{"slug": "pine-ai-getting-75-4-sota-on-t3-voice-leaderboard", "title": "Pine AI getting 75.4% (SoTA) on τ³-Voice Leaderboard", "summary": "Pine AI's model achieved a 75.4% score on the τ³-Voice Leaderboard, setting a new state-of-the-art (SoTA) for text agents resolving banking customer-service tasks over a ~700-document knowledge base, as published in τ-knowledge. The result was announced by Pine AI, which claims the top rank, surpassing previous models including Qwen 3.8 Max.", "body_md": "Text agents resolving banking customer-service tasks over a ~700-document knowledge base. Published as τ-knowledge.\n\n| Rank | Model | Released | Retrieval | Reasoning | User Sim | ||\n|---|---|---|---|---|---|---|---|\n| #1 | Qwen 3.8 Max |\n|\n\n`model_release.release_date`\n\nfall back to the evaluation date.Have new results to share? Submit your model evaluation results by creating a pull request to add your JSON submission file. See our submission guidelines for the required format and process.", "url": "https://wpnews.pro/news/pine-ai-getting-75-4-sota-on-t3-voice-leaderboard", "canonical_source": "http://taubench.com/leaderboard/", "published_at": "2026-08-20 10:24:06+00:00", "updated_at": "2026-08-20 10:45:32.928927+00:00", "lang": "en", "topics": ["artificial-intelligence", "natural-language-processing", "ai-research"], "entities": ["Pine AI", "Qwen 3.8 Max", "τ³-Voice Leaderboard", "τ-knowledge"], "alternates": {"html": "https://wpnews.pro/news/pine-ai-getting-75-4-sota-on-t3-voice-leaderboard", "markdown": "https://wpnews.pro/news/pine-ai-getting-75-4-sota-on-t3-voice-leaderboard.md", "text": "https://wpnews.pro/news/pine-ai-getting-75-4-sota-on-t3-voice-leaderboard.txt", "jsonld": "https://wpnews.pro/news/pine-ai-getting-75-4-sota-on-t3-voice-leaderboard.jsonld"}}