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Side-by-side comparison of embedding model specifications

Cohere Embed English v3▾
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
Cohere Embed English v3Cohere
Jina Embeddings v3▾
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 v3Jina AI
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SPECIFICATIONS
Max dimension 1K 1K
Max tokens 512 8K
Parameters — 559M
License Proprietary CC BY-NC 4.0
EMBEDDING TYPES
Types
Dense
Dense
MATRYOSHKA DIMENSIONS
Available sizes —
32641282565121024
INPUT MODALITIES
Text ✓ ✓
Image ✓ —
PDF — —
OUTPUT TYPES
Single vector ✓ ✓
Multi vector — —
LANGUAGE SUPPORT
Languages — 🌍 89+
PRICING
Per 1M tokens — $0.020
BENCHMARKS
LONGEMBED — 55.66
MMTEB — 58.58
MTEB AVG 64.47 —
MTEB EN — 54.33
MTEB RETRIEVAL 55.00 —