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Side-by-side comparison of embedding model specifications

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
Cohere Embed v4▾
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 v4Cohere
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
SPECIFICATIONS
Max dimension — 4K 2K 1K
Max tokens — 32K 128K 512
Parameters 350M 7B — —
License Apache 2.0 Apache 2.0 Proprietary Proprietary
EMBEDDING TYPES
Types
LateColBERT
Dense
Dense
Dense
MATRYOSHKA DIMENSIONS
Available sizes — —
25651210241536
—
INPUT MODALITIES
Text ✓ ✓ ✓ ✓
Image — — ✓ ✓
PDF — — ✓ —
OUTPUT TYPES
Single vector — ✓ ✓ ✓
Multi vector ✓ — — —
LANGUAGE SUPPORT
Languages 🌍 Multi 🌍 Multi 🌍 100+ 🌍 100+
PRICING
Per 1M tokens — — — —
BENCHMARKS
CMTEB 35 — 72.05 — —
MTEB 56 — 70.24 — —
MTEB FR — 68.25 — —
MTEB PL — 67.86 — —