Mmbert Embed 32K 2d Matryoshka measured on 7 of 194 Embeddings benchmarks7
BenchmarkByScoreRank
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price not verifiedprice
19.5MTEB Portuguese v1
Jan 2026released
768Dimensions
33K tokensMax input
Ranking?
Full ranking →···
27Paraphrase Multilingual MiniLM L12 v276.628Mmbert Embed 32K 2d Matryoshka76.429Bekko Embedding v1 A25m75.1Alternatives?
ModelScoreCostPriceWhat changes
BetterEmbeddingGemma 300MunstatedOpen+6%—$0.002Max input: 33K tokens → 2K tokensiOpenE5 Large Matryoshka Sts Pt+15%——Max input: 33K tokens → 1K tokens+1
BetterQwen 3 Embedding 8BunstatedOpen+13%—$0.01Memory (4-bit): 0.2 GB → 4.5 GBiBetterMultilingual E5 Large InstructunstatedOpen+8%—$0.01Max input: 33K tokens → 1K tokens+1BetterQwen 3 Embedding 0.6BunstatedOpen+6%—$0.01Memory (4-bit): 0.2 GB → 0.4 GBModelScoreCostPriceWhat changes
Nothing here yet.
ModelScoreCostPriceWhat changes
EmbeddingGemma 300MunstatedOpen+6%—$0.002Max input: 33K tokens → 2K tokensQwen 3 Embedding 8BunstatedOpen+13%—$0.01Memory (4-bit): 0.2 GB → 4.5 GBiMultilingual E5 Large InstructunstatedOpen+8%—$0.01Max input: 33K tokens → 1K tokens+1Qwen 3 Embedding 0.6BunstatedOpen+6%—$0.01Memory (4-bit): 0.2 GB → 0.4 GBiMultilingual E5 LargeunstatedOpen+4%—$0.01Max input: 33K tokens → 1K tokens+1ModelScoreCostPriceWhat changes
iE5 Large Matryoshka Sts PtOpen+15%——Max input: 33K tokens → 1K tokens+1PSerafim 900M Portuguese Pt Sentence EncoderOpen+14%——Max input: 33K tokens → 0K tokens+1rLegal BERTimbau Sts Large Ma v3Open+13%——Max input: 33K tokens → 1K tokensiBERTimbau Large Matryoshka Sts PtOpen+13%——Max input: 33K tokens → 1K tokensQwen 3 Embedding 8BunstatedOpen+13%—$0.01Memory (4-bit): 0.2 GB → 4.5 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
Benchmarks
in Embeddings & RetrievalFAQ
How much does Mmbert Embed 32K 2d Matryoshka cost?›
There is no per-unit API price: price not verified.
How good is Mmbert Embed 32K 2d Matryoshka, and what is it best at?›
#95 of 193 in Embeddings.
Is Mmbert Embed 32K 2d Matryoshka better than Paraphrase Multilingual MiniLM L12 v2?›
On MTEB Portuguese v1 · STS · Portuguese, Mmbert Embed 32K 2d Matryoshka scores 76.4 vs 76.6 — about the same.
When was Mmbert Embed 32K 2d Matryoshka released? Is there a newer version?›
Released 2026-01-26. It is the current version in its line.
Is Mmbert Embed 32K 2d Matryoshka open source?›
Yes, the weights are open (Apache-2.0 licence).
Can I run Mmbert Embed 32K 2d Matryoshka locally?›
The weights are open and can be self-hosted; hardware needs are not confirmed yet.
What is Mmbert Embed 32K 2d Matryoshka?›
Mmbert Embed 32K 2d Matryoshka is an open-weights embeddings & retrieval model from llm-semantic-router, released Jan 2026.
What are the best alternatives to Mmbert Embed 32K 2d Matryoshka?›
EmbeddingGemma 300M (better), E5 Large Matryoshka Sts Pt (open weights).