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Compare Embedding Models

Side-by-side comparison of embedding model specifications

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
LFM2-ColBERT-350M▾
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
LFM2-ColBERT-350MLiquid AI
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
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
SPECIFICATIONS
Max dimension 1K — 1K 4K
Max tokens 512 — 512 4K
Parameters — 350M 335M 7B
License Proprietary Apache 2.0 Apache 2.0 Apache 2.0
EMBEDDING TYPES
Types
Dense
LateColBERT
Dense
Dense
MATRYOSHKA DIMENSIONS
Available sizes — —
641282565121024
—
INPUT MODALITIES
Text ✓ ✓ ✓ ✓
Image ✓ — — —
PDF — — — —
OUTPUT TYPES
Single vector ✓ — ✓ ✓
Multi vector — ✓ — —
LANGUAGE SUPPORT
Languages — 🌍 Multi — 🌍 Multi
PRICING
Per 1M tokens — — — —
BENCHMARKS
MTEB AVG 64.47 — 64.68 68.20
MTEB RETRIEVAL 55.00 — 54.39 60.20
MTEB STS — — 85.00 —