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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
Voyage 3 Large▾
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
Voyage 3 LargeVoyage AI
GTE-Qwen2-7B-instruct▾
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
GTE-Qwen2-7B-instructAlibaba
SPECIFICATIONS
Max dimension 4K 1K 2K 4K
Max tokens 4K 512 32K 32K
Parameters 7B — — 7B
License Apache 2.0 Proprietary Proprietary Apache 2.0
EMBEDDING TYPES
Types
Dense
Dense
Dense
Dense
MATRYOSHKA DIMENSIONS
Available sizes — —
25651210242048
—
INPUT MODALITIES
Text ✓ ✓ ✓ ✓
Image — ✓ — —
PDF — — — —
OUTPUT TYPES
Single vector ✓ ✓ ✓ ✓
Multi vector — — — —
LANGUAGE SUPPORT
Languages 🌍 Multi — 🌍 Multi 🌍 Multi
PRICING
Per 1M tokens — — — —
BENCHMARKS
CMTEB 35 — — — 72.05
MTEB 56 — — — 70.24
MTEB AVG 68.20 64.47 — —
MTEB FR — — — 68.25
MTEB PL — — — 67.86
MTEB RETRIEVAL 60.20 55.00 — —