---
title: "Qwen3-Embedding-4B — text embeddings score and price · Undominated.ai"
canonical: https://undominated.ai/embeddings/qwen__qwen3-embedding-4b/
description: "Qwen3-Embedding-4B by Alibaba Qwen: MTEB(eng, v2) 74.61; $0.020 per 1M input tokens at DeepInfra; 2 sellers; as of 2026-09-19. Every figure traces to its source."
---

# Qwen3-Embedding-4B — text embeddings score and price · Undominated.ai

> Qwen3-Embedding-4B by Alibaba Qwen: MTEB(eng, v2) 74.61; $0.020 per 1M input tokens at DeepInfra; 2 sellers; as of 2026-09-19. Every figure traces to its source.

[Text embeddings](/embeddings/)

# Qwen3-Embedding-4B

Alibaba Qwen · open weights

$0.020 per 1M input tokens, cheapest of 2 sellers (DeepInfra)

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) | 74.61 | 68.1 | 41 of 41 | 636cd9bf47d976946cdbb2b0c3ca0cb2f8eea5ff |

By task type: Classification 89.84 · Clustering 57.51 · PairClassification 87.01 · Reranking 50.76 · Retrieval 68.46 · STS 88.72 · Summarization 34.39

## 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 | 2e-8 per_token | — | $0.020 per token × 1,000,000 | api.deepinfra.com read 2026-09-19 · feed |
| OpenRouter | 2e-8 per_token | context 32768 | $0.020 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.