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Compare Embedding Models

Side-by-side comparison of embedding model specifications

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
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
+Add
SPECIFICATIONS
Max dimension 1K 4K 4K
Max tokens 512 33K 4K
Parameters — 8B 7B
License Proprietary Apache 2.0 Apache 2.0
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+ 🌍 100+ 🌍 Multi
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