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Compare Embedding Models

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
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
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
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
SPECIFICATIONS
Max dimension 1K 4K 4K 2K
Max tokens 512 32K 4K 33K
Parameters — 7B 7B 3.8B
License Proprietary Apache 2.0 Apache 2.0 Apache 2.0
EMBEDDING TYPES
Types
Dense
Dense
Dense
DenseLate
MATRYOSHKA DIMENSIONS
Available sizes — — —
12825651210242048
INPUT MODALITIES
Text ✓ ✓ ✓ ✓
Image ✓ — — ✓
PDF — — — ✓
OUTPUT TYPES
Single vector ✓ ✓ ✓ ✓
Multi vector — — — ✓
LANGUAGE SUPPORT
Languages — 🌍 Multi 🌍 Multi 🌍 29+
PRICING
Per 1M tokens — — — $0.050
BENCHMARKS
CMTEB 35 — 72.05 — —
COIR — — — 71.59
JINA VDR — — — 84.11
LONGEMBED — — — 67.11
MMTEB — — — 66.49
MTEB 56 — 70.24 — —
MTEB AVG 64.47 — 68.20 —
MTEB EN — — — 55.97
MTEB FR — 68.25 — —
MTEB PL — 67.86 — —
MTEB RETRIEVAL 55.00 — 60.20 —
VIDORE — — — 90.17