{"schemaVersion":"1.0","generatedFrom":"https://brightaifuture.com/discoveries/qwen3","record":{"id":"qwen3","headline":"Choosing when a model thinks longer.","canonicalUrl":"https://brightaifuture.com/discoveries/qwen3","datePublished":"2026-09-07","dateModified":null,"sourcePublicationDate":"2025-04-29","author":null,"publisher":{"name":"Bright AI Future","url":"https://brightaifuture.com/"},"topics":["open-models"],"summary":"The Qwen team released and described Qwen3, a family of dense and mixture-of-experts language models with selectable thinking and non-thinking modes.","evidenceState":"Deployed","keyFacts":[{"label":"AI’s role","value":"Qwen3 can use a slower step-by-step Thinking Mode or a faster Non-Thinking Mode; the team also reports support for 119 languages and dialects."},{"label":"Documented result","value":"Qwen announced models from 0.6B to 32B dense sizes and 30B-A3B/235B-A22B mixture-of-experts sizes, with pre- and post-trained variants available via Hugging Face, ModelScope, and Kaggle. Its source describes the two operating modes and reports multilingual support."},{"label":"Important limitation","value":"The source's model rankings and language-support claims do not establish comparable accuracy or cultural fit across every listed language or task."}],"limitations":["The source's model rankings and language-support claims do not establish comparable accuracy or cultural fit across every listed language or task.","The source says the family was open-sourced but this dossier does not assert a single license or complete training-data release for every variant; those must be checked per model card.","Longer reasoning can increase latency and cost without guaranteeing a correct answer."],"evidenceLinks":[{"title":"Qwen3: Think Deeper, Act Faster","url":"https://qwenlm.github.io/blog/qwen3/","type":"institution"}],"evidencePackUrl":"https://brightaifuture.com/evidence-pack/qwen3","embedUrl":"https://brightaifuture.com/embed/story/qwen3","attribution":{"credit":"Bright AI Future","requirements":["Link to the canonical Bright record.","Keep material limitations with the claim they qualify.","Link to the original evidence when repeating a substantive claim.","Do not describe a source check or organization-reported result as independent verification."],"sourceRights":"Linked source material, quotations, trademarks and media remain subject to their owners’ terms. No reuse right is granted for third-party media."}},"claim":{"humanProblem":"People building AI systems often need to balance response speed and cost against extra time for complex reasoning, including in multilingual work.","priorConstraint":"A system's reasoning budget is often fixed or hidden from the person using it.","aiRole":"Qwen3 can use a slower step-by-step Thinking Mode or a faster Non-Thinking Mode; the team also reports support for 119 languages and dialects.","documentedResult":"Qwen announced models from 0.6B to 32B dense sizes and 30B-A3B/235B-A22B mixture-of-experts sizes, with pre- and post-trained variants available via Hugging Face, ModelScope, and Kaggle. Its source describes the two operating modes and reports multilingual support.","whyItMayMatter":"Giving developers a stated control over reasoning time could make it easier to reserve slower processing for harder tasks and use faster responses for straightforward work.","unresolvedQuestions":["Do native speakers judge quality and safety similarly across the claimed languages?","When does additional reasoning actually improve a real task?","What data, licensing, and provenance constraints apply to each released variant?"]},"evidenceAssessment":{"state":"Deployed","claimConfidence":"unassessed","reviewState":"approved","reviewMethod":"ai-assisted","reviewNote":"AI-assisted editorial comparison with the cited primary source; result, setting, source date and limitations retained. Independently checked within the research team. Publication authorized by the site owner; no human source review is claimed.","lastSourceReview":"2026-09-07","independentVerification":"not-established-by-this-source-review"},"sources":[{"id":"source-qwen3","title":"Qwen3: Think Deeper, Act Faster","url":"https://qwenlm.github.io/blog/qwen3/","type":"institution"}],"revisions":[{"id":"revision:b4305dfe89bc751fb480","recordedAt":"2026-09-07","summary":"Giving developers a stated control over reasoning time could make it easier to reserve slower processing for harder tasks and use faster responses for straightforward work.","sourceIds":["source-qwen3"]}],"corrections":[]}