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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 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
Linq-Embed-MistralLinq AI
Jina Embeddings v5 Text Small▾
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 SmallJina AI
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
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 4K 1K 4K 2K
Max tokens 4K 33K 33K 33K
Parameters 7B 677M 8B 3.8B
License Apache 2.0 CC BY-NC 4.0 Apache 2.0 Apache 2.0
EMBEDDING TYPES
Types
Dense
Dense
Dense
DenseLate
MATRYOSHKA DIMENSIONS
Available sizes —
32641282565127681024
3264128256512102420484096
12825651210242048
INPUT MODALITIES
Text ✓ ✓ ✓ ✓
Image — — — ✓
PDF — — — ✓
OUTPUT TYPES
Single vector ✓ — ✓ ✓
Multi vector — — — ✓
LANGUAGE SUPPORT
Languages 🌍 Multi — 🌍 100+ 🌍 29+
PRICING
Per 1M tokens — — — $0.050
BENCHMARKS
CMTEB CHINESE — — 73.84 —
COIR — — — 71.59
JINA VDR — — — 84.11
LONGEMBED — — — 67.11
MMTEB — 67.70 — 66.49
MTEB AVG 68.20 — — —
MTEB EN — — — 55.97
MTEB EN V2 — — 75.22 —
MTEB ENGLISH V2 — 71.70 — —
MTEB MULTILINGUAL — — 70.58 —
MTEB RETRIEVAL 60.20 — — —
VIDORE — — — 90.17