OpenAI: text-embedding-ada-002
text-embedding-ada-002 is an embedding model from OpenAI released on Dec 15, 2022. It reads text and writes vectors, with a 8K token context window.
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It costs $0.10 per million input tokens, with no charge for output.
4 providers serve it, including Azure, Vercel AI Gateway and Azure Cognitive Services.
- Modalities
- In / out price
- $0.10 / $0 per 1M
- Context
- 8K
- Max output
- 2K
- Released
- Dec 15, 2022
- Knowledge cutoff
- Dec 2022
- Tool calling
- Structured output
- Reasoning
- Prompt caching
- Open weights
- Free to use
text-embedding-ada-002 pricing
USD, as listed on Oct 15, 2026. Most bills are input heavy, so the cached input rate matters as much as the headline price.
| Input | $0.10 / 1M tokens | |
|---|---|---|
| Output | $0 / 1M tokens |
text-embedding-ada-002 providers
4 providers serve it, including Azure, Vercel AI Gateway and Azure Cognitive Services. Each host sets its own price and limits, so the cheapest one is not always the one with the longest context.
| Provider | Input /M | Output /M | Cache read /M | Context | Max output |
|---|---|---|---|---|---|
| OpenAI First party | $0.10 | $0 | – | 8K | 2K |
| Azure | $0.10 | $0 | – | 8K | 2K |
| Vercel AI Gateway | n/a | n/a | – | 8K | 2K |
| Azure Cognitive Services | $0.10 | $0 | – | 8K | 2K |
What text-embedding-ada-002 costs per month
Pick a workload close to yours or type your own volumes.
Alternatives to text-embedding-ada-002
Models that take the same inputs, closest in price, cheaper ones first.
Mistral Embed
Embeddings8K contextTurns text into vectors for search and retrieval. Served by 3 providers.
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Qwen3-VL Embedding 8B
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OpenAI: text-embedding-3-large
Embeddings8K contextTurns text into vectors for search and retrieval. Served by 5 providers.
by openaiJan 25, 2024$0.13/M input tokens5 providers
Google: Gemini Embedding 001
Embeddings2K contextTurns text into vectors for search and retrieval. Served by 6 providers.
by googleMay 20, 2025$0.15/M input tokens6 providers
Google: Gemini Embedding 2
Embeddings8K contextTurns text, images, files, audio and video into vectors for search and retrieval. Served by 5 providers.
by googleApr 22, 2026$0.20/M input tokens5 providers
OpenAI: text-embedding-3-small
Embeddings8K contextTurns text into vectors for search and retrieval. Served by 5 providers.
by openaiJan 25, 2024$0.02/M input tokens5 providers
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text-embedding-ada-002 questions
How much does the text-embedding-ada-002 API cost?
$0.10 per million input tokens and $0 per million output tokens. The estimator on this page turns that into a monthly bill for your own workload.
What is the context window of text-embedding-ada-002?
8,192 tokens of input, and it can write up to 1,536 tokens in one reply. As a rough guide, a million tokens is around 750,000 English words.
Which providers serve text-embedding-ada-002?
4 providers serve it, including Azure, Vercel AI Gateway and Azure Cognitive Services. Prices differ by host, so the Providers table on this page lists each one with its input and output price.
Is text-embedding-ada-002 open source?
No. OpenAI serves it through an API only, so you cannot download the weights or host it yourself.
When was text-embedding-ada-002 released?
Dec 15, 2022, with training data up to Dec 2022.
Catalog data from models.dev (MIT licensed), refreshed daily, last on Oct 15, 2026. The summary is written from these facts.
Building on text-embedding-ada-002?
I test your real tasks on it and the two closest alternatives, then ship the agent on whichever wins on cost and accuracy.
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