Compare Embedding Models

Side-by-side comparison of embedding model specifications

	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 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 GTE-Qwen2-7B-instructAlibaba	Jina Embeddings 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 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 v3Jina AI	Cohere Embed Multilingual 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 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 Cohere Embed Multilingual v3Cohere	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
SPECIFICATIONS
Max dimension	4K	1K	1K	2K
Max tokens	32K	8K	512	33K
Parameters	7B	559M	—	3.8B
License	Apache 2.0	CC BY-NC 4.0	Proprietary	Apache 2.0
EMBEDDING TYPES
Types	Dense	Dense	Dense	DenseLate
MATRYOSHKA DIMENSIONS
Available sizes	—	32641282565121024	—	12825651210242048
INPUT MODALITIES
Text	✓	✓	✓	✓
Image	—	—	✓	✓
PDF	—	—	—	✓
OUTPUT TYPES
Single vector	✓	✓	✓	✓
Multi vector	—	—	—	✓
LANGUAGE SUPPORT
Languages	🌍 Multi	🌍 89+	🌍 100+	🌍 29+
PRICING
Per 1M tokens	—	$0.020	—	$0.050
BENCHMARKS
CMTEB 35	72.05	—	—	—
COIR	—	—	—	71.59
JINA VDR	—	—	—	84.11
LONGEMBED	—	55.66	—	67.11
MMTEB	—	58.58	—	66.49
MTEB 56	70.24	—	—	—
MTEB EN	—	54.33	—	55.97
MTEB FR	68.25	—	—	—
MTEB PL	67.86	—	—	—
VIDORE	—	—	—	90.17