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 →···
54E5 Small v233.255F2LLM 4B33.256Bge Large En v1.533.1Strong at
Alternatives?
ModelScoreCostPriceWhat changes
BetterEmbeddingGemma 300MunstatedOpen+13%—$0.002Max input: 41K tokens → 2K tokens+1aOpenLGAI Embedding Previewunstated+17%——Max input: 41K tokens → 33K tokens+1iBetterE5 Mistral 7B InstructunstatedOpen+10%—$0.022Max input: 41K tokens → 33K tokens+1BetterText Multilingual Embedding 002unstated+11%—$0.025Max input: 41K tokens → 2K tokens+1BetterGemini Embedding 001unstated+15%—$0.15Max input: 41K tokens → 2K tokens+1ModelScoreCostPriceWhat changes
Nothing here yet.
ModelScoreCostPriceWhat changes
EmbeddingGemma 300MunstatedOpen+13%—$0.002Max input: 41K tokens → 2K tokens+1iE5 Mistral 7B InstructunstatedOpen+10%—$0.022Max input: 41K tokens → 33K tokens+1Text Multilingual Embedding 002unstated+11%—$0.025Max input: 41K tokens → 2K tokens+1Gemini Embedding 001unstated+15%—$0.15Max input: 41K tokens → 2K tokens+1aLGAI Embedding PreviewunstatedOpen+17%——Max input: 41K tokens → 33K tokens+1ModelScoreCostPriceWhat changes
aLGAI Embedding PreviewunstatedOpen+17%——Max input: 41K tokens → 33K tokens+1IICT TIME And Querit Embedding v1unstatedOpen+14%——Max input: 41K tokens → 33K tokens+1aGiga Embeddings InstructunstatedOpen+14%——Max input: 41K tokens → 4K tokensEmbeddingGemma 300MunstatedOpen+13%—$0.002Max input: 41K tokens → 2K tokens+1LLinq Embed MistralunstatedOpen+12%——Max input: 41K tokens → 33K tokens+1ModelScoreCostPriceWhat changes
cF2LLM v2 1.7BunstatedOpen+9%——cF2LLM v2 4BunstatedOpen+4%——cF2LLM v2 8BunstatedOpensame——Memory (4-bit): 2.4 GB → 4.5 GBcF2LLM v2 0.6BunstatedOpensame——cF2LLM 1.7BunstatedOpen-10%——cF2LLM v2 80MunstatedOpen-13%——cF2LLM v2 160MunstatedOpen-14%——cF2LLM v2 14BunstatedOpen-14%——Memory (4-bit): 2.4 GB → 8.4 GBAll 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 E5 Small v2?›
On MTEB English v2 · Summarization · English, F2LLM 4B scores 33.2 vs 33.2 — 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?›
EmbeddingGemma 300M (better), LGAI Embedding Preview (open weights).