Claude Opus 5.5 Uyasebenza

I-Claude Opus 5.5 iyimodeli yokuqala evelele ochungechungeni lwe-Claude 5.5 olwakhiwe yi-Anthropic, futhi ukusebenza kwayo kuqhathaniswa ne-Claude Fable 5.1 yakwa-Anthropic. Imodeli ihamba phambili ku-Terminal-Bench 4.0 (66.4%) naku-GDPval-AA v2.1 (1846 Elo), phakathi kwamanye amazinga okuhlola okuhlela nomsebenzi wolwazi, idlule i-GPT-6 Astra; amanani okufaka nokukhipha ehle ngo-20%, ukufundwa kwe-cache kwehle ngo-60%, izindleko eziphelele zemisebenzi evamile zehla ngo-40%, kanti okukhiphayo kushesha ngaphezu kuka-30%. Iphinde yathuthukisa kakhulu ukuxhumana nokubhala, yathola amaphuzu angcono kunawo wonke emlandweni ekuhlolweni kokuphepha, futhi okokuqala yafakelwa izivikelo zokuphepha ezisezingeni le-Fable ku-Opus.

Ukuhlela ngama-agent: Ithole u-66.4% ku-Terminal-Bench 4.0, ikwazi ukuhambisa imigqa yekhodi engu-680,000 ngosuku olulodwa nokuhlola ikhodi engu-200,000 emahoreni amathathu.
Ukuhlelwa kabusha kwekhodi ngezinga elikhulu: Isebenza kahle ekuthuthweni nasekuhlolweni kwamarepository ekhodi, njengokubhala kabusha i-HAProxy ukusuka ku-C kuya ku-Rust, isheshe ngehora elingu-2.5 futhi yonga u-51% wezindleko uma iqhathaniswa ne-Fable 5.1.
Umsebenzi wolwazi nocwaningo: Ifinyelele ku-1846 Elo ku-GDPval-AA v2.1; lapho ibhala imibiko yezimali futhi yakha amamodeli ezimali, ayiqambi izinombolo futhi ithola ngokuzenzakalela amaphutha emiyalweni yokuhlola.
Ukulawulwa kwekhompyutha: Ithole u-81.8% ku-OSWorld 2.0, ikwazi ukuqedela ngokuzenzakalela imisebenzi eyinkimbinkimbi yekhompyutha esebenzisa izinhlelo eziningi.
Ukuxhumana nokubhala okuphumelelayo: Ifunde ukubeka “isiphetho kuqala” nokunciphisa ulimi lobuchwepheshe olungacacile, okwenza okukhiphayo kuhambisane kangcono nemikhuba yokufunda yabantu futhi kuthuthukise kakhulu ukusebenzisana isikhathi eside.
Ukuzenzakalela kokugeleza kwebhizinisi: Ithole u-40.0% ku-AutomationBench, ikwazi ukuqedela ngokuzimela ukuzenzakalela kwezinqubo zebhizinisi ezisebenzisa amasistimu ahlukene, ngokuhlolwa kwe-Zapier.
Izibalo nokucabanga: Ithole u-67.7% ku-Humanity’s Last Exam isebenzisa amathuluzi, okwenza ikhono layo lokucabanga emikhakheni eminingi libe namandla kakhulu okwamanje.
Ukuvikeleka kwezinga lebhizinisi: Ihlola isenzo ngasinye ngaphambi kokusenza, isebenzisa i-sandbox evulekile, futhi iskena ubungozi ngaphambi kokuhlanganiswa kwekhodi; ukumelana nokujovwa kwemiyalo kuyalingana nokwe-Fable 5.1, okungcono kakhulu.

Isakhiwo esiyisisekelo: Sakhelwe phezu kwesakhiwo esikhulu se-Transformer; inani lamapharamitha alikashicilelwa. Indlela esemqoka ukucabanga okuzivumelanisa nezimo (Adaptive Thinking), okunikeza ukubala kokucabanga ngokuya ngobunzima bomsebenzi. Umsebenzisi angalawula ukujula ngokusebenzisa amazinga e-effort, futhi izinga eliphakathi lingalinganisa ukusebenza kwezinga eliphakeme langaphambilini.
Indlela yokuqeqesha: Iqhubeka nohlelo lwe-Constitutional AI / RLAIF futhi iyaluqinisa: iqinisa ukuhlungwa kwezindawo zokuqeqesha ze-RL, ithuthukise imivuzo yokuqondanisa, futhi ikhiqize ngokuzenzakalela izimo zokuqeqesha ezihlukahlukene zokuphepha, ukuze kuncishiswe kusenesikhathi ukuziphatha okuphambukayo “kokwephula imithetho ukuze kufinyelelwe enjongweni”.
Ukuthuthukisa ukusebenza kahle: Ngokuqinisa ukufunda ezingeni lemikhondo, iklomelisa “ukuqedela umsebenzi” kunokuthi “inqubo iphelele”, okwenza imodeli ifinyelele umphumela ngezinyathelo nama-token ambalwa. Uhlangothi olubi ukuthi lapho kusetshenziswa i-max effort, ama-token okucabanga akhula ngo-60%: kubalwa kakhulu ngaphakathi ukuze kwehliswe izenzo zangaphandle.
Ukuvikeleka ngesikhathi sokusebenza: Kusetshenziswa isakhiwo esinezingqimba ezintathu: i-classifier ihlola ngesikhathi sangempela ngaphambi kwesenzo ngasinye; i-sandbox evulekile ihlukanisa indawo yokusebenza; ukuhlolwa okuzimele kobungozi kwenziwa ngaphambi kokuhlanganiswa kwekhodi. Lokhu kwakha ukuvikeleka okubili kokuthi “ukuqondanisa ezingeni lemodeli + ukuvinjwa ezingeni lesistimu”.
Ukuxhumanisa ikhono nezivikelo: Lapho kutholwa imisebenzi efana nokuhlasela kwenethiwekhi noma ubungozi bezinto eziphilayo, isicelo sehliselwa ngokusobala kumodeli ekhethekile, njenge-Opus 4.8 yokuphepha kwenethiwekhi. Ezindaweni ezinobungozi obukhulu, izinhlangano zokuhlola ezineziqinisekiso zivunyelwa ngokukhethekile; ngokuzenzakalela imikhawulo iyaqiniswa, bese ivulwa ngokwesidingo.

Ukusetshenziswa ngqo kuwebhu noma kuhlelo lokusebenza: Ngena ku-Claude noma kuhlelo lwe-Claude lwedeskithophu noma lweselula, bese ubhalisela uhlelo lwe-Pro, Max, Team noma Enterprise ukuze ukhethe i-Opus 5.5 kusikhethi samamodeli.
Ukusebenzisa i-API: Dala i-API Key kukhonsoli ye-Claude Platform, faka i-ID yemodeli ethi claude-opus-5-5, bese uyibiza nge-Anthropic SDK noma ngesixhumi esibonakalayo se-REST. Izindleko ngu-$4 kokokufaka kanye no-$20 kokokukhipha kuma-token ayisigidi.
Ukusebenzisa ku-Claude Code: Ngemva kokufaka i-Claude Code, khetha i-Opus 5.5 njengemodeli kutheminali noma ku-plugin ye-VS Code, efanele ukuhlela nemisebenzi yama-agent.
Ukukhetha izinga lokucabanga: Sebenzisa ipharamitha ye-effort (low/med/high/xhigh/max) ukulawula ukujula kokucabanga. Imisebenzi yansuku zonke ingasebenzisa izinga eliphakathi elizenzakalelayo; imisebenzi eyinkimbinkimbi ingakhushulelwa phezulu ukuze kugwenywe ukusetshenziswa kwama-token okungenasidingo.
Ukuvula imodi ye-Fast lapho kudingeka: Ezimo ezizwela ukubambezeleka, njengokuhlela okusebenzisanayo, vula imodi ye-Fast ku-Claude Code naku-Platform ukuze isivinini sikhuphuke izikhathi ezingu-2.5. Intengo iba kabili, ibe ngu-$8/$40.
Ukuxhuma ngezinkundla zamafu: Abasebenzisi bezinkampani bangayibiza ngqo ku-AWS Bedrock, Google Cloud Vertex AI noma Microsoft Azure Foundry, ngaphandle kokwakha ungqimba lokuxhuma ngokwabo.
Ukucela izimvume ezikhethekile: Izinhlangano ezenza ucwaningo lwesayensi yezempilo zingafaka isicelo ku-Life Sciences Verification Program, kanti ochwepheshe bezokuphepha kwenethiwekhi bangafaka isicelo ku-Cyber Verification Program. Ngemva kokuhlolwa, bavulelwa amakhono aphelele emikhakheni efanele.

Ikhono lokuhlela lihamba phambili kakhulu: I-Terminal-Bench 4.0 ifinyelela ku-66.4%, idlule i-GPT-6 Astra ngamaphesenti angu-8.5, futhi ikwazi ukuhambisa imigqa yekhodi engu-680,000 ngosuku olulodwa.
Izindleko zehle kakhulu: Amanani okufaka nokukhipha ehle ngo-20%, ukufundwa kwe-cache kwehle ngo-60%, kanti izindleko eziphelele zemisebenzi evamile ziphansi ngo-40% kune-Opus 5.
Iyashesha: Isivinini sokukhipha sikhuphuke ngaphezu kuka-30%, kanti imodi ye-Fast ingafinyelela isivinini esiphindwe ngo-2.5.
Ukuxhumana kuthuthuke kakhulu: Ukubeka iziphetho kuqala nokunciphisa ulimi lobuchwepheshe olungacacile kuye kwaxazulula “inkinga yokukhuluma kakhulu” okwakugxekwa ngayo kakhulu i-Opus 5, kwenza ukusebenzisana isikhathi eside kusebenze kahle.
Umsebenzi wolwazi uthembekile: I-GDPval-AA v2.1 ifinyelela ku-1846 Elo; ayiqambi izinombolo emibikweni yezimali futhi ithola amaphutha afihlekile emiyalweni yokuhlola.
Umlando wokuphepha ungcono kakhulu: Ithole amaphuzu aphezulu kunawo wonke emlandweni ekuhlolweni kokuziphatha okuzenzakalelayo, imizamo yokweqa izivikelo yehle ngo-85% uma iqhathaniswa nesizukulwane esidlule, kanti ukumelana nokujovwa kwemiyalo kulingana nokwe-Fable 5.1.
Ukuvikeleka kwezinkampani kuphelele: Ukuhlolwa ngaphambi kwezenzo, i-sandbox evulekile nokuskena ubungozi ngaphambi kokuhlanganiswa kwekhodi kusekela ukusebenza isikhathi eside ngaphandle kokuqondiswa umuntu.
Inani layo lidlula izimbangi: Izinga elizenzakalelayo lingalinganisa izinga eliphakeme kakhulu le-GPT-6 Astra, kanti izindleko zomsebenzi owodwa zingaba ingxenye yesihlanu kuya kwezingxenye ezimbili kwezinhlanu zezindleko zayo.

Iwebhusayithi yephrojekthi: https://www.anthropic.com/claude-opus-5-5

Ukuthuthwa nokuhlelwa kabusha kwekhodi ngezinga elikhulu: Iqeda ukuthuthwa kwemigqa yekhodi engu-680,000 ngosuku olulodwa, futhi ibhala kabusha i-HAProxy ukusuka ku-C kuya ku-Rust emahoreni angu-9.5, okuyenza ifanele ukwenziwa kwesimanje kwezinhlelo ezindala.
Ukuhlolwa kwekhodi nokuphepha: Ihlola futhi ilungise i-codebase enemigqa engu-200,000 emahoreni amathathu. Ngisho nasezingeni eliphansi lokucabanga, ibamba u-72% wama-Bug aziwayo, ngokuhlolwa kwe-Deloitte, futhi ifanele ukuhlolwa kwekhodi kwezinga lebhizinisi.
Ukuhlaziywa kwezezimali nocwaningo lokutshalwa kwezimali: Ingabhala imibiko yezimali esekelwe olwazini lwenethiwekhi ngaphandle kokuqamba idatha, yakhe amamodeli ezimali okuhlanganiswa nokuthengwa kwezinkampani, futhi ekuhlolweni kwe-Walleye Capital ithola amaphutha afihlekile emiyalweni.
Umsebenzi wolwazi nokubhala imibiko: Ihlanganisa imisebenzi yangempela yemisebenzi engu-44, futhi ngokubeka iziphetho kuqala nangokucacisa, ifanele izimo zemibhalo emide zokubonisana, ezomthetho nezocwaningo.
Ukuzenzakalela kwezinqubo zebhizinisi nokusebenza kwama-agent: Ingasebenza isikhathi eside ngaphandle kokuqondiswa umuntu ngaphakathi kwe-sandbox, iqede imisebenzi esebenzisa amasistimu amaningi, futhi ifanele ukuzenzakalela kwezinqubo zangemuva zamabhizinisi.