gte-large
Alibaba DAMO (thenlper) · open weights
$0.010 per 1M input tokens, cheapest of 2 sellers (DeepInfra)
What was measured
| Board | Mean (Task) | Mean (TaskType) | Tasks | Revision |
|---|---|---|---|---|
| MTEB(eng, v2) | — | — | 21 of 41 | external |
This model has 21 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 85.08 · Reranking 47.84 · Retrieval — · STS — · Summarization —
What sellers charge
Spread across 2 distinct sellers: 1× between cheapest and dearest at the reference unit.
| Seller | As the seller states it | Conditions | Normalised per 1M input tokens | Source |
|---|---|---|---|---|
| DeepInfra | 1e-8 per_token | — | $0.010 per token × 1,000,000 | api.deepinfra.com read 2026-09-19 · feed |
| OpenRouter | 1e-8 per_token | context 512 | $0.010 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://api.deepinfra.com/models/list, 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.