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Compare Embedding Models

Side-by-side comparison of embedding model specifications

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 Jina Embeddings v5 Omni Small Jina Embeddings v5 Omni Nano Jina Embeddings v5 Omni Nano Text-Matching Jina Embeddings v5 Text Small Jina Embeddings v5 Text Nano Jina Embeddings v5 Text Small Text-Matching
LFM2-ColBERT-350MLiquid AI
GTE-Qwen2-7B-instruct▾
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 v5 Omni Small Jina Embeddings v5 Omni Nano Jina Embeddings v5 Omni Nano Text-Matching Jina Embeddings v5 Text Small Jina Embeddings v5 Text Nano Jina Embeddings v5 Text Small Text-Matching
GTE-Qwen2-7B-instructAlibaba
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SPECIFICATIONS
Max dimension — 4K
Max tokens — 32K
Parameters 350M 7B
License Apache 2.0 Apache 2.0
EMBEDDING TYPES
Types
LateColBERT
Dense
MATRYOSHKA DIMENSIONS
Available sizes — —
INPUT MODALITIES
Text ✓ ✓
Image — —
PDF — —
OUTPUT TYPES
Single vector — ✓
Multi vector ✓ —
LANGUAGE SUPPORT
Languages 🌍 Multi 🌍 Multi
PRICING
Per 1M tokens — —
BENCHMARKS
CMTEB 35 — 72.05
MTEB 56 — 70.24
MTEB FR — 68.25
MTEB PL — 67.86