---
title: "all-MiniLM-L6-v2 — text embeddings score and price · Undominated.ai"
canonical: https://undominated.ai/embeddings/sentence-transformers__all-minilm-l6-v2/
description: "all-MiniLM-L6-v2 by Sentence Transformers: MTEB(eng, v2) 59.03; $0.0050 per 1M input tokens at DeepInfra; 2 sellers; as of 2026-09-19. Every figure traces to its source."
---

# all-MiniLM-L6-v2 — text embeddings score and price · Undominated.ai

> all-MiniLM-L6-v2 by Sentence Transformers: MTEB(eng, v2) 59.03; $0.0050 per 1M input tokens at DeepInfra; 2 sellers; as of 2026-09-19. Every figure traces to its source.

[Text embeddings](/embeddings/)

# all-MiniLM-L6-v2

Sentence Transformers · open weights

$0.0050 per 1M input tokens, cheapest of 2 sellers (DeepInfra)

Dominated: [EmbeddingGemma 300M](/embeddings/google__embeddinggemma-300m/) scores higher and costs less. As of 2026-09-19 .

## 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.