{"schema_version":"onlylabs.public_signal.v1","title":"Qwen (Alibaba Cloud) Writing: QVQ-Max: Think with Evidence","description":"Qwen (Alibaba Cloud) writing signal with public source context, captured evidence pages, related signals, and data-business radar classification.","url":"https://onlylabs.fyi/signals/c9f2a4e1-f739-4b2b-857b-bfaa84e38122","json_url":"https://onlylabs.fyi/signals/c9f2a4e1-f739-4b2b-857b-bfaa84e38122/signal.json","generated_at":"2026-06-07T21:16:01.521839+00:00","org":{"slug":"qwen","name":"Qwen (Alibaba Cloud)","category":"frontier-lab","category_label":"Frontier lab","dossier_url":"https://onlylabs.fyi/labs/qwen","dossier_json_url":"https://onlylabs.fyi/labs/qwen/dossier.json"},"related_urls":{"signal":"https://onlylabs.fyi/signals/c9f2a4e1-f739-4b2b-857b-bfaa84e38122","signal_json":"https://onlylabs.fyi/signals/c9f2a4e1-f739-4b2b-857b-bfaa84e38122/signal.json","source":"https://qwenlm.github.io/blog/qvq-max-preview/","lab_dossier":"https://onlylabs.fyi/labs/qwen","lab_dossier_json":"https://onlylabs.fyi/labs/qwen/dossier.json","analysis":"https://onlylabs.fyi/analysis/qwen","analysis_json":"https://onlylabs.fyi/analysis/qwen/analysis.json","analysis_evidence_json":"https://onlylabs.fyi/analysis/qwen/evidence.json","category":"https://onlylabs.fyi/frontier","category_json":"https://onlylabs.fyi/frontier.json","category_feed":"https://onlylabs.fyi/frontier/feed.xml","category_signals_json":"https://onlylabs.fyi/signals.json","topic":"https://onlylabs.fyi/topics/talking","topic_signals_json":"https://onlylabs.fyi/topics/talking/signals.json","topic_feed":"https://onlylabs.fyi/topics/talking/feed.xml","data_business":{"radar":"https://onlylabs.fyi/data-radar","radar_json":"https://onlylabs.fyi/data-radar.json","opportunities":"https://onlylabs.fyi/opportunities","opportunities_json":"https://onlylabs.fyi/opportunities.json","lanes":[{"key":"product","label":"Product and customer","url":"https://onlylabs.fyi/data-radar/product","json_url":"https://onlylabs.fyi/data-radar/product/signals.json"}]}},"answer_pack":{"answer":"Qwen (Alibaba Cloud) published QVQ-Max: Think with Evidence. This talking signal gives public context for research themes, product direction, policy, or launch framing. High-signal details: Notable Qwen reasoning model release · QVQ-Max: Think with Evidence | Qwen We have a new blog! View this page at qwen.ai . This page will automatically redirect in 5 seconds. If you are not redirected.... onlylabs links this event to 1 captured evidence page and 6 related writing signals. It also maps to Product and customer in the data-business radar.","signal_desk":"talking","source_context":{"source_url":"https://qwenlm.github.io/blog/qvq-max-preview/","source_host":"qwenlm.github.io","occurred_at":"2025-03-28T00:00:00.000Z","first_seen_at":"2026-06-05T05:42:59.088452+00:00","date_source":"page.visible_date","context":null},"context_markers":[{"label":"Lab","value":"Qwen (Alibaba Cloud)","source":"signal"},{"label":"Signal desk","value":"talking","source":"signal"},{"label":"Source host","value":"qwenlm.github.io","source":"source"},{"label":"Notability","value":"Notable Qwen reasoning model release","source":"signal"},{"label":"Radar lane","value":"Product and customer","source":"radar"},{"label":"Matched term","value":"solutions","source":"radar"},{"label":"Watch term","value":"Eval methodology","source":"evidence"},{"label":"Watch term","value":"Model card","source":"model"},{"label":"Watch term","value":"Agents and tool 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customer."},"agent_handoff":{"signal_json":"https://onlylabs.fyi/signals/c9f2a4e1-f739-4b2b-857b-bfaa84e38122/signal.json","dossier_json":"https://onlylabs.fyi/labs/qwen/dossier.json","analysis_json":"https://onlylabs.fyi/analysis/qwen/analysis.json","analysis_evidence_json":"https://onlylabs.fyi/analysis/qwen/evidence.json","topic_signals_json":"https://onlylabs.fyi/topics/talking/signals.json","topic_feed":"https://onlylabs.fyi/topics/talking/feed.xml","category_signals_json":"https://onlylabs.fyi/signals.json","data_radar_json":"https://onlylabs.fyi/data-radar.json","opportunities_json":"https://onlylabs.fyi/opportunities.json"},"analysis_playbook":{"objective":"Turn public writing and discussion into a readable map of research themes, product framing, policy posture, launch narratives, and market attention.","evidence_focus":["post title","source URL","captured page text","HN traction","linked model or paper references","publication date"],"extraction_questions":["Which themes are labs choosing to explain publicly?","Which posts are attracting outside discussion?","Which writing reframes a recent release, model, hiring wave, or policy stance?","Which posts mention data, evals, infrastructure, safety, or deployment workflows?"],"signal_questions":["What public theme, launch framing, or research direction does this writing signal expose?","Which themes are labs choosing to explain publicly?","Which posts are attracting outside discussion?","Which data-business lane explains this signal: Product and customer?","Do the 6 related writing signals show a repeated pattern?"],"output_fields":["org","theme","public_framing","traction","data_business_lane","evidence_url"],"data_business_relevance":"Public writing supplies the narrative layer over raw signals and helps identify which frontier-lab priorities are becoming externally legible.","required_sources":[{"label":"signal_json","url":"https://onlylabs.fyi/signals/c9f2a4e1-f739-4b2b-857b-bfaa84e38122/signal.json","required":true},{"label":"source","url":"https://qwenlm.github.io/blog/qvq-max-preview/","required":true},{"label":"dossier_json","url":"https://onlylabs.fyi/labs/qwen/dossier.json","required":true},{"label":"analysis_evidence_json","url":"https://onlylabs.fyi/analysis/qwen/evidence.json","required":true},{"label":"topic_signals_json","url":"https://onlylabs.fyi/topics/talking/signals.json","required":false},{"label":"data_radar_json","url":"https://onlylabs.fyi/data-radar.json","required":true}],"expected_output":["one-paragraph source-grounded interpretation","data-business implication","confidence and missing evidence","recommended next source to inspect"],"prompt_seed":"Using only the linked onlylabs JSON, captured source context, and cited evidence, analyze Qwen (Alibaba Cloud)'s writing signal \"QVQ-Max: Think with Evidence\" for frontier lab strategy and data-business implications."},"semantic_triples":[{"subject":"Qwen (Alibaba Cloud)","predicate":"published","object":"QVQ-Max: Think with Evidence","text":"Qwen (Alibaba Cloud) published QVQ-Max: Think with Evidence."},{"subject":"QVQ-Max: Think with Evidence","predicate":"is classified as","object":"writing signal","text":"QVQ-Max: Think with Evidence is classified as writing signal."},{"subject":"QVQ-Max: Think with Evidence","predicate":"belongs to","object":"talking desk","text":"QVQ-Max: Think with Evidence belongs to talking desk."},{"subject":"QVQ-Max: Think with Evidence","predicate":"has evidence coverage","object":"1 captured evidence page","text":"QVQ-Max: Think with Evidence has evidence coverage 1 captured evidence page."},{"subject":"QVQ-Max: Think with Evidence","predicate":"matches data-business lanes","object":"Product and customer","text":"QVQ-Max: Think with Evidence matches data-business lanes Product and customer."},{"subject":"QVQ-Max: Think with Evidence","predicate":"has captured page count","object":"1","text":"QVQ-Max: Think with Evidence has captured page count 1."},{"subject":"QVQ-Max: Think with Evidence","predicate":"has readable page count","object":"1","text":"QVQ-Max: Think with Evidence has readable page count 1."},{"subject":"QVQ-Max: Think with Evidence","predicate":"has related signal count","object":"6","text":"QVQ-Max: Think with Evidence has related signal count 6."},{"subject":"QVQ-Max: Think with Evidence","predicate":"has analysis playbook objective","object":"Turn public writing and discussion into a readable map of research themes, product framing, policy posture, launch narratives, and market attention.","text":"QVQ-Max: Think with Evidence has analysis playbook objective Turn public writing and discussion into a readable map of research themes, product framing, policy posture, launch narratives, and market attention.."},{"subject":"QVQ-Max: Think with Evidence","predicate":"has source host","object":"qwenlm.github.io","text":"QVQ-Max: Think with Evidence has source host qwenlm.github.io."},{"subject":"QVQ-Max: Think with Evidence","predicate":"has lab","object":"Qwen (Alibaba Cloud)","text":"QVQ-Max: Think with Evidence has lab Qwen (Alibaba Cloud)."},{"subject":"QVQ-Max: Think with Evidence","predicate":"has signal desk","object":"talking","text":"QVQ-Max: Think with Evidence has signal desk talking."},{"subject":"QVQ-Max: Think with Evidence","predicate":"has source host","object":"qwenlm.github.io","text":"QVQ-Max: Think with Evidence has source host qwenlm.github.io."},{"subject":"QVQ-Max: Think with Evidence","predicate":"has notability","object":"Notable Qwen reasoning model release","text":"QVQ-Max: Think with Evidence has notability Notable Qwen reasoning model release."},{"subject":"QVQ-Max: Think with Evidence","predicate":"has radar lane","object":"Product and customer","text":"QVQ-Max: Think with Evidence has radar lane Product and customer."},{"subject":"QVQ-Max: Think with Evidence","predicate":"has matched term","object":"solutions","text":"QVQ-Max: Think with Evidence has matched term solutions."},{"subject":"QVQ-Max: Think with Evidence","predicate":"has watch term","object":"Eval methodology","text":"QVQ-Max: Think with Evidence has watch term Eval methodology."},{"subject":"QVQ-Max: Think with Evidence","predicate":"has watch term","object":"Model card","text":"QVQ-Max: Think with Evidence has watch term Model card."}]},"intelligence":{"signal_desk":"talking","answer":"Qwen (Alibaba Cloud) published QVQ-Max: Think with Evidence. This talking signal gives public context for research themes, product direction, policy, or launch framing. High-signal details: Notable Qwen reasoning model release · QVQ-Max: Think with Evidence | Qwen We have a new blog! View this page at qwen.ai . This page will automatically redirect in 5 seconds. If you are not redirected.... onlylabs links this event to 1 captured evidence page and 6 related writing signals. It also maps to Product and customer in the data-business radar.","semantic_triples":[{"subject":"Qwen (Alibaba Cloud)","predicate":"published","object":"QVQ-Max: Think with Evidence","text":"Qwen (Alibaba Cloud) published QVQ-Max: Think with Evidence."},{"subject":"QVQ-Max: Think with Evidence","predicate":"is classified as","object":"writing signal","text":"QVQ-Max: Think with Evidence is classified as writing signal."},{"subject":"QVQ-Max: Think with Evidence","predicate":"belongs to","object":"talking desk","text":"QVQ-Max: Think with Evidence belongs to talking desk."},{"subject":"QVQ-Max: Think with Evidence","predicate":"has evidence coverage","object":"1 captured evidence page","text":"QVQ-Max: Think with Evidence has evidence coverage 1 captured evidence page."},{"subject":"QVQ-Max: Think with Evidence","predicate":"matches data-business lanes","object":"Product and customer","text":"QVQ-Max: Think with Evidence matches data-business lanes Product and customer."}]},"signal":{"id":"c9f2a4e1-f739-4b2b-857b-bfaa84e38122","url":"https://onlylabs.fyi/signals/c9f2a4e1-f739-4b2b-857b-bfaa84e38122","json_url":"https://onlylabs.fyi/signals/c9f2a4e1-f739-4b2b-857b-bfaa84e38122/signal.json","source_url":"https://qwenlm.github.io/blog/qvq-max-preview/","title":"QVQ-Max: Think with Evidence","summary":"Qwen (Alibaba Cloud) published a writing signal. onlylabs watches public writing for research themes, product direction, and model-launch context.","context":null,"kind":{"key":"post_published","label":"Writing"},"org":{"slug":"qwen","name":"Qwen (Alibaba Cloud)","category":"frontier-lab"},"occurred_at":"2025-03-28T00:00:00.000Z","first_seen_at":"2026-06-05T05:42:59.088452+00:00","date_source":"page.visible_date","evidence_coverage":{"target_pages":1,"captured_pages":1,"readable_pages":1,"capture_methods":["plain"],"missing_page_urls":[],"failed_page_urls":[],"blocked_page_urls":[],"page_urls":["https://qwenlm.github.io/blog/qvq-max-preview/"]},"facets":{},"traction":{"github_stars":null,"hn_points":null,"hn_comments":null,"hn_story_id":null,"hf_downloads":null,"hf_likes":null},"data_radar":{"lanes":[{"key":"product","label":"Product and customer","url":"https://onlylabs.fyi/data-radar/product"}],"score":13,"matched_terms":["solutions"],"reason":"Qwen (Alibaba Cloud) has a writing signal matching product and customer."}},"primary_evidence_page":{"url":"https://qwenlm.github.io/blog/qvq-max-preview/","final_url":"https://qwenlm.github.io/blog/qvq-max-preview/","title":"QVQ-Max: Think with Evidence","http_status":200,"content_type":"text/html; charset=utf-8","capture_method":"plain","fetched_at":"2026-06-07T21:16:01.521839+00:00","bytes":27688,"raw_path":"6eccaecfb3f686bbd6e1009ba6789080136a121a235a3d0a7d3a67a98407c7d6.html","content_hash":"bcb173591800c8d764cd73c1d03cc58c36eb9b5b2a08a4a5607ec2b00e1534ae","excerpt_chars":1200,"truncated":true,"excerpt":"QVQ-Max: Think with Evidence | Qwen We have a new blog! View this page at qwen.ai . This page will automatically redirect in 5 seconds. If you are not redirected automatically, please click the button below. Go Now QVQ-Max: Think with Evidence March 28, 2025 · 4 min · 829 words · Qwen Team | Translations: 简体中文 QWEN CHAT GITHUB HUGGING FACE MODELSCOPE DISCORD Introduction # Last December, we launched QVQ-72B-Preview as an exploratory model, but it had many issues. Today, we are officially releasing the first version of QVQ-Max, our visual reasoning model. This model can not only “understand” the content in images and videos but also analyze and reason with this information to provide solutions. From math problems to everyday questions, from programming code to artistic creation, QVQ-Max has demonstrated impressive capabilities. Though this is just our first version, its potential is already eye-catching. MathVision is a benchmark that aggregates various challenging multimodal mathematical problems, and we evaluate a model’s ability to solve complex math problems based on its performance on this benchmark. As shown in the figure, by adjusting the maximum length of..."},"evidence_pages":[{"url":"https://qwenlm.github.io/blog/qvq-max-preview/","final_url":"https://qwenlm.github.io/blog/qvq-max-preview/","title":"QVQ-Max: Think with Evidence","http_status":200,"content_type":"text/html; charset=utf-8","capture_method":"plain","fetched_at":"2026-06-07T21:16:01.521839+00:00","bytes":27688,"raw_path":"6eccaecfb3f686bbd6e1009ba6789080136a121a235a3d0a7d3a67a98407c7d6.html","content_hash":"bcb173591800c8d764cd73c1d03cc58c36eb9b5b2a08a4a5607ec2b00e1534ae","excerpt_chars":1200,"truncated":true,"excerpt":"QVQ-Max: Think with Evidence | Qwen We have a new blog! View this page at qwen.ai . This page will automatically redirect in 5 seconds. If you are not redirected automatically, please click the button below. Go Now QVQ-Max: Think with Evidence March 28, 2025 · 4 min · 829 words · Qwen Team | Translations: 简体中文 QWEN CHAT GITHUB HUGGING FACE MODELSCOPE DISCORD Introduction # Last December, we launched QVQ-72B-Preview as an exploratory model, but it had many issues. Today, we are officially releasing the first version of QVQ-Max, our visual reasoning model. This model can not only “understand” the content in images and videos but also analyze and reason with this information to provide solutions. From math problems to everyday questions, from programming code to artistic creation, QVQ-Max has demonstrated impressive capabilities. Though this is just our first version, its potential is already eye-catching. MathVision is a benchmark that aggregates various challenging multimodal mathematical problems, and we evaluate a model’s ability to solve complex math problems based on its performance on this benchmark. As shown in the figure, by adjusting the maximum length of..."}],"related_signals":[{"id":"54029233-5b0e-4748-aae1-6013ae3553d0","url":"https://onlylabs.fyi/signals/54029233-5b0e-4748-aae1-6013ae3553d0","source_url":"https://qwenlm.github.io/blog/qwen3guard/","title":"Qwen3Guard: Real-time Safety for Your Token Stream","context":null,"kind":{"key":"post_published","label":"Writing"},"org":{"slug":"qwen","name":"Qwen (Alibaba Cloud)","category":"frontier-lab"},"occurred_at":"2025-09-22T20:00:00+00:00","first_seen_at":"2026-06-05T05:42:59.088452+00:00","date_source":"rss.item_date"},{"id":"4e64c872-3d4f-4d01-8908-35b65736eb6e","url":"https://onlylabs.fyi/signals/4e64c872-3d4f-4d01-8908-35b65736eb6e","source_url":"https://qwenlm.github.io/blog/qwen-image-edit/","title":"Qwen-Image-Edit: Image Editing with Higher Quality and Efficiency","context":null,"kind":{"key":"post_published","label":"Writing"},"org":{"slug":"qwen","name":"Qwen (Alibaba Cloud)","category":"frontier-lab"},"occurred_at":"2025-08-18T17:30:00+00:00","first_seen_at":"2026-06-05T05:42:59.088452+00:00","date_source":"rss.item_date"},{"id":"27bd1b4a-28a4-423c-abb0-e5d24251de65","url":"https://onlylabs.fyi/signals/27bd1b4a-28a4-423c-abb0-e5d24251de65","source_url":"https://qwenlm.github.io/blog/qwen-image/","title":"Qwen-Image: Crafting with Native Text Rendering","context":null,"kind":{"key":"post_published","label":"Writing"},"org":{"slug":"qwen","name":"Qwen (Alibaba Cloud)","category":"frontier-lab"},"occurred_at":"2025-08-04T14:08:30+00:00","first_seen_at":"2026-06-05T05:42:59.088452+00:00","date_source":"rss.item_date"},{"id":"c662ae5e-1dd9-42a6-8297-87bc670d59ef","url":"https://onlylabs.fyi/signals/c662ae5e-1dd9-42a6-8297-87bc670d59ef","source_url":"https://qwenlm.github.io/blog/gspo/","title":"GSPO: Towards Scalable Reinforcement Learning for Language Models","context":null,"kind":{"key":"post_published","label":"Writing"},"org":{"slug":"qwen","name":"Qwen (Alibaba Cloud)","category":"frontier-lab"},"occurred_at":"2025-07-27T07:00:00+00:00","first_seen_at":"2026-06-05T05:42:59.088452+00:00","date_source":"rss.item_date"},{"id":"22c0d58c-5ce1-4d1f-97df-de5ebd764517","url":"https://onlylabs.fyi/signals/22c0d58c-5ce1-4d1f-97df-de5ebd764517","source_url":"https://qwenlm.github.io/blog/qwen-mt/","title":"Qwen-MT: Where Speed Meets Smart Translation","context":null,"kind":{"key":"post_published","label":"Writing"},"org":{"slug":"qwen","name":"Qwen (Alibaba Cloud)","category":"frontier-lab"},"occurred_at":"2025-07-24T14:00:00+00:00","first_seen_at":"2026-06-05T05:42:59.088452+00:00","date_source":"rss.item_date"},{"id":"b6e0bdb2-ffd3-4aed-b44b-732a5e0424a5","url":"https://onlylabs.fyi/signals/b6e0bdb2-ffd3-4aed-b44b-732a5e0424a5","source_url":"https://qwenlm.github.io/blog/qwen3-coder/","title":"Qwen3-Coder: Agentic Coding in the World","context":null,"kind":{"key":"post_published","label":"Writing"},"org":{"slug":"qwen","name":"Qwen (Alibaba Cloud)","category":"frontier-lab"},"occurred_at":"2025-07-22T13:00:00+00:00","first_seen_at":"2026-06-05T05:42:59.088452+00:00","date_source":"rss.item_date"}]}