---
title: "gte-Qwen2-7B-instruct — text embeddings score and price · Undominated.ai"
canonical: https://undominated.ai/embeddings/alibaba-nlp__gte-qwen2-7b-instruct/
description: "gte-Qwen2-7B-instruct by Alibaba NLP: MTEB(eng, v2) partial, 33 of 41; no traceable price; no sellers on record; as of 2026-09-19. Every figure traces to its source."
---

# gte-Qwen2-7B-instruct — text embeddings score and price · Undominated.ai

> gte-Qwen2-7B-instruct by Alibaba NLP: MTEB(eng, v2) partial, 33 of 41; no traceable price; no sellers on record; as of 2026-09-19. Every figure traces to its source.

[Text embeddings](/embeddings/)

# gte-Qwen2-7B-instruct

Alibaba NLP · open weights

— no traceable price

Verdict: no data. As of 2026-09-19 .

## What was measured

| Board | Mean (Task) | Mean (TaskType) | Tasks | Revision |
| --- | --- | --- | --- | --- |
| MTEB(eng, v2) | — | — | 33 of 41 | e26182b2122f4435e8b3ebecbf363990f409b45b |

This model has 33 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 58.97 · PairClassification — · Reranking — · Retrieval — · STS — · Summarization 35.74

## What sellers charge

No price for this model traces to a page we have read. That is not a price of zero.

## Provenance

 - Quality: https://github.com/embeddings-benchmark/results, licensed cc0-1.0.
 - Prices: none on record. No figure on this page claims a price for this model.
 - 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.