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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
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
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 — 4K 4K
Max tokens 512 — 32K 4K
Parameters — 350M 7B 7B
License Proprietary Apache 2.0 Apache 2.0 Apache 2.0
EMBEDDING TYPES
Types
Dense
LateColBERT
Dense
Dense
MATRYOSHKA DIMENSIONS
Available sizes — — — —
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 64.47 — — 68.20
MTEB FR — — 68.25 —
MTEB PL — — 67.86 —
MTEB RETRIEVAL 55.00 — — 60.20