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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
Cohere Embed Multilingual v3▾
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
Cohere Embed Multilingual v3Cohere
Cohere Embed v4▾
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
Cohere Embed v4Cohere
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SPECIFICATIONS
Max dimension — 1K 2K
Max tokens — 512 128K
Parameters 350M — —
License Apache 2.0 Proprietary Proprietary
EMBEDDING TYPES
Types
LateColBERT
Dense
Dense
MATRYOSHKA DIMENSIONS
Available sizes — —
25651210241536
INPUT MODALITIES
Text ✓ ✓ ✓
Image — ✓ ✓
PDF — — ✓
OUTPUT TYPES
Single vector — ✓ ✓
Multi vector ✓ — —
LANGUAGE SUPPORT
Languages 🌍 Multi 🌍 100+ 🌍 100+
PRICING
Per 1M tokens — — —