OpenAI embeddings fall to 13th place, losing to free Qwen3 model

OpenAI's text-embedding-3-large model has dropped to 13th place out of 15 on the 2026 aggregate embedding leaderboard, scoring 58.96. This performance is significantly lower than the top-ranked Qwen3-Embedding-8B, which achieved a score of 70.58 and is available under an Apache 2.0 license at no cost. Even smaller variants of Qwen3-Embedding can outperform OpenAI's model, highlighting a potential issue in the retrieval layer of many Retrieval-Augmented Generation (RAG) systems that often rely on outdated embedding endpoints. AI

IMPACT Highlights potential performance issues in RAG systems and suggests a shift towards more efficient, open-source embedding models.

RANK_REASON Article analyzes performance of existing models and provides an opinion on switching, rather than announcing a new release or significant industry event.

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• 2026 aggregate embedding leaderboard
• Apache Software License 2.0
• GPT-5.6
• Grok
• LangChain
• MacBook
• OpenAI
• Opus 4.8
• Qwen3-Embedding-8B
• retrieval-augmented generation
• text-embedding-3-large

• model release

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