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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
Qwen3-Embedding-8B▾
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
Qwen3-Embedding-8BQwen
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 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
SPECIFICATIONS
Max dimension 3K 4K 1K 2K
Max tokens 2K 33K 512 33K
Parameters — 8B 335M 3.8B
License Proprietary Apache 2.0 Apache 2.0 Apache 2.0
EMBEDDING TYPES
Types
Dense
Dense
Dense
DenseLate
MATRYOSHKA DIMENSIONS
Available sizes
1282565127681024153620483072
3264128256512102420484096
641282565121024
12825651210242048
INPUT MODALITIES
Text ✓ ✓ ✓ ✓
Image — — — ✓
PDF — — — ✓
OUTPUT TYPES
Single vector ✓ ✓ ✓ ✓
Multi vector — — — ✓
LANGUAGE SUPPORT
Languages 🌍 Multi 🌍 100+ — 🌍 29+
PRICING
Per 1M tokens $0.150 — — $0.050
BENCHMARKS
CMTEB CHINESE — 73.84 — —
COIR — — — 71.59
JINA VDR — — — 84.11
LONGEMBED — — — 67.11
MMTEB — — — 66.49
MTEB 1536D 68.17 — — —
MTEB 2048D 68.16 — — —
MTEB 768D 67.99 — — —
MTEB AVG — — 64.68 —
MTEB EN — — — 55.97
MTEB EN V2 — 75.22 — —
MTEB MULTILINGUAL — 70.58 — —
MTEB MULTILINGUAL AVG 68.32 — — —
MTEB RETRIEVAL — — 54.39 —
MTEB STS — — 85.00 —
VIDORE — — — 90.17