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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
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 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
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 — 4K 2K 4K
Max tokens — 4K 128K 4K
Parameters 350M 7B — 7B
License Apache 2.0 Apache 2.0 Proprietary Apache 2.0
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+ 🌍 Multi
PRICING
Per 1M tokens — — — —
BENCHMARKS
MTEB AVG — 68.20 — 68.20
MTEB RETRIEVAL — 60.20 — 60.20