Qwen vs DeepSeek: Iyiphi imodeli ye-AI ehumusha kangcono?

Dlulisa izingxenye zokuhumusha ezifanayo eziyi-12,000 ku-Qwen ne-DeepSeek, futhi i-DeepSeek inqoba iningi lamapheya ezilimi. Akuyona yonke indaba leyo. Hlukanisa imiphumela ngendlela, bese kuvela iphethini ethile: IQwen ivala ingxenye enkulu yegebe, futhi ngezinye izikhathi ihola phambili, ikakhulukazi uma ulimi oluhlosiwe kuyisiNgisi. Ukuhumushela ngaphandle kwesiNgisi kunoma yini enye, i-DeepSeek iwina cishe njalo.

Lokho kuhlukana kubaluleke kakhulu kunonqobi oyedwa jikelele uma uhumusha okuqukethwe ngezilimi eziningi kakhulu kunakumbhangqwana owodwa wezilimi. 

Yini i-Qwen ne-DeepSeek?

I-Qwen iwumndeni we-Alibaba wamamodeli wolimi amakhulu. Isizukulwane samanje yi-Qwen3.8, esikhishwe ngo-August 2026: I-Qwen3.8-Max iyi-flagship evaliwe, ye-API kuphela enamapharamitha ayi-2.4 trillion, kanti i-Qwen3.8-27B yimodeli encane, ye-open-weight ekhishwe ngaphansi kwe- Apache 2.0 ezinsukwini ezimbalwa ngemva kwalokho, ebhekiswe emaqenjini afuna ukuzi-self-host.

I-DeepSeek iyilabhorethri ye-AI yaseShayina eyaziwa ngamamodeli we-mixture-of-experts ahambisana nokusebenza okusezingeni eliphezulu ngengxenye encane yezindleko ze-inference. Isizukulwane sayo samanje, i-DeepSeek V4, sethulwa ngo-April 2026 ngezinhlobo ezimbili: V4 Pro (isamba samapharamitha amathriliyoni angu-1.6, cishe amabhiliyoni angu-49 asebenzayo ngethokhini ngayinye) yomsebenzi ogxile kwikhwalithi, kanye ne-V4 Flash (isamba samabhiliyoni angu-284, cishe amabhiliyoni angu-13 asebenzayo) yemithwalo yemisebenzi ezwela ukulibheka. Zombili zikhishwa njenge ma-open weights anelayisensi ye-MIT.

I-Qwen ne-DeepSeek ziqhathaniseka kanjani ngempela kwezokuhumusha, hhayi nje kuma-benchmark?

Ukuqhathanisa okuningi kwe-Qwen ne-DeepSeek kucaphuna ama-benchmark ezinjongo ezijwayelekile: ukubhala amakhodi, izibalo, nokucabanga. Akukho kulokho okulinganisa ikhwalithi yokuhumusha ngokuqondile, futhi ukusebenzisa imodeli ngayinye kumbhalo womthombo ohlukile kwenza ukuthi noma yiliphi igebe lokunemba lingakwazi ukuhlukaniswa kulokho umbhalo ngokwawo obukudinga.

I-traffic yokuhumusha yakwa-MachineTranslation.com uqobo ezinsukwini ezingu-28 ezidlule inikeza impendulo ecacile, ngoba womabili amamodeli ahumushe umbhalo womthombo ofanayo. Kuzo zonke izilimi ezibhanqiwe ezingu-98 kanye nezigaba ezifanayo ezingaphezu kwezi-12,000, i-DeepSeek ithole amaphuzu aphezulu ezilimini ezibhanqiwe ezingu-83; i-Qwen ithole amaphuzu aphezulu ezingu-15. Uma ukunciphisa lokho kube yizilimi ezibhanqiwe ezingu-27 lapho ulimi oluhloswe kulo kuyisiNgisi, igebe liyancipha kakhulu: I-DeepSeek iwina u-63% wazo (izingu-17 kwezingu-27), i-Qwen iwina u-37% (izingu-10 kwezingu-27). Kuzo zonke izilimi ezibhanqiwe ezingu-71 ezisele, lapho isiNgisi kungeyona ulimi oluhloswe kulo, i-DeepSeek iwina u-92% (izingu-66 kwezingu-71).

Izinga lokuwina ngokwendlela yokuhumusha (izilimi ezibhanqiwe ezingu-98, umbhalo ofanayo)

Isilinganiso esinesisindo sazo zonke izigaba ezifanisiwe sibeka i-DeepSeek ku-9.13 kwengu-10 kanti i-Qwen ku-8.98. Lelo ligebe langempela, kodwa alihlukaniswanga ngokulinganayo, okuyinto ewusizo kakhulu ukuyazi uma okuqukethwe kwakho kuhamba ngezindlela ezingaphezu kweyodwa. Lena yindlela efanayo yokubhekana ngqo esetshenziswa yi-MachineTranslation.com kukho konke ukuhlolwa kokuqhathanisa amamodeli okuphelele, hhayi nje kulo mbhangqwana owodwa kuphela.

Izinombolo ezihlanganisiwe ziyasebenza nasezimweni zokuhlola ngazinye futhi. Uma kuhlolwa umushwana wesiFulentshi othi "Elle est directrice adjointe du département commercial," i-DeepSeek ne-Qwen zivumelane ekuhumusheni okufanayo kwesiNgisi okuthi, "deputy director of commercial department". Ungahlola lowo mphumela wokuhlola obukhoma ngokuqondile. Uma kuhlolwa u-"as soon as possible" ehunyushelwe olimini lwesiSpanish, i-DeepSeek ihlukane nokuvumelana kwamamodeli amane ngokuthi "esté hecho" esikhundleni sika-"se haga" okuyisibonelo sokuhlukana kwangempela esibonisa umehluko wohlelo lolimi phakathi kwenqubo nomphumela, hhayi iphutha.

Kungani i-Qwen yenza kahle kakhulu ekuhumusheni esiNgisini ngokukhethekile?

Idatha ayichazi ukuthi kungani, kodwa ibonisa kuphela ukuthi kuphi. Ezinye zezilimi ezibhanqiwe ezine-Qwen enamandla kakhulu esiNgisini isiTamil, isiShayina, isiPolish, isiNtaliyane, nesiHebheru okuyizilimi zomthombo ezinedatha enkulu, ebhalwe phansi kahle yokuqeqesha yolimi lwesiNgisi etholakalayo kubakhi bamamodeli jikelele. Ngaphandle kwaleyo nkombandlela eyodwa, inzuzo ye-DeepSeek ibamba cishe kuyo yonke indawo: ukuhhumusha kusuka esiNgisini, kanye naphakathi kwamabili ezilimi okungezona isiNgisi ngokufanayo.

Lokhu okukhipha inyumbazane wukuthatha noma iyiphi imodeli njengeyona ejwayelekile emhlabeni jikelele. Ithimba elihumusha uhlu lwemikhiqizo kusuka olimini lwe-Spanish kuya ezilimini eziyisithupha futhi lilindele izinga elifanayo lokusebenza elilibone lihumusha ithikithi losizo lesi-Chinese liya esiNgisini lingabe lisebenzisa isifundo esingafanele esivela ohlangothini olungafanele okuwukungalingani okufanayo okuvela ekuhlungweni kwemodeli ye-Spanish-to-English ku-MachineTranslation.com , lapho amamodeli ahamba phambili kungeyona emifanayo nehamba phambili ohlangothini oluhlukile.

Ingabe i-Qwen ne-DeepSeek kumahhala futhi kungumthombo ovulekile?

Ukunikezwa kwelayisensi kuhlukene ngendlela eyahlukile kuleyo naleyo. I-DeepSeek inikeza ilayisensi yakho mbili i-V4 Pro ne-V4 Flash ngaphansi kwe-MIT, omunye wemigomo yomthombo ovulekile ovumela kakhulu okhona, ngakho-ke kokubili kukhululekile ukuzihlomela ngokwakho ngaphandle kwemingcele. I-Qwen ihlukene phakathi: I-Qwen3.8-27B iza ngaphansi kwe-Apache 2.0 futhi imahhala ukuzihlomela ngokwakho, kodwa emelela uhlobo i-Qwen3.8-Max isalokhu ivaliwe, ingeye-API kuphela, futhi ingaphansi kwelayisensi yangokwezifiso yakwa-Alibaba.

Ngokomsebenzi, lokho kusho ukuthi inketho ye-open-weight ngokugcwele, enelayisensi ye-MIT ikhona ohlangothini lwe-DeepSeek kuwo womabili amazinga ekhwalithi. Ohlangothini lwe-Qwen, ukukhetha i-open-weight kusho ukulahla imodeli emelela uhlobo.

Kubiza malini ukusebenzisa i-Qwen ne-DeepSeek ngezinga elikhulu?

Kulandela ukuncishiswa kwentengo unomphela kwe-DeepSeek ngoMeyi 2026, amanani ayo e-API ashicilelwe njengamanje ayi-$0.435 per million input tokens (cache miss) and $0.87 ngamathokheni emiphumela ayisigidi ngasinye ku-V4 Pro, kanti i-V4 Flash inenani eliphansi ezingeni layo elilungiselelwe i-latency.

Kulawo maqembu azihlomela wona noma iyiphi imodeli esikhundleni sokusebenzisa i-API ebanjiwe, ukuqhathaniswa kwezindleko kushintshela ngokuphelele kwingqalasizinda ye-GPU futhi kuba phakathi kwesibalo sama-parameter kanye nokusebenza kahle kwe-active-parameter kunenani lethokheni ngalinye.

Ingabe kukhona imodeli ephephe ngokwanele ukulungiselela okuqukethwe kwezomthetho, ezezempilo, noma okulawulwayo?

Akukho modeli eshicilela izitifiketi zokuphepha eziqondene nokuhumusha, futhi imingcele yokuphepha yenhloso ejwayelekile ayivivinyeli izindlela zokuhluleka ezibalulekile kokuqukethwe okulawulwayo: umthamo ohunyushwe kabi, isigatshana sesikweletu esishintshiwe, igama lomthetho elingaguquki. Ukuhlola kwe-MachineTranslation.com ngokwayo kutholile lolu hlobo lokuhlukana phakathi kwamamodeli olimini lwezomthetho nolwezokwelapha, kuhlanganise nezimo lapho amamodeli esebenzise amagama omthetho ahlukene anezihloko ezahlukene naphezu kokuthi womabili athole amaphuzu amahle kumamethrikhi ekhwalithi ejwayelekile.

Mayelana nezinkontileka, amadokhumenti okufika kwelinye izwe, noma okuqukethwe komtholampilo, leso yisizathu sokuhlanganisa umphumela wanoma iyiphi imodeli  nesinyathelo sokuqinisekisa somuntu kunokuba wethembe umphumela owodwa we-AI ngendlela ebonakala ngayo, kungakhathaliseki ukuthi iyiphi imodeli ewukhiqizile.

Kusho ukuthini lokhu uma uhlelela izilimi eziningi ngasikhathi sinye?

Ukuqhathanisa okwakhelwe phezu kokubili kwezilimi okubodwa akukutsheli lutho cishe mayelana nokubili kwezilimi okungunombolo yamashumi amane. Ukuhlukana kokuhumushela esiNgisini/kusuka esiNgisini okubhalwe lapha kubambe iqhaza kusampula lamabili ezilimi angama-98 ikakhulukazi ngoba kuhlolwe ngalelo zinga: ukuhlolwa okubodwa kwesiNgisi kuya olimini lwe-Spanish, okuwukuthi iningi lokuqhathanisa phakathi kwe-Qwen ne-DeepSeek elikwenzayo, bekuzokhombisa i-DeepSeek ngaphambili kamnandi futhi kungasho lutho mayelana nokuthi kwenzekani uma isi-Tamil, isi-Polish, noma isi-Hebrew sekuqala ukusetshenziswa.

Lowo ngumbono osebenzisekayo wokungavali uhlelo olukhulu lokulungiselela izilimi kumphumela wemodeli eyodwa njengokujwayelekile. I-MachineTranslation.com isebenzisa kokubili i-Qwen ne-DeepSeek, kanye namanye amamodeli angaphezu kwama-20, ekuhumusheni ngakunye futhi ikhombise inguqulo lawo mamodeli avumelana kakhulu ngayo, ngakho ukwethulwa kwezilimi ezingama-68 akuncikile ekutheni iyiphi imodeli eye yawina ekubilini kwezilimi okukodwa kokuqala okuhlolwe ngothile. Ungabona kahle ukuthi yimaphi amamodeli avumelanayo noma ahlukene kunoma yikuphi ukuhumusha okunikeziwe  ekuhlungweni kwemodeli yokuhumusha ngakunye  lapho inkundla ikhombisa khona imiphumela ngayinye.

Ukuhumusha ngakunye kuhlolwa ngokumelene nohlu olubanzi lwamamodeli kunalokho i-Qwen noma i-DeepSeek yodwa engakunikeza, okuwumphendulo oqondile walokho okwenzekayo uma okuqukethwe kwakho kuyeka ukuhamba ngasohlangothini olulodwa kuphela.

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