Qwen vs DeepSeek: Yiyiphi imodeli ye-AI eguqulela ngcono?

Gqithisa amacandelo oguqulelo afanayo angama-12,000 ku-Qwen no-DeepSeek, kwaye i-DeepSeek iphumelela kuninzi lwezibini zeelwimi. Ayisiyiyo yonke imbali leyo. Cazulula iziphumo ngokwendlela, kwaye kuvela ipatheni ethile: I-Qwen iyawuvala kakhulu umsantsa, kwaye ngamanye amaxesha iyakhokela, ngakumbi xa ulwimi ekuguqulelwa kulo isiNgesi. Xa uguqulela ukusuka esiNgesini usiya kulo naluphi na olunye ulwimi, i-DeepSeek iphumelela phantse ngalo lonke ixesha.

Oko kwahlulahlulwa kubaluleke kakhulu kunesiphumeleli esisodwa jikelele ukuba uguqulela umxholo kwiilwimi ezininzi ezahlukeneyo kunokuba uguqulele kwisibini esinye seelwimi. 

Yintoni i-Qwen ne-DeepSeek?

I-Qwen lusapho lweemodeli zeelwimi ezinkulu zakwa-Alibaba. Isizukulwana sangoku ngu-Qwen3.8, esikhutshwe ngo-Agasti 2026: I-Qwen3.8-Max yeyona modeli iphambili evaliweyo, esebenzisa i-API kuphela ene-2.4 yezitriliyoni yeeparameters, ngelixa i-Qwen3.8-27B iyimodeli encinci, ye-open-weight ekhutshwe phantsi kwe- Apache 2.0 emva kweentsuku ezimbalwa, ejolise kumaqela afuna ukuzisingatha ngokwawo.

I-DeepSeek lilabhoratri ye-AI yaseTshayina eyaziwayo ngeemodeli ze-mixture-of-experts ezihambelana nendlela yokusebenza ephambili ngenxalenye encinci yeendleko ze-inference. Isizukulwana sayo sangoku, i-DeepSeek V4, saphunyezwa ngo-Apreli 2026 ngeendlela ezimbini ezahlukeneyo: I-V4 Pro (i-1.6 yezitriliyoni zeeparameters zizonke, malunga nama-49 weebhiliyoni ezisebenzayo ngethokhini nganye) yomsebenzi ojolise kumgangatho, kunye ne-V4 Flash (ama-284 weebhiliyoni zizonke, malunga ne-13 yeebhiliyoni ezisebenzayo) yemisebenzi enovakalelo kwi-latency. Zomibini zikhutshwa njenge- ii-open weights ezinelayisenisi ye-MIT.

Ingaba i-Qwen ne-DeepSeek zithelekiseka njani ngokwenene kuguqulelo, kungekhona nje kwiibhenchmaki?

Uninzi lothelekiso phakathi kwe-Qwen ne-DeepSeek lucaphula iibhenchmaki zenjongo jikelele: ukubhala ikhowudi, imathematika, nokuqiqa. Akukho nanye kwezo elinganisa umgangatho woguqulelo ngokungqalileyo, kwaye ukusebenzisa imodeli nganye kwisicatshulwa somthombo esahlukileyo kwenza ukuba kungenzeki ukwahlula nakuphi na ukungafani kokuchaneka koko bekufunwa sisicatshulwa ngokwaso.

I-traffic yoguqulelo ye-MachineTranslation.com uqobo lwayo kwiintsuku ezingama-28 ezidlulileyo inika impendulo ecace ngakumbi, ngenxa yokuba zombini iimodeli zeguqule isicatshulwa somthombo esifanayo ncam. Kwiipere zeelwimi ezingama-98 nakumacandelo ahambelanayo angaphezu kwama-12,000, i-DeepSeek ifumane amanqaku aphezulu kwiipere ezingama-83; i-Qwen ifumane amanqaku aphezulu kwi-15. Ukuba ukunciphisa oko kwiipere ezingama-27 apho ulwimi ekujoliswe kulo ikwisiNgesi, umsantsa uyancipha kakhulu: I-DeepSeek iphumelele ama-63% azo (ama-17 kwama-27), i-Qwen iphumelele ama-37% (ama-10 kwama-27). Kwiipere ezingama-71 eziseleyo, apho isiNgesi kungeyoyo ulwimi ekujoliswe kulo, i-DeepSeek iphumelele ama-92% (ama-66 kwama-71).

Ireyithi yokuphumelela ngokwendlela yoguqulelo (iipere zeelwimi ezingama-98, isicatshulwa esifanayo ncam)

I-avareji elungelelanisiweyo kuwo wonke amacandelo ahambelanayo ibeka i-DeepSeek kwi-9.13 kwishumi kwaye i-Qwen kwi-8.98. Lowo ngumsantsa wokwenene, kodwa awukho malunga ngokulinganayo, nto leyo ekuluncedo ngakumbi ukuyazi ukuba umxholo wakho uhamba ngendlela engaphezulu kweyone. Le yindlela efanayo yokujongana ngqo esetyenziswa yi-MachineTranslation.com kulo lonke uvavanyo lwayo lokuthelekisa imodeli epheleleyo, hayi kuphela kule pere inye.

Amanani ewonke asasebenza nakwiimeko zovavanyo zomntu ngamnye, ngokunjalo. Ukuvavanya ibinzana lesiFrentshi "Elle est directrice adjointe du département commercial," i-DeepSeek ne-Qwen zidibene kuguqulelo olufanayo lwesiNgesi, "deputy director of commercial department". Unokujonga eso siphumo sovavanyo lwangoku ngokungqalileyo. Ukuvavanya "as soon as possible" eguqulelwe kwisiSpanish, i-DeepSeek yaphambuka kwimvumelwano yeemodeli ezine ngo-"esté hecho" endaweni ka-"se haga" nto leyo eyi- imeko yokutenxa yokwenene ebonisa umahluko wegrama wenkqubo-malunga-nesiphumo, hayi impazamo.

Kutheni i-Qwen isenza ngcono kakhulu xa iguqulela kwisiNgesi ngokungqalileyo?

Idatha ayicacisi ukuba kutheni, icacisa kuphela ukuba phi. Ezinye zeepere eziqinileyo ze-Qwen eziguqulela kwisiNgesi zezi: isiTamil, isiTshayina, isiPolish, isiTaliyane, nesiHebhere okuziilwimi zomthombo ezinee-corpora ezinkulu zoqeqesho zolwimi lwesiNgesi ezibhalwe kakuhle ezifumanekayo kubakhi beemodeli ngokubanzi. Ngaphandle kwelo cala linye, inzuzo ye-DeepSeek ibonakala phantse kuyo yonke indawo: ukusuka kwisiNgesi, kunye naphakathi kweelwimi ezingesiso isiNgesi sawa.

Oku kukhupha ngaphandle ukuthatha nokuba yeyiphi imodeli njengegqibeleleyo kuko konke. Iqela eliguqulela uluhlu lwemveliso ukusuka kwisiSba ngezilwimi ezintandathu kwaye lilindele amazinga okusebenza afanayo nalawo liwabone kuguqulelo lwetikiti lenkxaso lesiTshayina lisiya kwisiNgesi, liyakuba lisebenzisa isifundo esiphosakeleyo kwicala eliphosakeleyo nto leyo ikwalungqinelana nokungalingani okubonakala ku-MachineTranslation.com ulwahlulo lwemodeli yeSpanish-to-English, apho iimodeli ezikhokelayo ingezizo ezifanayo nezikhokelayo kwicala elichaseneyo.

Ingaba i-Qwen ne-DeepSeek zisimahla kwaye zivulelekile kuye wonke ubani (open-source)?

Ukhuphelo lweempepha-mvume lwahlukile kuleyo naleyo. I-DeepSeek inika ilayisenisi ye-V4 Pro kunye ne-V4 Flash phantsi kwe-MIT, enye yeemeko ezivumeleke kakhulu ze-open-source ezikhoyo, ngoko ke zombini zikhululekile ukuba zisingathwe ngaphandle kwesithintelo. I-Qwen yahlulwe kubini: I-Qwen3.8-27B iza phantsi kwe-Apache 2.0 kwaye isimahla ukuba ingazisingatha, kodwa eyona iphambili i-Qwen3.8-Max ihlala ivaliwe, isetyenziswa nge-API kuphela, kwaye iphantsi kwelayisenisi ye-Alibaba eyenzelwe yona.

Ngokusebenzisekayo, oko kuthetha ukuba kukho ukhetho oluvuleleke ngokupheleleyo lwee-weights (open-weight), nolunelayisenisi ye-MIT kwicala le-DeepSeek kuzo zombini iindidi zomgangatho. Kwicala le-Qwen, ukukhetha i-open-weight kuthetha ukuncama imodeli ephambili.

Yimalini i-Qwen ne-DeepSeek ukuzisebenzisa ngomlinganiselo omkhulu?

Ukulandela ukuthotywa kwexabiso okusisigxina kwe-DeepSeek ngoCanzibe we-2026, amaxabiso ayo e-API ashicilelweyo ngoku azii-$0.435 per million input tokens (cache miss) and $0.87 ngesigidi seetokhini eziphumayo ze-V4 Pro, ngelixa i-V4 Flash inexabiso eliphantsi kwinqanaba layo elilungiselelwe ukusebenza ngokukhawuleza (latency-optimized).

Kumaqela azisingathela nokuba yeyiphi na imodeli endaweni yokusebenzisa i-API esingathiweyo, uthelekiso lweendleko luguqukela ngokupheleleyo kwisiseko se-GPU kwaye luba sisiphumo senani le-parameter kunye nokusebenza kakuhle kwee-active-parameter endaweni yexabiso lekhadi le-token nganye.

Ingaba ikhona imodeli ekhuselekileyo ngokwaneleyo ukuba ingasetyenziswa kwiitshati zomthetho, ezonyango, okanye ezilawulwayo?

Akukho modeli ipapasha iziqinisekiso zokhuseleko ezikhethekileyo kuguqulelo, kwaye imigangatho yokhuseleko jikelele ayizivavanyi iindlela zokusilela ezibalulekileyo kumxholo olawulwayo: idosi eguqulelwe ngendlela engeyiyo, isolotya loxanduva olutshintshileyo, okanye igama lomthetho elingaguquguqukiyo. Uvavanyo lwe-MachineTranslation.com lufumene kanye olu hlobo lohluko phakathi kweemodeli kwiilwimi zomthetho nezonyango, kubandakanywa iimeko apho iimodeli zisebenzise amagama omthetho ahlukileyo anemigangatho eyahlukeneyo nangona zombini zifumene amanqaku amahle kwimigangatho jikelele yomgangatho.

Kwizivumelwano, amaxwebhu abafudukeli, okanye umxholo wezonyango, yiyo loo nto kufuneka ukuhlanganisa isiphumo sayo nayiphi na imodeli kunye nenyathelo lovavanyo lomntu kunokuba uthembele kwisiphumo se-AI enye kuphela, nokuba yeyiphi imodeli eyivelisileyo.

Kuthetha ntoni oku ukuba uququzelela ulwimi ngezilwimi ezininzi ngaxeshanye?

Uthelekiso olwakhelwe kwisibini seelwimi esinye alukuxeleli phantse nto malunga nesibini seelwimi esingunombolo amashumi amane. Ulwahlulo lokuya kwisiNgesi/ukuphuma kwisiNgesi olubhalwe apha lubonakele kwisampulu yezibini zeelwimi eziyi-98 ngenxa yokuba lwavavanywa kuloo mlinganiselo: uvavanyo olunye lwesiNgesi ukuya kwisiSba, nto leyo iluvavanyo olwenziwa kakhulu phakathi kwe-Qwen vs DeepSeek, ngesele lubonise i-DeepSeek iphambi kakhulu kwaye lungatshongo nto malunga noko kwenzekayo nje ukuba i-Tamil, i-Polish, okanye i-Hebrew zingenile kwinkqubo.

Oko bubungqina obubonakalayo bokungabopheleli inkqubo enkulu yoguqulelo kwiilwimi zasekuhlaleni kwisiphumo semodeli enye kuphela ngokungagqibekanga. I-MachineTranslation.com isebenzisa zombini i-Qwen ne-DeepSeek, kunye nezinye iimodeli ezingaphezulu kwama-20, kuguqulelo ngalunye kwaye ibonisa uhlobo ekuvunyelwene ngalo kakhulu zezo modeli, ngoko ke isicwangciso seelwimi eziyi-68 asixhomekekanga kuyo nayiphi na imodeli eyenzeka ukuba iphumelele kwisibini seelwimi esivavanywe kuqala ngumntu othile. Ungabona kanye ukuba zeziphi iimodeli eziye zavumelana okanye zahlukana kulo naluphi na uguqulelo olunikwe ku- ulwahlulo lwemodeli yoguqulelo ngalunye i-platform elubonisayo kwisiphumo ngasinye.

Uguqulelo ngalunye luyatshekishwa ngokuchasene neentlobo ngeentlobo zeemodeli ezininzi kunezo i-Qwen okanye i-DeepSeek zodwa ezinokuzinikeza, eyona mpendulo engqalileyo malunga noko kwenzekayo nje ukuba umxholo wakho uyeke ukuhamba kwicala elinye kuphela.

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