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Qwen3: Think deeper, act faster

QWEN CHAT GitHub Hugging Face ModelScope Kaggle DEMO DISCORD Introduction Today, we are excited to announce the release of Qwen3, the latest addition to the Qwen family of large language models. Our flagship model, Qwen3-235B-A22B, achieves competitive results in benchmark evaluations of coding, math, general capabilities, etc., when compared to other top-tier models such as DeepSeek-R1, o1, o3-mini, Grok-3, and Gemini-2.5-Pro. Additionally, the small MoE model, Qwen3-30B-A3B, outcompetes QwQ-32B with 10 times of activated parameters, and even a tiny model like Qwen3-4B can rival the performance of Qwen2.

This design enables users to configure task-specific budgets with greater ease, achieving a more optimal balance between cost efficiency and inference quality. Language FamilyLanguages & DialectsIndo-EuropeanEnglish, French, Portuguese, German, Romanian, Swedish, Danish, Bulgarian, Russian, Czech, Greek, Ukrainian, Spanish, Dutch, Slovak, Croatian, Polish, Lithuanian, Norwegian Bokmål, Norwegian Nynorsk, Persian, Slovenian, Gujarati, Latvian, Italian, Occitan, Nepali, Marathi, Belarusian, Serbian, Luxembourgish, Venetian, Assamese, Welsh, Silesian, Asturian, Chhattisgarhi, Awadhi, Maithili, Bhojpuri, Sindhi, Irish, Faroese, Hindi, Punjabi, Bengali, Oriya, Tajik, Eastern Yiddish, Lombard, Ligurian, Sicilian, Friulian, Sardinian, Galician, Catalan, Icelandic, Tosk Albanian, Limburgish, Dari, Afrikaans, Macedonian, Sinhala, Urdu, Magahi, Bosnian, ArmenianSino-TibetanChinese (Simplified Chinese, Traditional Chinese, Cantonese), BurmeseAfro-AsiaticArabic (Standard, Najdi, Levantine, Egyptian, Moroccan, Mesopotamian, Ta’izzi-Adeni, Tunisian), Hebrew, MalteseAustronesianIndonesian, Malay, Tagalog, Cebuano, Javanese, Sundanese, Minangkabau, Balinese, Banjar, Pangasinan, Iloko, Waray (Philippines)DravidianTamil, Telugu, Kannada, MalayalamTurkicTurkish, North Azerbaijani, Northern Uzbek, Kazakh, Bashkir, TatarTai-KadaiThai, LaoUralicFinnish, Estonian, HungarianAustroasiaticVietnamese, KhmerOtherJapanese, Korean, Georgian, Basque, Haitian, Papiamento, Kabuverdianu, Tok Pisin, Swahili Improved Agentic Capabilities In the first stage, we fine-tuned the models using diverse long CoT data, covering various tasks and domains such as mathematics, coding, logical reasoning, and STEM problems.

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