Embedding Model Cost Comparison
Rank embedding models by price and dimensions.
Results update automatically as you type.
Result
Embedding models compared
10,000,000 tokens · ranked cheapest first
| Model | Provider | Price/1M | Dimensions | Cost |
|---|---|---|---|---|
| text-embedding-3-small | openai | $0.02/M | 1,536 | $0.2000 |
| Embed v3 (English) | cohere | $0.1/M | 1,024 | $1.00 |
| text-embedding-3-large | openai | $0.13/M | 3,072 | $1.30 |
Compare every embedding model by price per million tokens, vector dimensions and the total cost to embed your corpus — ranked cheapest first.
How this is calculated
This calculator uses the comparisons formulas described in our methodology. All figures are estimates for planning; verify current pricing with each provider before relying on them.
Worked example (defaults)
With the default inputs above, here is the result:
Result
Embedding models compared
10,000,000 tokens · ranked cheapest first
| Model | Provider | Price/1M | Dimensions | Cost |
|---|---|---|---|---|
| text-embedding-3-small | openai | $0.02/M | 1,536 | $0.2000 |
| Embed v3 (English) | cohere | $0.1/M | 1,024 | $1.00 |
| text-embedding-3-large | openai | $0.13/M | 3,072 | $1.30 |
Frequently asked questions
Do more dimensions cost more?+
Larger dimensions cost the same to generate but need more storage in your vector database.
Which embedding model should I pick?+
Balance retrieval quality (test on your data) against price and storage. Smaller models are often good enough.