KaLM Embedding Multilingual Mini Instruct v2.5 measured on 21 of 261 Embeddings benchmarks21
BenchmarkByScoreRank
Retrieval8
Other13
No benchmark matches
self-host onlyprice
58.5MTEB English v2
Sep 2025released
896Dimensions
33K tokensMax input
en, zhLanguages
Rankingconfiguration unstated?
Full ranking →···
42GIST Large Embedding v086.743KaLM Embedding Multilingual Mini Instruct v2.586.644Text Multilingual Embedding 00286.6Strong at
Alternatives?
ModelScoreCostPriceWhat changes
VBetterVoyage Large 2 Instructunstated+5%—$0.12Max input: 33K tokens → 16K tokens+1KOpenQZhou Embeddingunstated+7%——Memory (4-bit): 0.3 GB → 4.2 GBjBetterIngot 8B R3unstated+8%——Languages: not verifiedTBetterConan Embedding v2unstated+8%——iBetterJasper Token Compression 600MunstatedOpen+4%——Memory (4-bit): 0.3 GB → 0.4 GBModelScoreCostPriceWhat changes
Nothing here yet.
ModelScoreCostPriceWhat changes
VVoyage Large 2 Instructunstated+5%—$0.12Max input: 33K tokens → 16K tokens+1jIngot 8B R3unstated+8%——Languages: not verifiedTConan Embedding v2unstated+8%——KQZhou EmbeddingunstatedOpen+7%——Memory (4-bit): 0.3 GB → 4.2 GBiJasper Token Compression 600MunstatedOpen+4%——Memory (4-bit): 0.3 GB → 0.4 GBModelScoreCostPriceWhat changes
KQZhou EmbeddingunstatedOpen+7%——Memory (4-bit): 0.3 GB → 4.2 GBiJasper Token Compression 600MunstatedOpen+4%——Memory (4-bit): 0.3 GB → 0.4 GBKNano Em1 0.6B v2.1unstatedOpen+4%——Max input: 33K tokens → 8K tokens+2
NV Embed v2unstatedOpen+2%——Languages: loses zh+1aLGAI Embedding PreviewunstatedOpen+2%——Languages: loses zh+1Run 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 KaLM Embedding Multilingual Mini Instruct v2.5 cost?›
There is no per-unit API price: self-host only.
Is KaLM Embedding Multilingual Mini Instruct v2.5 free to use?›
There is no free API. The weights are open, so you can run it yourself.
How good is KaLM Embedding Multilingual Mini Instruct v2.5, and what is it best at?›
#35 of 200 in Embeddings. Strongest at: Embeddings & Retrieval.
Is KaLM Embedding Multilingual Mini Instruct v2.5 better than GIST Large Embedding v0?›
On MTEB English v2 · Pair Classification · English, KaLM Embedding Multilingual Mini Instruct v2.5 scores 86.6 vs 86.7 — about the same.
When was KaLM Embedding Multilingual Mini Instruct v2.5 released? Is there a newer version?›
Released 2025-09-30. It is the current version in its line.
Is KaLM Embedding Multilingual Mini Instruct v2.5 open source?›
Yes, the weights are open (Apache-2.0 licence).
Can I run KaLM Embedding Multilingual Mini Instruct v2.5 locally?›
The weights are open and can be self-hosted; hardware needs are not confirmed yet.
What is KaLM Embedding Multilingual Mini Instruct v2.5?›
KaLM Embedding Multilingual Mini Instruct v2.5 is an open-weights embeddings & retrieval model from KaLM-Embedding, released Sep 2025.
What are the best alternatives to KaLM Embedding Multilingual Mini Instruct v2.5?›
Voyage Large 2 Instruct (better), QZhou Embedding (open weights).