mSlideOn measured on 10 of 194 Embeddings benchmarks10
BenchmarkByScoreRank
Retrieval1
Other9
No benchmark matches
price not verifiedprice
56BEIR
—released
8K tokensMax input
en, es, fr +7Languages
Alternatives?
ModelScoreCostPriceWhat changes
ModelScoreCostPriceWhat changes
Nothing here yet.
ModelScoreCostPriceWhat changes
ModelScoreCostPriceWhat changes
ModelScoreCostPriceWhat changes
lmLateOnOpen+3%——Languages: loses sv, no, codelLateOnOpen+2%——Max input: 8K tokens → 0K tokens+1lmDenseOnOpensame——Languages: loses sv, no, codelSlideOnOpensame——Languages: loses es, fr, de +6lDenseOnOpensame——Max input: 8K tokens → 1K tokens+1lColBERT ZeroOpensame——Max input: 8K tokens → 1K tokens+1lGTE ModernColBERT v1Open-2%——Max input: 8K tokens → 0K tokens+1lColBERT Zero SupervisedOpen-7%——Max input: 8K tokens → 1K 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 & RetrievalFAQ
How much does mSlideOn cost?›
There is no per-unit API price: price not verified.
How good is mSlideOn, and what is it best at?›
#34 of 196 in Embeddings.
Is mSlideOn better than DenseOn?›
On BEIR · Mean over task types · English, mSlideOn scores 56 vs 56.2 — about the same.
Is mSlideOn open source?›
Yes, the weights are open (Apache-2.0 licence).
Can I run mSlideOn locally?›
The weights are open and can be self-hosted; hardware needs are not confirmed yet.
What is mSlideOn?›
mSlideOn is an open-weights embeddings & retrieval model from lightonai.
What are the best alternatives to mSlideOn?›
Qwen 3 Embedding 8B (better), NV Embed v2 (open weights).