---
title: "gemini-embedding-001 — text embeddings score and price · Undominated.ai"
canonical: https://undominated.ai/embeddings/google__gemini-embedding-001/
description: "gemini-embedding-001 by Google: MTEB(eng, v2) 73.30; $0.150 per 1M input tokens at OpenRouter; 1 seller; as of 2026-09-19. Every figure traces to its source."
---

# gemini-embedding-001 — text embeddings score and price · Undominated.ai

> gemini-embedding-001 by Google: MTEB(eng, v2) 73.30; $0.150 per 1M input tokens at OpenRouter; 1 seller; as of 2026-09-19. Every figure traces to its source.

[Text embeddings](/embeddings/)

# gemini-embedding-001

Google

$0.150 per 1M input tokens, cheapest of 1 seller (OpenRouter)

Dominated: [Qwen3-Embedding-8B](/embeddings/qwen__qwen3-embedding-8b/) scores higher and costs less. As of 2026-09-19 .

## What was measured

| Board | Mean (Task) | Mean (TaskType) | Tasks | Revision |
| --- | --- | --- | --- | --- |
| MTEB(eng, v2) | 73.3 | 67.66 | 41 of 41 | 1 |

By task type: Classification 90.05 · Clustering 59.39 · PairClassification 87.7 · Reranking 48.59 · Retrieval 64.35 · STS 85.29 · Summarization 38.28

## What sellers charge

| Seller | As the seller states it | Conditions | Normalised per 1M input tokens | Source |
| --- | --- | --- | --- | --- |
| OpenRouter | 1.5e-7 per_token | context 20000 | $0.150 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.