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Compare Embedding Models

Side-by-side comparison of embedding model specifications

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
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
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
Gemini Embedding 001▾
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
Gemini Embedding 001Google
SPECIFICATIONS
Max dimension 2K — — 3K
Max tokens 128K — — 2K
Parameters — 350M 350M —
License Proprietary Apache 2.0 Apache 2.0 Proprietary
EMBEDDING TYPES
Types
Dense
LateColBERT
LateColBERT
Dense
MATRYOSHKA DIMENSIONS
Available sizes
25651210241536
— —
1282565127681024153620483072
INPUT MODALITIES
Text ✓ ✓ ✓ ✓
Image ✓ — — —
PDF ✓ — — —
OUTPUT TYPES
Single vector ✓ — — ✓
Multi vector — ✓ ✓ —
LANGUAGE SUPPORT
Languages 🌍 100+ 🌍 Multi 🌍 Multi 🌍 Multi
PRICING
Per 1M tokens — — — $0.150
BENCHMARKS
MTEB 1536D — — — 68.17
MTEB 2048D — — — 68.16
MTEB 768D — — — 67.99
MTEB MULTILINGUAL AVG — — — 68.32