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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
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
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
+Add
SPECIFICATIONS
Max dimension — 1K 4K
Max tokens — 512 32K
Parameters 350M 335M 7B
License Apache 2.0 Apache 2.0 Apache 2.0
EMBEDDING TYPES
Types
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
CMTEB 35 — — 72.05
MTEB 56 — — 70.24
MTEB AVG — 64.68 —
MTEB FR — — 68.25
MTEB PL — — 67.86
MTEB RETRIEVAL — 54.39 —
MTEB STS — 85.00 —