Sentence Transformers

all-MiniLM-L12-v2

Ultra-compact embeddings for extreme efficiency.

Extremely small model sizeVery fast inferenceMinimal memory and CPU requirementsGood for basic similarity tasks
Today's score
83.0
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Where it ranks today

Best for / Not great for

Best for
  • On-device applications
  • Real-time chatbots
  • Low-power devices
  • Basic duplicate detection
Not great for
  • Deep semantic understanding
  • Complex RAG scenarios
  • High-precision retrieval tasks
  • Long or complex text analysis

Why it ranks here

This model prioritizes size and speed above all else. It's a valuable tool for applications where computational resources are severely limited, providing usable embeddings for simpler tasks.

30-day trend

Score breakdown

Search trends83
Benchmarks83
Developer buzz85
News mentions81

Pricing

API: $0.00 in · $0.00 out per 1M tokens · Consumer: $0.00/mo

Pricing plans

Popular
Open Source
Freely available for all uses.
Free
  • Tiny model size
  • Extremely fast
  • Very low resource usage
  • Open license
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Managed Inference
Cost-effective API for minimal overhead.
$0 /usage
  • Scalable inference
  • Pay per token
  • Rapid deployment
  • Minimal infrastructure needs
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Compare with another modelHow is this score calculated? →Snapshot 2026-07-09