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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 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
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 2K 4K 2K
Max tokens 4K 33K 33K 33K
Parameters 7B 3.8B 8B 3.8B
License Apache 2.0 Apache 2.0 Apache 2.0 Apache 2.0
EMBEDDING TYPES
Types
Dense
DenseLate
Dense
DenseLate
MATRYOSHKA DIMENSIONS
Available sizes —
12825651210242048
3264128256512102420484096
12825651210242048
INPUT MODALITIES
Text ✓ ✓ ✓ ✓
Image — ✓ — ✓
PDF — ✓ — ✓
OUTPUT TYPES
Single vector ✓ ✓ ✓ ✓
Multi vector — ✓ — ✓
LANGUAGE SUPPORT
Languages 🌍 Multi 🌍 29+ 🌍 100+ 🌍 29+
PRICING
Per 1M tokens — $0.050 — $0.050
BENCHMARKS
CMTEB CHINESE — — 73.84 —
COIR — 71.59 — 71.59
JINA VDR — 84.11 — 84.11
LONGEMBED — 67.11 — 67.11
MMTEB — 66.49 — 66.49
MTEB AVG 68.20 — — —
MTEB EN — 55.97 — 55.97
MTEB EN V2 — — 75.22 —
MTEB MULTILINGUAL — — 70.58 —
MTEB RETRIEVAL 60.20 — — —
VIDORE — 90.17 — 90.17