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Compare Embedding Models

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
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
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
Qwen3-Embedding-8BQwen
+Add
SPECIFICATIONS
Max dimension 4K 1K 4K
Max tokens 32K 512 33K
Parameters 7B 335M 8B
License Apache 2.0 Apache 2.0 Apache 2.0
EMBEDDING TYPES
Types
Dense
Dense
Dense
MATRYOSHKA DIMENSIONS
Available sizes —
641282565121024
3264128256512102420484096
INPUT MODALITIES
Text ✓ ✓ ✓
Image — — —
PDF — — —
OUTPUT TYPES
Single vector ✓ ✓ ✓
Multi vector — — —
LANGUAGE SUPPORT
Languages 🌍 Multi — 🌍 100+
PRICING
Per 1M tokens — — —
BENCHMARKS
CMTEB 35 72.05 — —
CMTEB CHINESE — — 73.84
MTEB 56 70.24 — —
MTEB AVG — 64.68 —
MTEB EN V2 — — 75.22
MTEB FR 68.25 — —
MTEB MULTILINGUAL — — 70.58
MTEB PL 67.86 — —
MTEB RETRIEVAL — 54.39 —
MTEB STS — 85.00 —