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Side-by-side comparison of embedding model specifications

Cohere Embed 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
Cohere Embed v4Cohere
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
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
GTE-Qwen2-7B-instructAlibaba
+Add
SPECIFICATIONS
Max dimension 2K 4K 4K
Max tokens 128K 4K 32K
Parameters — 7B 7B
License Proprietary Apache 2.0 Apache 2.0
EMBEDDING TYPES
Types
Dense
Dense
Dense
MATRYOSHKA DIMENSIONS
Available sizes
25651210241536
— —
INPUT MODALITIES
Text ✓ ✓ ✓
Image ✓ — —
PDF ✓ — —
OUTPUT TYPES
Single vector ✓ ✓ ✓
Multi vector — — —
LANGUAGE SUPPORT
Languages 🌍 100+ 🌍 Multi 🌍 Multi
PRICING
Per 1M tokens — — —
BENCHMARKS
CMTEB 35 — — 72.05
MTEB 56 — — 70.24
MTEB AVG — 68.20 —
MTEB FR — — 68.25
MTEB PL — — 67.86
MTEB RETRIEVAL — 60.20 —