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Side-by-side comparison of embedding model specifications

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
mxbai-embed-large-v1Mixedbread
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
Gemini Embedding 001Google
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
Gemini Embedding 001Google
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SPECIFICATIONS
Max dimension 1K 3K 3K
Max tokens 512 2K 2K
Parameters 335M — —
License Apache 2.0 Proprietary Proprietary
EMBEDDING TYPES
Types
Dense
Dense
Dense
MATRYOSHKA DIMENSIONS
Available sizes
641282565121024
1282565127681024153620483072
1282565127681024153620483072
INPUT MODALITIES
Text ✓ ✓ ✓
Image — — —
PDF — — —
OUTPUT TYPES
Single vector ✓ ✓ ✓
Multi vector — — —
LANGUAGE SUPPORT
Languages — 🌍 Multi 🌍 Multi
PRICING
Per 1M tokens — $0.150 $0.150
BENCHMARKS
MTEB 1536D — 68.17 68.17
MTEB 2048D — 68.16 68.16
MTEB 768D — 67.99 67.99
MTEB AVG 64.68 — —
MTEB MULTILINGUAL AVG — 68.32 68.32
MTEB RETRIEVAL 54.39 — —
MTEB STS 85.00 — —