Compare Embedding Models

Side-by-side comparison of embedding model specifications

	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 Jina Embeddings v5 Omni Small Jina Embeddings v5 Omni Nano Jina Embeddings v5 Omni Nano Text-Matching Jina Embeddings v5 Text Small Jina Embeddings v5 Text Nano Jina Embeddings v5 Text Small Text-Matching Linq-Embed-MistralLinq AI	Jina Embeddings 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 Jina Embeddings v5 Omni Small Jina Embeddings v5 Omni Nano Jina Embeddings v5 Omni Nano Text-Matching Jina Embeddings v5 Text Small Jina Embeddings v5 Text Nano Jina Embeddings v5 Text Small Text-Matching Jina Embeddings v4Jina 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 Jina Embeddings v5 Omni Small Jina Embeddings v5 Omni Nano Jina Embeddings v5 Omni Nano Text-Matching Jina Embeddings v5 Text Small Jina Embeddings v5 Text Nano Jina Embeddings v5 Text Small Text-Matching mxbai-embed-large-v1Mixedbread	Jina Embeddings v5 Omni Nano▾ 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 Jina Embeddings v5 Omni Small ✓ Jina Embeddings v5 Omni Nano Jina Embeddings v5 Omni Nano Text-Matching Jina Embeddings v5 Text Small Jina Embeddings v5 Text Nano Jina Embeddings v5 Text Small Text-Matching Jina Embeddings v5 Omni NanoJina AI
SPECIFICATIONS
Max dimension	4K	2K	1K	768
Max tokens	4K	33K	512	8K
Parameters	7B	3.8B	335M	1.04B
License	Apache 2.0	Apache 2.0	Apache 2.0	CC BY-NC 4.0
EMBEDDING TYPES
Types	Dense	DenseLate	Dense	Dense
MATRYOSHKA DIMENSIONS
Available sizes	—	12825651210242048	641282565121024	3264128256512768
INPUT MODALITIES
Text	✓	✓	✓	✓
Image	—	✓	—	✓
PDF	—	✓	—	✓
OUTPUT TYPES
Single vector	✓	✓	✓	—
Multi vector	—	✓	—	—
LANGUAGE SUPPORT
Languages	🌍 Multi	🌍 29+	—	—
PRICING
Per 1M tokens	—	$0.050	—	—
BENCHMARKS
COIR	—	71.59	—	—
JINA VDR	—	84.11	—	—
LONGEMBED	—	67.11	—	—
MMTEB	—	66.49	—	—
MTEB AVG	68.20	—	64.68	—
MTEB EN	—	55.97	—	—
MTEB RETRIEVAL	60.20	—	54.39	—
MTEB STS	—	—	85.00	—
VIDORE	—	90.17	—	—