Text Embedding Ada 002 API pricing
Azure OpenAI · embedding model · 8K context
What Text Embedding Ada 002 costs in practice
Text Embedding Ada 002 is priced at $0.1 per million input tokens and free per million output tokens and no separately published prompt-cache rate. Against the median priced chat model ($0.5/1M in), this sits at 5.00× cheaper.
Monthly cost examples
Assuming 1,200 prompt + 400 completion tokens per request unless noted, billed 30 days a month and without cache hits.
| Workload | Cost / month | Cost / day |
|---|---|---|
| 1,000 requests/day | $3.6 | $0.12 |
| 10,000 requests/day | $36 | $1.2 |
| 100,000 requests/day | $360 | $12 |
| 1M summaries/month | $799.99 | $26.67 |
Model a different profile in the cost calculator.
Capabilities
Cheaper alternatives
Ranked by blended cost (3× input + 1× output) — cheaper, but check context and capabilities before switching.
| # | Model | Provider | Input $/1M | Output $/1M | Cached $/1M | Context |
|---|---|---|---|---|---|---|
| 1 | Gemini Exp 1114 | Google Gemini | free | free | — | 1.0M |
| 2 | Gemini Exp 1206 | Google Gemini | free | free | — | 2.1M |
| 3 | Gemma 3 27b It | Google Gemini | free | free | — | 131K |
| 4 | Gemma 4 26b A4b It | Google Gemini | free | free | — | 262K |
| 5 | Gemma 4 31b It | Google Gemini | free | free | — | 262K |
| 6 | Learnlm 1.5 Pro Experimental | Google Gemini | free | free | — | 33K |
Data provenance
This page is assembled from the sources below. Where two sources disagree, both are shown.
Only one source publishes this model; no independent cross-check available yet.
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Frequently asked
› How much does Text Embedding Ada 002 cost per 1,000 tokens?
About $0.0001 for input and free for output tokens, based on the per-million rates on this page.
› Is Text Embedding Ada 002 cheaper than other models?
We do not have enough price data to rank this model.
› How often is Text Embedding Ada 002's price checked?
The dataset was last refreshed 2026-09-13 13:40 UTC. Providers can change pricing at any time — verify with Azure OpenAI before committing to a budget.