Model Details
Owner
OpenAI
Released
Dec 2022
Status
Active
Context Length
8K
Max Output
NA
Provider
OpenAI
Where is text-embedding-ada-002 a perfect fit?
text-embedding-ada-002 is best suited for existing systems built on earlier embedding standards, where migration hasn’t yet occurred. Ideal for:
- Legacy semantic search and retrieval systems
- Older RAG pipelines relying on precomputed embeddings
- Applications requiring compatibility with stored vector databases
- Cost-sensitive deployments using stable, well-known models
- Internal tools built before newer embedding models were introduced
- Systems prioritising consistency over maximum embedding accuracy
- Legacy semantic search and retrieval systems
- Older RAG pipelines relying on precomputed embeddings
- Applications requiring compatibility with stored vector databases
- Cost-sensitive deployments using stable, well-known models
- Internal tools built before newer embedding models were introduced
- Systems prioritising consistency over maximum embedding accuracy
Quick Model Estimate
Your GPT-5 Cost Estimate
💰 Total Cost
USD 3.00
for 1000 input + 1000 output tokens
📥 Input (1000 × $N/A)
USD 1.5000
📤 Output (1000 × $N/A)
USD 1.5000
Cost Breakdown
📥 Input 50%
📤 Output 50%
Prices updated daily from official provider data.
