Nano Em1 0.6B v2.1 measured on 8 of 261 Embeddings benchmarks8
BenchmarkByScoreRank
No benchmark matches
self-host onlyprice
46.6MTEB English v2
Aug 2026released
1,024Dimensions
8K tokensMax input
enLanguages
Rankingconfiguration unstated?
Full ranking →···
39Giga Embeddings Instruct 3B 082634.240Nano Em1 0.6B v2.134.241Giga Embeddings Instruct 480M 082634.1Strong at
Alternatives?
ModelScoreCostPriceWhat changes
BetterEmbeddingGemma 300MunstatedOpen+10%—$0.002Max input: 8K tokens → 2K tokens+1aOpenLGAI Embedding Previewunstated+14%——Memory (4-bit): 0.4 GB → 4.3 GBiBetterE5 Mistral 7B InstructunstatedOpen+7%—$0.022Memory (4-bit): 0.4 GB → 4.3 GBBetterText Multilingual Embedding 002unstated+8%—$0.025Max input: 8K tokens → 2K tokens+1BetterGemini Embedding 001unstated+12%—$0.15Max input: 8K tokens → 2K tokens+1ModelScoreCostPriceWhat changes
Nothing here yet.
ModelScoreCostPriceWhat changes
EmbeddingGemma 300MunstatedOpen+10%—$0.002Max input: 8K tokens → 2K tokens+1iE5 Mistral 7B InstructunstatedOpen+7%—$0.022Memory (4-bit): 0.4 GB → 4.3 GBText Multilingual Embedding 002unstated+8%—$0.025Max input: 8K tokens → 2K tokens+1Gemini Embedding 001unstated+12%—$0.15Max input: 8K tokens → 2K tokens+1aLGAI Embedding PreviewunstatedOpen+14%——Memory (4-bit): 0.4 GB → 4.3 GBModelScoreCostPriceWhat changes
aLGAI Embedding PreviewunstatedOpen+14%——Memory (4-bit): 0.4 GB → 4.3 GBIICT TIME And Querit Embedding v1unstatedOpen+11%——Languages: not verified+1aGiga Embeddings InstructunstatedOpen+10%——Max input: 8K tokens → 4K tokens+1EmbeddingGemma 300MunstatedOpen+10%—$0.002Max input: 8K tokens → 2K tokens+1LLinq Embed MistralunstatedOpen+9%——Memory (4-bit): 0.4 GB → 4.3 GBRun 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 Nano Em1 0.6B v2.1 cost?›
There is no per-unit API price: self-host only.
Is Nano Em1 0.6B v2.1 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 v2.1, and what is it best at?›
#123 of 200 in Embeddings.
Is Nano Em1 0.6B v2.1 better than Giga Embeddings Instruct 3B 0826?›
On MTEB English v2 · Summarization · English, Nano Em1 0.6B v2.1 scores 34.2 vs 34.2 — about the same.
When was Nano Em1 0.6B v2.1 released? Is there a newer version?›
Released 2026-08-11. It is the current version in its line.
Is Nano Em1 0.6B v2.1 open source?›
Yes, the weights are open (Apache-2.0 licence).
Can I run Nano Em1 0.6B v2.1 locally?›
The weights are open and can be self-hosted; hardware needs are not confirmed yet.
What is Nano Em1 0.6B v2.1?›
Nano Em1 0.6B v2.1 is an open-weights embeddings & retrieval model from KiteFishAI, released Aug 2026.
What are the best alternatives to Nano Em1 0.6B v2.1?›
EmbeddingGemma 300M (better), LGAI Embedding Preview (open weights).