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Side-by-side comparison of embedding model specifications

Cohere Embed English 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
Cohere Embed English v3Cohere
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
Linq-Embed-MistralLinq 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
mxbai-embed-large-v1Mixedbread
+Add
SPECIFICATIONS
Max dimension 1K 4K 1K
Max tokens 512 4K 512
Parameters — 7B 335M
License Proprietary Apache 2.0 Apache 2.0
EMBEDDING TYPES
Types
Dense
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
MTEB AVG 64.47 68.20 64.68
MTEB RETRIEVAL 55.00 60.20 54.39
MTEB STS — — 85.00