text-embedding-ada-002
OpenAI
$0.100 per 1M input tokens, cheapest of 1 seller (OpenRouter)
What was measured
| Board | Mean (Task) | Mean (TaskType) | Tasks | Revision |
|---|---|---|---|---|
| MTEB(eng, v2) | — | — | 0 of 41 | no_revision_available |
This model has 0 of the benchmark's 41 tasks in the results repository, so it has no mean and is not ranked. That is a statement about the public results, not about the model.
By task type: Classification — · Clustering — · PairClassification — · Reranking — · Retrieval — · STS — · Summarization —
What sellers charge
| Seller | As the seller states it | Conditions | Normalised per 1M input tokens | Source |
|---|---|---|---|---|
| OpenRouter | 1e-7 per_token | context 8192 | $0.100 per token × 1,000,000 | openrouter.ai read 2026-09-19 · feed |
Provenance
- Quality: https://github.com/embeddings-benchmark/results, licensed cc0-1.0.
- Prices: https://openrouter.ai/api/v1/embeddings/models
- Built 2026-09-19 from the catalogue snapshot in this repository.
MTEB results, https://github.com/embeddings-benchmark/results, released under CC0-1.0; MTEB(eng, v2) means computed from the per-task files as described in data/modalities/embeddings/benchmark.json.