← Back to Models Compare Embedding Models
Side-by-side comparison of embedding model specifications
|
LFM2-ColBERT-350M▾
LFM2-ColBERT-350MLiquid AI
|
mxbai-embed-large-v1▾
mxbai-embed-large-v1Mixedbread
|
Cohere Embed v4▾
Cohere Embed v4Cohere
|
+Add
|
| SPECIFICATIONS |
| Max dimension |
— |
1K |
2K |
|
| Max tokens |
— |
512 |
128K |
|
| Parameters |
350M |
335M |
— |
|
| License |
Apache 2.0 |
Apache 2.0 |
Proprietary |
|
| EMBEDDING TYPES |
| Types |
LateColBERT
|
Dense
|
Dense
|
|
| MATRYOSHKA DIMENSIONS |
| Available sizes |
— |
641282565121024
|
25651210241536
|
|
| INPUT MODALITIES |
| Text |
✓ |
✓ |
✓ |
|
| Image |
— |
— |
✓ |
|
| PDF |
— |
— |
✓ |
|
| OUTPUT TYPES |
| Single vector |
— |
✓ |
✓ |
|
| Multi vector |
✓ |
— |
— |
|
| LANGUAGE SUPPORT |
| Languages |
🌍 Multi |
— |
🌍 100+ |
|
| PRICING |
| Per 1M tokens |
— |
— |
— |
|
| BENCHMARKS |
| MTEB AVG |
— |
64.68 |
— |
|
| MTEB RETRIEVAL |
— |
54.39 |
— |
|
| MTEB STS |
— |
85.00 |
— |
|