OpenAI: Text Embedding Ada 002
Embedding model for semantic search, retrieval, clustering, and ranking pipelines
Cheapest input
$0.05
$/MTok · OpenRouter
Cheapest output
$0
$/MTok
Context
8K
tokens
Sources
3
7 listings
Sources
Same model, different sources. Our first-party rate is listed first, then router and aggregator rows stay separate so you can see the spread instead of a single blended number.
| Source | Provider | Input | Output | Cache read | Context |
|---|---|---|---|---|---|
| OpenRoutercheapestopenai/text-embedding-ada-002:batch | OpenRouter | $0.05 | $0 | $0 | 8K |
| models.devtext-embedding-ada-002 | Azure | $0.1 | $0 | $0 | 8K |
| models.devtext-embedding-ada-002 | Azure | $0.1 | $0 | $0.01 | 8K |
| models.devtext-embedding-ada-002 | OpenAI | $0.1 | $0 | $0.01 | 8K |
| OpenRouteropenai/text-embedding-ada-002 | OpenRouter | $0.1 | $0 | $0 | 8K |
| LiteLLMtext-embedding-ada-002 | N/A | $0.1 | $0 | $0.01 | N/A |
| LiteLLMvercel_ai_gateway/openai/text-embedding-ada-002 | N/A | $0.1 | $0 | $0.01 | N/A |
Capabilities
- In: text
- Out: text
- Out: embeddings
Knowledge cutoff: 2022-12Released: 2022-12-15Family: text-embedding
Run this model in a real workspace
Launch agents from the project they work in, use remote management to reach another machine, and see this model's sessions and token usage in your own history. Free to use, runs on your device.
Data and list-price estimates may contain mistakes. Not investment advice.