{"schema_version":"onlylabs.public_signal.v1","title":"Qwen (Alibaba Cloud) Writing: Extending the Context Length to 1M Tokens!","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/97fc82a0-6ce4-4a20-b770-4f20bba8e47c","json_url":"https://onlylabs.fyi/signals/97fc82a0-6ce4-4a20-b770-4f20bba8e47c/signal.json","generated_at":"2026-06-07T21:16:19.677055+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/97fc82a0-6ce4-4a20-b770-4f20bba8e47c","signal_json":"https://onlylabs.fyi/signals/97fc82a0-6ce4-4a20-b770-4f20bba8e47c/signal.json","source":"https://qwenlm.github.io/blog/qwen2.5-turbo/","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":"infrastructure","label":"Infrastructure","url":"https://onlylabs.fyi/data-radar/infrastructure","json_url":"https://onlylabs.fyi/data-radar/infrastructure/signals.json"},{"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 Extending the Context Length to 1M Tokens!. This talking signal gives public context for research themes, product direction, policy, or launch framing. High-signal details: Significant context length extension, notable research. · Extending the Context Length to 1M Tokens! | Qwen We have a new blog! View this page at qwen.ai . This page will automatically redirect in 5 seconds. If you are not.... onlylabs links this event to 1 captured evidence page and 6 related writing signals. It also maps to Infrastructure, Product and customer in the data-business radar.","signal_desk":"talking","source_context":{"source_url":"https://qwenlm.github.io/blog/qwen2.5-turbo/","source_host":"qwenlm.github.io","occurred_at":"2024-11-15T00:00:00.000Z","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":"Significant context length extension, notable research.","source":"signal"},{"label":"HN","value":"Positive reaction to Qwen2.5-Coder's 1M context, but note token-to-word discrepancy.","source":"source"},{"label":"Radar lane","value":"Infrastructure","source":"radar"},{"label":"Radar lane","value":"Product and customer","source":"radar"},{"label":"Matched 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count 6."},{"subject":"Extending the Context Length to 1M Tokens!","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":"Extending the Context Length to 1M Tokens! 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":"Extending the Context Length to 1M Tokens!","predicate":"has source host","object":"qwenlm.github.io","text":"Extending the Context Length to 1M Tokens! has source host qwenlm.github.io."},{"subject":"Extending the Context Length to 1M Tokens!","predicate":"has lab","object":"Qwen (Alibaba Cloud)","text":"Extending the Context Length to 1M Tokens! has lab Qwen (Alibaba Cloud)."},{"subject":"Extending the Context Length to 1M Tokens!","predicate":"has signal 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This talking signal gives public context for research themes, product direction, policy, or launch framing. High-signal details: Significant context length extension, notable research. · Extending the Context Length to 1M Tokens! | Qwen We have a new blog! View this page at qwen.ai . This page will automatically redirect in 5 seconds. If you are not.... onlylabs links this event to 1 captured evidence page and 6 related writing signals. 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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 Extending the Context Length to 1M Tokens! November 15, 2024 · 11 min · 2314 words · Qwen Team | Translations: 简体中文 API Documentation (Chinese) HuggingFace Demo ModelScope Demo Introduction # After the release of Qwen2.5, we heard the community&rsquo;s demand for processing longer contexts. In recent months, we have made many optimizations for the model capabilities and inference performance of extremely long context. Today, we are proud to introduce the new Qwen2.5-Turbo version, which features: Longer Context Support : We have extended the model&rsquo;s context length from 128k to 1M , which is approximately 1 million English words or 1.5 million Chinese characters , equivalent to 10 full-length novels, 150 hours of speech transcripts, or 30,000 lines of code. The model achieves 100% accuracy in the 1M length Passkey Retrieval task and scores 93.1 on the long text evaluation benchmark RULER, surpassing GPT-4&rsquo;s 91.6 and GLM4-9B-1M&rsquo;s 89.9...."},"evidence_pages":[{"url":"https://qwenlm.github.io/blog/qwen2.5-turbo/","final_url":"https://qwenlm.github.io/blog/qwen2.5-turbo/","title":"Extending the Context Length to 1M Tokens!","http_status":200,"content_type":"text/html; charset=utf-8","capture_method":"plain","fetched_at":"2026-06-07T21:16:19.677055+00:00","bytes":60663,"raw_path":"ecac5d71389f3915a1add35fa2f31d3fe4560fe775d31dba376252e70739f85d.html","content_hash":"a6282cc1fa0b2f38d38766894bb472ae8cc793990352363d1dd6f8c5a48280d9","excerpt_chars":1200,"truncated":true,"excerpt":"Extending the Context Length to 1M Tokens! | 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 Extending the Context Length to 1M Tokens! November 15, 2024 · 11 min · 2314 words · Qwen Team | Translations: 简体中文 API Documentation (Chinese) HuggingFace Demo ModelScope Demo Introduction # After the release of Qwen2.5, we heard the community&rsquo;s demand for processing longer contexts. In recent months, we have made many optimizations for the model capabilities and inference performance of extremely long context. Today, we are proud to introduce the new Qwen2.5-Turbo version, which features: Longer Context Support : We have extended the model&rsquo;s context length from 128k to 1M , which is approximately 1 million English words or 1.5 million Chinese characters , equivalent to 10 full-length novels, 150 hours of speech transcripts, or 30,000 lines of code. The model achieves 100% accuracy in the 1M length Passkey Retrieval task and scores 93.1 on the long text evaluation benchmark RULER, surpassing GPT-4&rsquo;s 91.6 and GLM4-9B-1M&rsquo;s 89.9...."}],"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"}]}