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Nano Em1 0.6B v2

Jul 2026
KNano Em1 0.6B v2
Compare in
on
self-host onlyprice
43.2MTEB English v2
Jul 2026released
1,024Dimensions
41K tokensMax input
enLanguages

Rankingconfiguration unstated?

Full ranking →
1Ingot 8B R393.82Conan Embedding v293.53QZhou Embedding92.44Voyage Large 2 Instruct91.35Jasper Token Compression 600M90.2
···
138F2LLM 4B83.8139Nano Em1 0.6B v283.7140Nomic Embed Text v1 Unsupervised83.7

Strong at

C
Embeddings & Retrieval#133 of 200

Alternatives?

ModelScoreCostPriceWhat changes
BetterEmbeddingGemma 300MunstatedOpen+4%—$0.002Max input: 41K tokens → 2K tokens+1KOpenQZhou Embeddingunstated+10%——Max input: 41K tokens → 33K tokens+1BetterBge Base En v1.5unstatedOpen+3%—$0.005Max input: 41K tokens → 1K tokensBetterBge En IclunstatedOpen+5%—$0.01Max input: 41K tokens → 33K tokens+2BetterQwen 3 Embedding 8BunstatedOpen+5%—$0.01Max input: 41K tokens → 33K tokens+2

Run it yourself

estimate
Fits 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 versions
84868890Release dateMTEB English · Pair Classificationv2v2.1
84868890Release dateMTEB English · Pair Classificationv2v2.1

Benchmarks

in Embeddings & Retrieval
BEIR · Mean over tasks · English40.6#143
BEIR · Mean over task types · English40.6#143
BEIR · Retrieval · English40.6#143
MTEB Medical v1 · Clustering · English40#53

FAQ

How much does Nano Em1 0.6B v2 cost?›

There is no per-unit API price: self-host only.

Is Nano Em1 0.6B v2 free to use?›

There is no free API. The weights are open, so you can run it yourself.

How good is Nano Em1 0.6B v2, and what is it best at?›

#133 of 200 in Embeddings.

Is Nano Em1 0.6B v2 better than F2LLM 4B?›

On MTEB English v2 · Pair Classification · English, Nano Em1 0.6B v2 scores 83.7 vs 83.8 — about the same.

When was Nano Em1 0.6B v2 released? Is there a newer version?›

Released 2026-07-20. It is the current version in its line.

Is Nano Em1 0.6B v2 open source?›

Yes, the weights are open (Apache-2.0 licence).

Can I run Nano Em1 0.6B v2 locally?›

The weights are open and can be self-hosted; hardware needs are not confirmed yet.

What is Nano Em1 0.6B v2?›

Nano Em1 0.6B v2 is an open-weights embeddings & retrieval model from KiteFishAI, released Jul 2026.

What are the best alternatives to Nano Em1 0.6B v2?›

EmbeddingGemma 300M (better), QZhou Embedding (open weights).