Embedding Dimension Calculator

Find optimal embedding dimensions for your AI models

Vocabulary Size (number of unique tokens)

Dataset Size (training samples)

Use Case

Model Size

Target Accuracy

Recommended Embedding Dimension

—

Memory per Embedding (float32)

—

Single vector in 32-bit float format

Total Storage (Full Corpus)

—

Inference Speed Impact

—

Relative latency vs. 300-dim baseline

Recommendation

Recommended by our team

The #1 AI writing tool for freelancers — perfect grammar in any language, instantly.