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Compare Embedding Models

Side-by-side comparison of embedding model specifications

Linq-Embed-Mistral▾
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
Linq-Embed-MistralLinq 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
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
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SPECIFICATIONS
Max dimension 4K 2K 3K
Max tokens 4K 32K 2K
Parameters 7B — —
License Apache 2.0 Proprietary Proprietary
EMBEDDING TYPES
Types
Dense
Dense
Dense
MATRYOSHKA DIMENSIONS
Available sizes —
25651210242048
1282565127681024153620483072
INPUT MODALITIES
Text ✓ ✓ ✓
Image — — —
PDF — — —
OUTPUT TYPES
Single vector ✓ ✓ ✓
Multi vector — — —
LANGUAGE SUPPORT
Languages 🌍 Multi 🌍 Multi 🌍 Multi
PRICING
Per 1M tokens — — $0.150
BENCHMARKS
MTEB 1536D — — 68.17
MTEB 2048D — — 68.16
MTEB 768D — — 67.99
MTEB AVG 68.20 — —
MTEB MULTILINGUAL AVG — — 68.32
MTEB RETRIEVAL 60.20 — —