all-MiniLM-L6-v2
Sentence Transformers · open weights
$0.0050 per 1M input tokens, cheapest of 2 sellers (DeepInfra)
What was measured
| Board | Mean (Task) | Mean (TaskType) | Tasks | Revision |
|---|---|---|---|---|
| MTEB(eng, v2) | 59.03 | 55.93 | 41 of 41 | 8b3219a92973c328a8e22fadcfa821b5dc75636a |
By task type: Classification 69.25 · Clustering 44.9 · PairClassification 82.37 · Reranking 47.14 · Retrieval 42.92 · STS 78.95 · Summarization 25.96
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 | 5e-9 per_token | — | $0.0050 per token × 1,000,000 | api.deepinfra.com read 2026-09-19 · feed |
| OpenRouter | 5e-9 per_token | context 512 | $0.0050 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.