{"id":13118,"date":"2025-08-05T20:05:59","date_gmt":"2025-08-05T18:05:59","guid":{"rendered":"https:\/\/haimagazine.com\/?p=13118"},"modified":"2025-08-06T11:33:30","modified_gmt":"2025-08-06T09:33:30","slug":"anthropic-wydaje-claude-opus-4-1","status":"publish","type":"post","link":"https:\/\/haimagazine.com\/pl\/ai_news\/anthropic-wydaje-claude-opus-4-1\/","title":{"rendered":"Anthropic wydaje Claude Opus 4.1"},"content":{"rendered":"<p><strong>Claude Opus 4.1 <\/strong>to ulepszona wersja modelu <strong>Opus 4<\/strong>, dost\u0119pna od dzi\u015b dla u\u017cytkownik\u00f3w p\u0142atnych i w: <strong>Claude Code<\/strong>, <strong>Amazon Bedrock<\/strong> i <strong>Google Cloud Vertex AI<\/strong>. Cena pozostaje bez zmian, a r\u00f3\u017cnice w wydajno\u015bci s\u0105 \u2013 jak zapewnia <strong>Anthropic <\/strong>\u2013 wyra\u017anie odczuwalne.<\/p><p>Nowa wersja osi\u0105ga 74,5% na benchmarku <strong>SWE-bench Verified<\/strong>. To istotna poprawa zdolno\u015bci kodowania i najwy\u017cszy wynik w historii modeli Anthropic, przewy\u017cszaj\u0105cy zar\u00f3wno <strong>Opus 4 <\/strong>(72,5%), jak i <strong>Sonnet 3.7<\/strong> (62,3%).<\/p><figure class=\"wp-block-image size-large\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"576\" src=\"https:\/\/haimagazine.com\/wp-content\/uploads\/2025\/08\/obraz_2025-08-05_194252703-1024x576.png\" alt=\"\" class=\"wp-image-13119\" srcset=\"https:\/\/haimagazine.com\/wp-content\/uploads\/2025\/08\/obraz_2025-08-05_194252703-1024x576.png 1024w, https:\/\/haimagazine.com\/wp-content\/uploads\/2025\/08\/obraz_2025-08-05_194252703-300x169.png 300w, https:\/\/haimagazine.com\/wp-content\/uploads\/2025\/08\/obraz_2025-08-05_194252703-768x432.png 768w, https:\/\/haimagazine.com\/wp-content\/uploads\/2025\/08\/obraz_2025-08-05_194252703-1536x864.png 1536w, https:\/\/haimagazine.com\/wp-content\/uploads\/2025\/08\/obraz_2025-08-05_194252703-2048x1152.png 2048w, https:\/\/haimagazine.com\/wp-content\/uploads\/2025\/08\/obraz_2025-08-05_194252703-600x338.png 600w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><figcaption class=\"wp-element-caption\"><br><em>Por\u00f3wnanie skuteczno\u015bci modeli Claude w zadaniach kodowania (SWE-bench Verified). \u0179r\u00f3d\u0142o: Anthropic<\/em><\/figcaption><\/figure><p>W testach Claude Opus 4.1 wykaza\u0142 tak\u017ce lepsze \u015bledzenie szczeg\u00f3\u0142\u00f3w, sprawno\u015b\u0107 w refaktoryzacji kodu oraz umiej\u0119tno\u015b\u0107 precyzyjnego rozumowania przy u\u017cyciu <strong><em>extended thinking<\/em><\/strong> \u2013 trybu wyd\u0142u\u017conego my\u015blenia wykorzystuj\u0105cego do 64 tys. token\u00f3w. W benchmarkach <strong>TAU-bench<\/strong> model dzia\u0142a\u0142 w wieloetapowych scenariuszach obejmuj\u0105cych nawet do 100 krok\u00f3w (\u015brednio poni\u017cej 30), wykonuj\u0105c rozumowanie i u\u017cywaj\u0105c narz\u0119dzi w oddzielnych etapach. Claude Opus 4.1 u\u017cywa dw\u00f3ch narz\u0119dzi: bash i edytora plik\u00f3w opartego na zamianie ci\u0105g\u00f3w tekstowych. W przeciwie\u0144stwie do Sonnet 3.7. nie korzysta ju\u017c z osobnego narz\u0119dzia planuj\u0105cego.<\/p><p>Model pracuje na tej samej architekturze, ale z nowym zakresem mo\u017cliwo\u015bci \u2013 szczeg\u00f3lnie w wieloetapowych zadaniach i refaktoryzacji kodu, a jego wyniki s\u0105 por\u00f3wnywane z modelem o3 od OpenAI oraz Gemini 2.5 Pro od Google. <br><\/p><figure class=\"wp-block-image size-large\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"821\" src=\"https:\/\/haimagazine.com\/wp-content\/uploads\/2025\/08\/obraz_2025-08-05_194527545-1024x821.png\" alt=\"\" class=\"wp-image-13121\" srcset=\"https:\/\/haimagazine.com\/wp-content\/uploads\/2025\/08\/obraz_2025-08-05_194527545-1024x821.png 1024w, https:\/\/haimagazine.com\/wp-content\/uploads\/2025\/08\/obraz_2025-08-05_194527545-300x240.png 300w, https:\/\/haimagazine.com\/wp-content\/uploads\/2025\/08\/obraz_2025-08-05_194527545-768x616.png 768w, https:\/\/haimagazine.com\/wp-content\/uploads\/2025\/08\/obraz_2025-08-05_194527545-1536x1231.png 1536w, https:\/\/haimagazine.com\/wp-content\/uploads\/2025\/08\/obraz_2025-08-05_194527545-2048x1642.png 2048w, https:\/\/haimagazine.com\/wp-content\/uploads\/2025\/08\/obraz_2025-08-05_194527545-600x481.png 600w, https:\/\/haimagazine.com\/wp-content\/uploads\/2025\/08\/obraz_2025-08-05_194527545-scaled.png 1797w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><figcaption class=\"wp-element-caption\"><em>Wyniki Claude Opus 4.1 na tle innych modeli<\/em>. <em>\u0179r\u00f3d\u0142o: Anthropic<\/em><\/figcaption><\/figure><p><\/p>","protected":false},"excerpt":{"rendered":"<p>Anthropic udost\u0119pnia Claude Opus 4.1 \u2013 aktualizacj\u0119 flagowego modelu, kt\u00f3ra znacz\u0105co poprawia jako\u015b\u0107 kodowania i precyzj\u0119 wyszukiwania informacji.<\/p>\n","protected":false},"author":230,"featured_media":13125,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"rank_math_lock_modified_date":false,"footnotes":""},"categories":[755],"tags":[83,765,534],"popular":[],"difficulty-level":[36],"ppma_author":[884],"class_list":["post-13118","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-ai_news","tag-ai","tag-anthropic","tag-claude","difficulty-level-easy"],"acf":[],"authors":[{"term_id":884,"user_id":230,"is_guest":0,"slug":"karolina-ceron","display_name":"Karolina Cero\u0144","avatar_url":"https:\/\/haimagazine.com\/wp-content\/uploads\/2025\/07\/PXL_20250419_110132091.MP4-scaled.jpg","first_name":"Karolina","last_name":"Cero\u0144","user_url":"","job_title":"","description":"Wsp\u00f3\u0142tw\u00f3rczyni newslettera AI Flash, studentka psychologii i pasjonatka sztucznej inteligencji. Interesuj\u0119 si\u0119 wp\u0142ywem nowych technologii na cz\u0142owieka, a w wolnych chwilach eksperymentuj\u0119 z generatywn\u0105 grafik\u0105 w Midjourney."}],"_links":{"self":[{"href":"https:\/\/haimagazine.com\/pl\/wp-json\/wp\/v2\/posts\/13118","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/haimagazine.com\/pl\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/haimagazine.com\/pl\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/haimagazine.com\/pl\/wp-json\/wp\/v2\/users\/230"}],"replies":[{"embeddable":true,"href":"https:\/\/haimagazine.com\/pl\/wp-json\/wp\/v2\/comments?post=13118"}],"version-history":[{"count":1,"href":"https:\/\/haimagazine.com\/pl\/wp-json\/wp\/v2\/posts\/13118\/revisions"}],"predecessor-version":[{"id":13123,"href":"https:\/\/haimagazine.com\/pl\/wp-json\/wp\/v2\/posts\/13118\/revisions\/13123"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/haimagazine.com\/pl\/wp-json\/wp\/v2\/media\/13125"}],"wp:attachment":[{"href":"https:\/\/haimagazine.com\/pl\/wp-json\/wp\/v2\/media?parent=13118"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/haimagazine.com\/pl\/wp-json\/wp\/v2\/categories?post=13118"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/haimagazine.com\/pl\/wp-json\/wp\/v2\/tags?post=13118"},{"taxonomy":"popular","embeddable":true,"href":"https:\/\/haimagazine.com\/pl\/wp-json\/wp\/v2\/popular?post=13118"},{"taxonomy":"difficulty-level","embeddable":true,"href":"https:\/\/haimagazine.com\/pl\/wp-json\/wp\/v2\/difficulty-level?post=13118"},{"taxonomy":"author","embeddable":true,"href":"https:\/\/haimagazine.com\/pl\/wp-json\/wp\/v2\/ppma_author?post=13118"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}