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Compare Embedding Models

Side-by-side comparison of embedding model specifications

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
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
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
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
SPECIFICATIONS
Max dimension 1K — 1K —
Max tokens 512 — 512 —
Parameters 335M 350M — 350M
License Apache 2.0 Apache 2.0 Proprietary Apache 2.0
EMBEDDING TYPES
Types
Dense
LateColBERT
Dense
LateColBERT
MATRYOSHKA DIMENSIONS
Available sizes
641282565121024
— — —
INPUT MODALITIES
Text ✓ ✓ ✓ ✓
Image — — ✓ —
PDF — — — —
OUTPUT TYPES
Single vector ✓ — ✓ —
Multi vector — ✓ — ✓
LANGUAGE SUPPORT
Languages — 🌍 Multi 🌍 100+ 🌍 Multi
PRICING
Per 1M tokens — — — —
BENCHMARKS
MTEB AVG 64.68 — — —
MTEB RETRIEVAL 54.39 — — —
MTEB STS 85.00 — — —