%——Max input: 41K tokens → 33K tokensQwen 3 Embedding 4BunstatedOpen+5%—$0.02Max input: 41K tokens → 33K tokens+1Qwen 3 Embedding 8BunstatedOpen+5%—$0.01Max input: 41K tokens → 33K tokens+2Jina Embeddings v5 Text NanounstatedOpen+5%—$0.02Max input: 41K tokens → 8K tokens+1ModelScoreCostPriceWhat changes
cF2LLM v2 8BunstatedOpensame——Memory (4-bit): 2.4 GB → 4.5 GBcF2LLM v2 14BunstatedOpensame——Memory (4-bit): 2.4 GB → 8.4 GBcF2LLM v2 1.7BunstatedOpensame——cF2LLM v2 4BunstatedOpensame——cF2LLM 1.7BunstatedOpensame——cF2LLM v2 0.6BunstatedOpensame——cF2LLM v2 330MunstatedOpen-2%——cF2LLM 0.6BunstatedOpen-2%——All codefuse-ai models →Run it yourself
estimateFits on✓ 8 GB (phone, laptop) · 8-bit✓ 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
History
2 versionsBenchmarks
in Embeddings & RetrievalFAQ
How much does F2LLM 4B cost?›
There is no per-unit API price: self-host only.
Is F2LLM 4B free to use?›
There is no free API. The weights are open, so you can run it yourself.
How good is F2LLM 4B, and what is it best at?›
#25 of 200 in Embeddings. Strongest at: Embeddings & Retrieval.
Is F2LLM 4B better than F2LLM v2 4B?›
On MTEB English v2 · STS · English, F2LLM 4B scores 84.2 vs 84.2 — about the same.
When was F2LLM 4B released? Is there a newer version?›
Released 2025-09-18. It is the current version in its line.
Is F2LLM 4B open source?›
Yes, the weights are open (Apache-2.0 licence).
Can I run F2LLM 4B locally?›
The weights are open and can be self-hosted; hardware needs are not confirmed yet.
What is F2LLM 4B?›
F2LLM 4B is an open-weights embeddings & retrieval model from codefuse-ai, released Sep 2025.
What are the best alternatives to F2LLM 4B?›
Qwen 3 Embedding 8B (better), QZhou Embedding (open weights).