mLateOn measured on 9 of 261 Embeddings benchmarks9
BenchmarkByScoreRank
No benchmark matches
self-host onlyprice
57.6BEIR
Jul 2026released
8K tokensMax input
en, es, fr +6Languages
Alternatives?
ModelScoreCostPriceWhat changes
Betterpplx Embed v1 0.6BOpen+4%—$0.004Languages: not verified+1
OpenQwen 3 Embedding 8Bunstated+12%—$0.01Languages: not verified+1BetterQwen 3 Embedding 0.6BunstatedOpen+5%—$0.01Languages: not verified+1BetterQwen 3 Embedding 4BunstatedOpen+11%—$0.02Languages: not verified+1Betterpplx Embed v1 4BOpen+8%—$0.03Languages: not verified+1ModelScoreCostPriceWhat changes
Nothing here yet.
ModelScoreCostPriceWhat changes
pplx Embed v1 0.6BOpen+4%—$0.004Languages: not verified+1Qwen 3 Embedding 8BunstatedOpen+12%—$0.01Languages: not verified+1Qwen 3 Embedding 0.6BunstatedOpen+5%—$0.01Languages: not verified+1Qwen 3 Embedding 4BunstatedOpen+11%—$0.02Languages: not verified+1pplx Embed v1 4BOpen+8%—$0.03Languages: not verified+1ModelScoreCostPriceWhat changes
Qwen 3 Embedding 8BunstatedOpen+12%—$0.01Languages: not verified+1cC2LLM 7BOpen+12%——Languages: loses es, fr, de +5+1cF2LLM v2 8BunstatedOpen+12%——Memory (4-bit): 0.2 GB → 4.5 GBcF2LLM v2 4BunstatedOpen+12%——Memory (4-bit): 0.2 GB → 2.4 GBQwen 3 Embedding 4BunstatedOpen+11%—$0.02Languages: not verified+1ModelScoreCostPriceWhat changes
lLateOn CodeOpen+3%——Max input: 8K tokens → 2K tokens+1lmDenseOnOpen-3%——lLateOn Code EdgeOpen-9%——Max input: 8K tokens → 2K tokens+1lLateOn Code PretrainOpen-15%——Max input: 8K tokens → 2K tokens+1lLateOn Code Edge PretrainOpen-24%——Max input: 8K tokens → 2K tokens+1lDenseOnOpenn/a——Max input: 8K tokens → 1K tokens+1lDenseOn UnsupervisedOpenn/a——Max input: 8K tokens → 1K tokens+1lLateOnOpenn/a——Max input: 8K tokens → 0K tokens+1All lightonai 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 & RetrievalBEIR · Retrieval · English57.6#24
FAQ
How much does mLateOn cost?›
There is no per-unit API price: self-host only.
Is mLateOn free to use?›
There is no free API. The weights are open, so you can run it yourself.
How good is mLateOn, and what is it best at?›
#24 of 194 in Embeddings.
Is mLateOn better than Qodo Embed 1 7B?›
On CoIR · Mean over task types · multilingual (9 languages), mLateOn scores 71.3 vs 71.3 — about the same.
When was mLateOn released? Is there a newer version?›
Released 2026-07-30. It is the current version in its line.
Is mLateOn open source?›
Yes, the weights are open (Apache-2.0 licence).
Can I run mLateOn locally?›
The weights are open and can be self-hosted; hardware needs are not confirmed yet.
What is mLateOn?›
mLateOn is an open-weights embeddings & retrieval model from lightonai, released Jul 2026.
What are the best alternatives to mLateOn?›
pplx Embed v1 0.6B (better), Qwen 3 Embedding 8B (open weights).