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Compare Embedding Models

Side-by-side comparison of embedding model specifications

Jina Embeddings v5 Omni Nano▾
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
Jina Embeddings v5 Omni NanoJina 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 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
Gemini Embedding 001Google
mxbai-embed-large-v1▾
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
mxbai-embed-large-v1Mixedbread
Jina Embeddings v5 Text Nano▾
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
Jina Embeddings v5 Text NanoJina AI
SPECIFICATIONS
Max dimension 768 3K 1K 768
Max tokens 8K 2K 512 8K
Parameters 1.04B — 335M 239M
License CC BY-NC 4.0 Proprietary Apache 2.0 CC BY-NC 4.0
EMBEDDING TYPES
Types
Dense
Dense
Dense
Dense
MATRYOSHKA DIMENSIONS
Available sizes
3264128256512768
1282565127681024153620483072
641282565121024
3264128256512768
INPUT MODALITIES
Text ✓ ✓ ✓ ✓
Image ✓ — — —
PDF ✓ — — —
OUTPUT TYPES
Single vector — ✓ ✓ —
Multi vector — — — —
LANGUAGE SUPPORT
Languages — 🌍 Multi — —
PRICING
Per 1M tokens — $0.150 — —
BENCHMARKS
MMTEB — — — 65.50
MTEB 1536D — 68.17 — —
MTEB 2048D — 68.16 — —
MTEB 768D — 67.99 — —
MTEB AVG — — 64.68 —
MTEB ENGLISH V2 — — — 71.00
MTEB MULTILINGUAL AVG — 68.32 — —
MTEB RETRIEVAL — — 54.39 —
MTEB STS — — 85.00 —