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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
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
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SPECIFICATIONS
Max dimension 1K 4K
Max tokens 512 32K
Parameters 335M 7B
License Apache 2.0 Apache 2.0
EMBEDDING TYPES
Types
Dense
Dense
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
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 —