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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
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 v3Jina 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 v4Jina AI
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SPECIFICATIONS
Max dimension 4K 1K 2K
Max tokens 32K 8K 33K
Parameters 7B 559M 3.8B
License Apache 2.0 CC BY-NC 4.0 Apache 2.0
EMBEDDING TYPES
Types
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+ 🌍 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