Author's guidance: LLM embeddings only worth it for reasoning-heavy retrieval
Muennighoff · x · 2026-08-20
In a follow-up thread, the paper's author gives concrete guidance: for retrieval tasks, especially reasoning-heavy ones, the extra LLM cost can be worth it. For classification and STS, stick with embedding models. Clustering is mixed, but since embeddings are usually cheaper, the LLM may not justify its cost.
Related event: Study: LLMs Marginally Beat Embedding Models but at 1000x Cost(2 posts)→
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