← Back to Models

Compare Embedding Models

Side-by-side comparison of embedding model specifications

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
Voyage 3 Large▾
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
Voyage 3 LargeVoyage 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
SPECIFICATIONS
Max dimension 4K 2K 2K 1K
Max tokens 4K 33K 32K 512
Parameters 7B 3.8B — 335M
License Apache 2.0 Apache 2.0 Proprietary Apache 2.0
EMBEDDING TYPES
Types
Dense
DenseLate
Dense
Dense
MATRYOSHKA DIMENSIONS
Available sizes —
12825651210242048
25651210242048
641282565121024
INPUT MODALITIES
Text ✓ ✓ ✓ ✓
Image — ✓ — —
PDF — ✓ — —
OUTPUT TYPES
Single vector ✓ ✓ ✓ ✓
Multi vector — ✓ — —
LANGUAGE SUPPORT
Languages 🌍 Multi 🌍 29+ 🌍 Multi —
PRICING
Per 1M tokens — $0.050 — —
BENCHMARKS
COIR — 71.59 — —
JINA VDR — 84.11 — —
LONGEMBED — 67.11 — —
MMTEB — 66.49 — —
MTEB AVG 68.20 — — 64.68
MTEB EN — 55.97 — —
MTEB RETRIEVAL 60.20 — — 54.39
MTEB STS — — — 85.00
VIDORE — 90.17 — —