- Context
- 8K
- Released
- 3y ago
- Input / 1M tokens
- $0.10
- Output / 1M tokens
- $0.00
Sources:OpenRouter
Benchmarks
DeepSWE is the primary coding benchmark where an exact model evaluation exists. Other sourced evaluations appear below; missing scores are not zero.
Not evaluated in DeepSWE 1.1 as of 2026-09-22. Results are only shown for exact model versions in the official dataset. Official leaderboard.
No benchmark results have been matched to this model yet.
Specifications
- Developer
- OpenAI
- Model family
- —
- Type
- Embedding
- Predecessor
- —
- Successor
- —
- Released
- December 15, 2022
- Model ID
openai/text-embedding-ada-002- Openness
- Closed
- License
- —
- Input modalities
- text
- Output modalities
- embeddings
- Modality
- text->embeddings
- Tokenizer
- Other
- Max output tokens
- 7K
- Hugging Face
- —
- Source freshness
- Endpoints synced Oct 15, 2026, 8:17 AM UTC
Infrastructure
Provider availability
| Provider | Endpoint | Context | Input /M tokens | Output /M tokens | Cached input /M tokens | Cache write /M tokens | Uptime 1d | Data handling |
|---|---|---|---|---|---|---|---|---|
| openai | 8K | $0.10 | $0.00 | — | — | 100.00% | ZDR: NoTraining: Unknown Prompt logging: Unknown Retention: Unknown Checked 2026-10-15 | |
| openaiBatch pricing | 8K | $0.10 | $0.00 | — | — | 100.00% | ZDR: NoTraining: Unknown Prompt logging: Unknown Retention: Unknown Checked 2026-10-15 |
Provider data:OpenRouter
Text provenance
EU · product-scopedOpenAI textGrain watermarking
In the EU, ChatGPT-generated text uses textGrain. OpenAI says API customers can opt in globally for select models, so watermarking depends on the product surface and configuration.
Official explanation