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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
Linq-Embed-MistralLinq AI
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
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
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
SPECIFICATIONS
Max dimension 4K 1K 4K 1K
Max tokens 4K 512 33K 512
Parameters 7B — 8B —
License Apache 2.0 Proprietary Apache 2.0 Proprietary
EMBEDDING TYPES
Types
Dense
Dense
Dense
Dense
MATRYOSHKA DIMENSIONS
Available sizes — —
3264128256512102420484096
—
INPUT MODALITIES
Text ✓ ✓ ✓ ✓
Image — ✓ — ✓
PDF — — — —
OUTPUT TYPES
Single vector ✓ ✓ ✓ ✓
Multi vector — — — —
LANGUAGE SUPPORT
Languages 🌍 Multi — 🌍 100+ —
PRICING
Per 1M tokens — — — —
BENCHMARKS
CMTEB CHINESE — — 73.84 —
MTEB AVG 68.20 64.47 — 64.47
MTEB EN V2 — — 75.22 —
MTEB MULTILINGUAL — — 70.58 —
MTEB RETRIEVAL 60.20 55.00 — 55.00