F2LLM 0.6B measured on 19 of 261 Embeddings benchmarks19
BenchmarkByScoreRank
No benchmark matches
self-host onlyprice
55.7MTEB English v2
Sep 2025released
1,024Dimensions
41K tokensMax input
enLanguages
Rankingconfiguration unstated?
Full ranking →···
13Jina Embeddings v5 Omni Small90.814F2LLM 0.6B90.615F2LLM v2 0.6B90.5Strong at
Alternatives?
ModelScoreCostPriceWhat changes
VBetterVoyage 3 M Expunstated+5%——Max input: 41K tokens → 32K tokens+1cOpenF2LLM 4Bunstated+1%——Memory (4-bit): 0.4 GB → 2.4 GBcOpenF2LLM v2 4Bunstated+1%——Memory (4-bit): 0.4 GB → 2.4 GBaOpenGiga Embeddings Instruct 10B A1.8B 0826unstated+1%——Max input: 41K tokens → 8K tokens+1cOpenF2LLM v2 8Bunstatedsame——Memory (4-bit): 0.4 GB → 4.5 GBModelScoreCostPriceWhat changes
Nothing here yet.
ModelScoreCostPriceWhat changes
VVoyage 3 M Expunstated+5%——Max input: 41K tokens → 32K tokens+1ModelScoreCostPriceWhat changes
cF2LLM 4BunstatedOpen+1%——Memory (4-bit): 0.4 GB → 2.4 GBcF2LLM v2 4BunstatedOpen+1%——Memory (4-bit): 0.4 GB → 2.4 GBaGiga Embeddings Instruct 10B A1.8B 0826unstatedOpen+1%——Max input: 41K tokens → 8K tokens+1cF2LLM v2 8BunstatedOpensame——Memory (4-bit): 0.4 GB → 4.5 GBaGiga Embeddings Instruct 3B 0826unstatedOpensame——Max input: 41K tokens → 8K tokens+1ModelScoreCostPriceWhat changes
cF2LLM v2 14BunstatedOpen+1%——Memory (4-bit): 0.4 GB → 8.4 GBcF2LLM 4BunstatedOpen+1%——Memory (4-bit): 0.4 GB → 2.4 GBcF2LLM v2 4BunstatedOpen+1%——Memory (4-bit): 0.4 GB → 2.4 GBcF2LLM v2 8BunstatedOpensame——Memory (4-bit): 0.4 GB → 4.5 GBcF2LLM v2 1.7BunstatedOpensame——Memory (4-bit): 0.4 GB → 1 GBcF2LLM 1.7BunstatedOpensame——Memory (4-bit): 0.4 GB → 1 GBcF2LLM v2 0.6BunstatedOpensame——cF2LLM v2 330MunstatedOpensame——All codefuse-ai 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
History
2 versionsBenchmarks
in Embeddings & RetrievalFAQ
How much does F2LLM 0.6B cost?›
There is no per-unit API price: self-host only.
Is F2LLM 0.6B free to use?›
There is no free API. The weights are open, so you can run it yourself.
How good is F2LLM 0.6B, and what is it best at?›
#52 of 200 in Embeddings.
Is F2LLM 0.6B better than Jina Embeddings v5 Omni Small?›
On MTEB English v2 · Classification · English, F2LLM 0.6B scores 90.6 vs 90.8 — about the same.
When was F2LLM 0.6B released? Is there a newer version?›
Released 2025-09-18. It is the current version in its line.
Is F2LLM 0.6B open source?›
Yes, the weights are open (Apache-2.0 licence).
Can I run F2LLM 0.6B locally?›
The weights are open and can be self-hosted; hardware needs are not confirmed yet.
What is F2LLM 0.6B?›
F2LLM 0.6B is an open-weights embeddings & retrieval model from codefuse-ai, released Sep 2025.
What are the best alternatives to F2LLM 0.6B?›
Voyage 3 M Exp (better), F2LLM 4B (open weights).