---
title: "gte-large — text embeddings score and price · Undominated.ai"
canonical: https://undominated.ai/embeddings/thenlper__gte-large/
description: "gte-large by Alibaba DAMO (thenlper): MTEB(eng, v2) partial, 21 of 41; $0.010 per 1M input tokens at DeepInfra; 2 sellers; as of 2026-09-19. Every figure traces to its source."
---

# gte-large — text embeddings score and price · Undominated.ai

> gte-large by Alibaba DAMO (thenlper): MTEB(eng, v2) partial, 21 of 41; $0.010 per 1M input tokens at DeepInfra; 2 sellers; as of 2026-09-19. Every figure traces to its source.

[Text embeddings](/embeddings/)

# gte-large

Alibaba DAMO (thenlper) · open weights

$0.010 per 1M input tokens, cheapest of 2 sellers (DeepInfra)

Verdict: unrated. As of 2026-09-19 .

## What was measured

| Board | Mean (Task) | Mean (TaskType) | Tasks | Revision |
| --- | --- | --- | --- | --- |
| MTEB(eng, v2) | — | — | 21 of 41 | external |

This model has 21 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 — · PairClassification 85.08 · Reranking 47.84 · Retrieval — · STS — · Summarization —

## 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 | 1e-8 per_token | — | $0.010 per token × 1,000,000 | api.deepinfra.com read 2026-09-19 · feed |
| OpenRouter | 1e-8 per_token | context 512 | $0.010 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.