Compare Embedding Models

Side-by-side comparison of embedding model specifications

	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	Voyage 3 Large▾ 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 Voyage 3 LargeVoyage AI	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	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	1K	2K	4K	2K
Max tokens	512	32K	33K	33K
Parameters	—	—	8B	3.8B
License	Proprietary	Proprietary	Apache 2.0	Apache 2.0
EMBEDDING TYPES
Types	Dense	Dense	Dense	DenseLate
MATRYOSHKA DIMENSIONS
Available sizes	—	25651210242048	3264128256512102420484096	12825651210242048
INPUT MODALITIES
Text	✓	✓	✓	✓
Image	✓	—	—	✓
PDF	—	—	—	✓
OUTPUT TYPES
Single vector	✓	✓	✓	✓
Multi vector	—	—	—	✓
LANGUAGE SUPPORT
Languages	🌍 100+	🌍 Multi	🌍 100+	🌍 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