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 →···
14Qwen 3 Embedding 4B60.615F2LLM 0.6B59.916F2LLM v2 80M59Strong at
Alternatives?
ModelScoreCostPriceWhat changes
BetterQwen 3 Embedding 8BunstatedOpen+7%—$0.01Max input: 41K tokens → 33K tokens+2cOpenF2LLM v2 330Munstated+8%——cBetterF2LLM v2 14BunstatedOpen+8%——Memory (4-bit): 0.4 GB → 8.4 GBcBetterF2LLM v2 1.7BunstatedOpen+8%——Memory (4-bit): 0.4 GB → 1 GBcBetterF2LLM v2 4BunstatedOpen+8%——Memory (4-bit): 0.4 GB → 2.4 GBModelScoreCostPriceWhat changes
Nothing here yet.
ModelScoreCostPriceWhat changes
Qwen 3 Embedding 8BunstatedOpen+7%—$0.01Max input: 41K tokens → 33K tokens+2cF2LLM v2 14BunstatedOpen+8%——Memory (4-bit): 0.4 GB → 8.4 GBcF2LLM v2 330MunstatedOpen+8%——cF2LLM v2 1.7BunstatedOpen+8%——Memory (4-bit): 0.4 GB → 1 GBcF2LLM v2 4BunstatedOpen+8%——Memory (4-bit): 0.4 GB → 2.4 GBModelScoreCostPriceWhat changes
cF2LLM v2 330MunstatedOpen+8%——cF2LLM v2 1.7BunstatedOpen+8%——Memory (4-bit): 0.4 GB → 1 GBcF2LLM v2 4BunstatedOpen+8%——Memory (4-bit): 0.4 GB → 2.4 GBcC2LLM 7BOpen+8%——Max input: 41K tokens → 33K tokens+1nSplade Code 8BOpen+8%——Languages: not verified+1ModelScoreCostPriceWhat changes
cF2LLM v2 14BunstatedOpen+8%——Memory (4-bit): 0.4 GB → 8.4 GBcF2LLM v2 330MunstatedOpen+8%——cF2LLM v2 1.7BunstatedOpen+8%——Memory (4-bit): 0.4 GB → 1 GBcF2LLM v2 4BunstatedOpen+8%——Memory (4-bit): 0.4 GB → 2.4 GBcC2LLM 7BOpen+8%——Max input: 41K tokens → 33K tokens+1cF2LLM v2 0.6BunstatedOpen+8%——cF2LLM v2 8BunstatedOpen+7%——Memory (4-bit): 0.4 GB → 4.5 GBcC2LLM 0.5BOpen+4%——Max input: 41K tokens → 33K tokensAll 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 Qwen 3 Embedding 4B?›
On CoREB v1 · Retrieval · multilingual (6 languages), F2LLM 0.6B scores 59.9 vs 60.6 — 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?›
Qwen 3 Embedding 8B (better), F2LLM v2 330M (open weights).