← Back to Models Compare Embedding Models
Side-by-side comparison of embedding model specifications
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mxbai-embed-large-v1▾
mxbai-embed-large-v1Mixedbread
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mxbai-embed-large-v1▾
mxbai-embed-large-v1Mixedbread
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LFM2-ColBERT-350M▾
LFM2-ColBERT-350MLiquid AI
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+Add
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| SPECIFICATIONS |
| Max dimension |
1K |
1K |
— |
|
| Max tokens |
512 |
512 |
— |
|
| Parameters |
335M |
335M |
350M |
|
| License |
Apache 2.0 |
Apache 2.0 |
Apache 2.0 |
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| EMBEDDING TYPES |
| Types |
Dense
|
Dense
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LateColBERT
|
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| MATRYOSHKA DIMENSIONS |
| Available sizes |
641282565121024
|
641282565121024
|
— |
|
| INPUT MODALITIES |
| Text |
✓ |
✓ |
✓ |
|
| Image |
— |
— |
— |
|
| PDF |
— |
— |
— |
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| OUTPUT TYPES |
| Single vector |
✓ |
✓ |
— |
|
| Multi vector |
— |
— |
✓ |
|
| LANGUAGE SUPPORT |
| Languages |
— |
— |
🌍 Multi |
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| PRICING |
| Per 1M tokens |
— |
— |
— |
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| BENCHMARKS |
| MTEB AVG |
64.68 |
64.68 |
— |
|
| MTEB RETRIEVAL |
54.39 |
54.39 |
— |
|
| MTEB STS |
85.00 |
85.00 |
— |
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