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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
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
+Add
SPECIFICATIONS
Max dimension 1K 1K —
Max tokens 512 512 —
Parameters 335M — 350M
License Apache 2.0 Proprietary Apache 2.0
EMBEDDING TYPES
Types
Dense
Dense
LateColBERT
MATRYOSHKA DIMENSIONS
Available sizes
641282565121024
— —
INPUT MODALITIES
Text ✓ ✓ ✓
Image — ✓ —
PDF — — —
OUTPUT TYPES
Single vector ✓ ✓ —
Multi vector — — ✓
LANGUAGE SUPPORT
Languages — — 🌍 Multi
PRICING
Per 1M tokens — — —
BENCHMARKS
MTEB AVG 64.68 64.47 —
MTEB RETRIEVAL 54.39 55.00 —
MTEB STS 85.00 — —