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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 English 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 English v3Cohere
Jina Embeddings 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
Jina Embeddings v4Jina AI
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SPECIFICATIONS
Max dimension — 1K 2K
Max tokens — 512 33K
Parameters 350M — 3.8B
License Apache 2.0 Proprietary Apache 2.0
EMBEDDING TYPES
Types
LateColBERT
Dense
DenseLate
MATRYOSHKA DIMENSIONS
Available sizes — —
12825651210242048
INPUT MODALITIES
Text ✓ ✓ ✓
Image — ✓ ✓
PDF — — ✓
OUTPUT TYPES
Single vector — ✓ ✓
Multi vector ✓ — ✓
LANGUAGE SUPPORT
Languages 🌍 Multi — 🌍 29+
PRICING
Per 1M tokens — — $0.050
BENCHMARKS
COIR — — 71.59
JINA VDR — — 84.11
LONGEMBED — — 67.11
MMTEB — — 66.49
MTEB AVG — 64.47 —
MTEB EN — — 55.97
MTEB RETRIEVAL — 55.00 —
VIDORE — — 90.17