Text embeddings

gte-Qwen2-7B-instruct

Alibaba NLP · open weights

— no traceable price

Verdict: no data. As of .

What was measured

BoardMean (Task)Mean (TaskType)TasksRevision
MTEB(eng, v2)——33 of 41e26182b2122f4435e8b3ebecbf363990f409b45b

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

Read the full source record
  • Quality: github.com, licensed cc0-1.0.
  • Prices: none on record. No figure on this page claims a price for this model.
  • Built 2026-11-05 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.

Evidence & Ask