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Compare Embedding Models

Side-by-side comparison of embedding model specifications

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
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 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 v4Jina 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
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
SPECIFICATIONS
Max dimension 3K 2K 4K 768
Max tokens 2K 33K 32K 8K
Parameters — 3.8B 7B 1.04B
License Proprietary Apache 2.0 Apache 2.0 CC BY-NC 4.0
EMBEDDING TYPES
Types
Dense
DenseLate
Dense
Dense
MATRYOSHKA DIMENSIONS
Available sizes
1282565127681024153620483072
12825651210242048
—
3264128256512768
INPUT MODALITIES
Text ✓ ✓ ✓ ✓
Image — ✓ — ✓
PDF — ✓ — ✓
OUTPUT TYPES
Single vector ✓ ✓ ✓ —
Multi vector — ✓ — —
LANGUAGE SUPPORT
Languages 🌍 Multi 🌍 29+ 🌍 Multi —
PRICING
Per 1M tokens $0.150 $0.050 — —
BENCHMARKS
CMTEB 35 — — 72.05 —
COIR — 71.59 — —
JINA VDR — 84.11 — —
LONGEMBED — 67.11 — —
MMTEB — 66.49 — —
MTEB 1536D 68.17 — — —
MTEB 2048D 68.16 — — —
MTEB 56 — — 70.24 —
MTEB 768D 67.99 — — —
MTEB EN — 55.97 — —
MTEB FR — — 68.25 —
MTEB MULTILINGUAL AVG 68.32 — — —
MTEB PL — — 67.86 —
VIDORE — 90.17 — —