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LFM2-ColBERT-350M▾
Jina Embeddings v4 Jina Embeddings v3 Qwen3-Embedding-8B Gemini Embedding 001 mxbai-embed-large-v1 Cohere Embed v4 Cohere Embed English v3 Cohere Embed Multilingual v3 Voyage 3 Large GTE-Qwen2-7B-instruct Linq-Embed-Mistral✓ LFM2-ColBERT-350M
LFM2-ColBERT-350MLiquid AI
Voyage 3 Large▾
Jina Embeddings v4 Jina Embeddings v3 Qwen3-Embedding-8B Gemini Embedding 001 mxbai-embed-large-v1 Cohere Embed v4 Cohere Embed English v3 Cohere Embed Multilingual v3✓ Voyage 3 Large GTE-Qwen2-7B-instruct Linq-Embed-Mistral LFM2-ColBERT-350M
Voyage 3 LargeVoyage AI
LFM2-ColBERT-350M▾
Jina Embeddings v4 Jina Embeddings v3 Qwen3-Embedding-8B Gemini Embedding 001 mxbai-embed-large-v1 Cohere Embed v4 Cohere Embed English v3 Cohere Embed Multilingual v3 Voyage 3 Large GTE-Qwen2-7B-instruct Linq-Embed-Mistral✓ LFM2-ColBERT-350M
LFM2-ColBERT-350MLiquid AI
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SPECIFICATIONS
Max dimension — 2K —
Max tokens — 32K —
Parameters 350M — 350M
License Apache 2.0 Proprietary Apache 2.0
EMBEDDING TYPES
Types
LateColBERT
Dense
LateColBERT
MATRYOSHKA DIMENSIONS
Available sizes —
25651210242048
—
INPUT MODALITIES
Text ✓ ✓ ✓
Image — — —
PDF — — —
OUTPUT TYPES
Single vector — ✓ —
Multi vector ✓ — ✓
LANGUAGE SUPPORT
Languages 🌍 Multi 🌍 Multi 🌍 Multi
PRICING
Per 1M tokens — — —