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Compare Embedding Models

Side-by-side comparison of embedding model specifications

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
Qwen3-Embedding-8BQwen
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
Linq-Embed-MistralLinq AI
Cohere Embed Multilingual 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 Multilingual v3Cohere
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SPECIFICATIONS
Max dimension 4K 4K 1K
Max tokens 33K 4K 512
Parameters 8B 7B —
License Apache 2.0 Apache 2.0 Proprietary
EMBEDDING TYPES
Types
Dense
Dense
Dense
MATRYOSHKA DIMENSIONS
Available sizes
3264128256512102420484096
— —
INPUT MODALITIES
Text ✓ ✓ ✓
Image — — ✓
PDF — — —
OUTPUT TYPES
Single vector ✓ ✓ ✓
Multi vector — — —
LANGUAGE SUPPORT
Languages 🌍 100+ 🌍 Multi 🌍 100+
PRICING
Per 1M tokens — — —
BENCHMARKS
CMTEB CHINESE 73.84 — —
MTEB AVG — 68.20 —
MTEB EN V2 75.22 — —
MTEB MULTILINGUAL 70.58 — —
MTEB RETRIEVAL — 60.20 —