Compare Embedding Models

Side-by-side comparison of embedding model specifications

	Qwen3-Embedding-8B▾ 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 Qwen3-Embedding-8BQwen	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 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 LFM2-ColBERT-350MLiquid AI	Jina Embeddings v5 Omni Nano Text-Matching▾ 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 Nano Text-MatchingJina 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
SPECIFICATIONS
Max dimension	4K	—	768	2K
Max tokens	33K	—	8K	33K
Parameters	8B	350M	0.95B	3.8B
License	Apache 2.0	Apache 2.0	CC BY-NC 4.0	Apache 2.0
EMBEDDING TYPES
Types	Dense	LateColBERT	Dense	DenseLate
MATRYOSHKA DIMENSIONS
Available sizes	3264128256512102420484096	—	3264128256512768	12825651210242048
INPUT MODALITIES
Text	✓	✓	✓	✓
Image	—	—	✓	✓
PDF	—	—	✓	✓
OUTPUT TYPES
Single vector	✓	—	—	✓
Multi vector	—	✓	—	✓
LANGUAGE SUPPORT
Languages	🌍 100+	🌍 Multi	—	🌍 29+
PRICING
Per 1M tokens	—	—	—	$0.050
BENCHMARKS
CMTEB CHINESE	73.84	—	—	—
COIR	—	—	—	71.59
JINA VDR	—	—	—	84.11
LONGEMBED	—	—	—	67.11
MMTEB	—	—	—	66.49
MTEB EN	—	—	—	55.97
MTEB EN V2	75.22	—	—	—
MTEB MULTILINGUAL	70.58	—	—	—
VIDORE	—	—	—	90.17