Emamodeli lamatsatfu laphambili ngemaviki lasihlanu: DeepSeek V4, GPT-5.5 na-Claude Opus 4.8

Entfwasahlobo wa-2026, tinkampani letintsatfu tikhiphe emamodeli ato lanemandla kakhulu ngekhatsi kwemaviki lasihlanu kuphela: OpenAI ikhiphe GPT-5.5 mhla tingu-23 Mabasa, DeepSeek yalandzela nge-DeepSeek V4 mhla tingu-24 Mabasa, bese kutsi Anthropic yaletsa Claude Opus 4.8 mhla tingu-28 iNkhwekhweti. Onkhe lamatsatfu ancintisana enkundleni yinye — kubhala ikhodi, ema-ejenti lativumelako, kanye nemsebenti welwati — kodvwa ngemibono lemitsatfu lehlukene: levulekile futsi lengabiti kakhulu, levaliwe futsi lenemandla ekucabangeni, noma levaliwe futsi letsembekile emisebentini lemidze. Lomhlahlandlela lowusebentako ucatsanisa lamamodeli ngetinombolo letisemtsetfweni, hhayi ngetiswebhu.

Inothi ngendlela lesetjentisiwe: kucatsanisa ema-benchmark etinkampani letehlukene kuhlala kungukucagela nje, ngobe umhlinzeki ngamunye usebentisa indlela yekuhlola lehlukile kanye nelihlelo le-benchmark lelehlukile (sibonelo, Terminal-Bench 2.0 uma kucatsaniswa na-2.1), ngako-ke imehluko lemincane akufanele iholele etiphetfweni leticiniselekile. Ngentasi sigcila etinombolweni letingacatsaniswa ngempela, letibutsiwe kuticondziso letisemtsetfweni nakubalandzeli be-benchmark labatimele.

Lithebula lekucatsanisa ngekushesha

LokucatsaniswakoDeepSeek V4GPT-5.5Claude Opus 4.8
UmentiDeepSeekOpenAIAnthropic
Lusuku lwekukhishwa24 Mabasa 202623 Mabasa 202628 iNkhwekhweti 2026
LilayisensiOpen-weight (MIT)LevaliweLevaliwe
Liwindi lekucondza1M wema-token~1M wema-token1M wema-token
Linani nge-1M wema-token (lokufakwako/lokuphumako)Flash: $0,14/$0,28 — Pro: $0,435/$0,87$5/$30$5/$25
SWE-Bench Pro (kubhala ikhodi kwemhlaba wangempela)—58,6%69,2%
OSWorld-Verified (kusebentisa ikhompyutha)—78,7%83,4%
GPQA Diamond (kucabanga kwesayensi)90,1%93,6%—
Emandla lamakhuluKuvuleka netindlekoKucabanga nekusebenta kahleKubhala ikhodi nemisebenti lemidze

DeepSeek V4 — imbangi levulekile lelandzela emamodeli lavaliwe

DeepSeek ikhiphe tinhlobo letimbili letakhiwe ngendlela ye-Mixture-of-Experts (MoE): V4-Pro lenemapharamitha langu-1,6 trillion sewonkhe (langu-49 billion lasebentako nge-token ngayinye), kanye ne-V4-Flash lenalangu-284 billion sewonkhe nalangu-13 billion lasebentako — lokukhetsa lokusheshako nalokongako. Tombili tisekela liwindi lekucondza lema-token langu-1 million, kuphuma kwema-token lafika ku-384K, tindlela letimbili tekusebenta (ngekucabanga / ngaphandle kwekucabanga), kanye nendlela lensha ye-attention (DeepSeek Sparse Attention) lenciphisa tindleko tekubala kumongo lomudze.

Inzuzo yawo lenkhulu kutsi ngewe-open-weight ngaphansi kwelayisensi ye-MIT: ungawudawuniloda uwusebentise kumaseva akho ngaphandle kwekutfumela imininingwane yakho kumuntfu wesitsatfu — lokubalulekile kunoma nguyiphi inhlangano lenakekela bumfihlo bemininingwane ngaphansi kweMtsetfo Wekuvikela Imininingwane Yemuntu (PDPL) wase-Saudi Arabia. DeepSeek iwuchaza njengemodeli lehamba embili ye-open-source ekubhaleni ikhodi ngema-ejenti, lesalela emuva kwa-Gemini 3.1 Pro kuphela emkhatsini wemamodeli ngekwelwati lwemhlaba.

GPT-5.5 — kucabanga kwesayensi nekusebenta kahle

OpenAI iwubita ngekutsi umodeli wayo lohlakaniphe kakhulu kute kube manje, logcile emisebentini lemidze yema-ejenti: kubhala ikhodi, kusebentisa ikhompyutha, nekushintja emkhatsini wemathuluzi kuze umsebenti uphele. Usekela liwindi lekucondza lelicishe libe tigidi letinye tema-token, kuphuma kwema-token lafika ku-128K, kufakwa kwemibhalo netitfombe, futsi lwati lwawo luphela ngeNgongoni 2025. OpenAI itsi unika bukhalakhali besimanje ngetindleko letiyingcenye yemamodeli laphambili ekhodi labangisi ku-Coding Index ya-Artificial Analysis, futsi usebentisa ema-token lambalwa kute uphetse umsebenti lofanako — ngekwengetwa kwelinani kumongo lodlula ema-token langu-272K.

Claude Opus 4.8 — bunjiniyela besoftware bemhlaba wangempela nemisebenti lemidze

Opus 4.8 ngumodeli wa-Anthropic lonemandla kakhulu esigabeni se-Opus (ngetulu kwawo kunaClaude Fable 5 lobita kakhulu, wemisebenti lelukhuni kakhulu). Uvelele ngekutimela lokuphakeme emisebentini yesikhatsi lesidze nangelizinga lekwahlulela: ubuta imibuto lefanele, ubona emaphutsa akhe, futsi uyaphikisa uma lusu lungakaciniseki. Usekela liwindi lekucondza lema-token langu-1 million ngelinani lelijwayelekile ngaphandle kwemali lengetiwe yemongo lomudze, kanye nekuphuma kwema-token lafika ku-128K. Ngekusho kwalomunye wabalingani bekuhlola locashunwe kusayithi ya-Anthropic, Opus 4.8 bekungiwo kuphela umodeli lophetse onkhe emacala e-benchmark ye-Super-Agent kusukela ekucaleni kuya ekugcineni, wehlula GPT-5.5 ngetindleko letilinganako.

Emanani: umehluko locace kakhulu emkhatsini walamatsatfu

Linani ngetigidi letinye tema-token (lokufakwako/lokuphumako), kusuka emithonjeni lesemtsetfweni:

  • DeepSeek V4-Flash: $0,14 lokufakwako / $0,28 lokuphumako — lotsengeka kancane kakhulu kunawo onkhe (lokufakwako kwehlela ku-$0,0028 uma kutfolakala ku-cache). Luhlobo lwe-Pro: $0,435 lokufakwako / $0,87 lokuphumako.
  • Claude Opus 4.8: $5 lokufakwako / $25 lokuphumako — liwindi le-1M lema-token ngelinani lelijwayelekile ngaphandle kwemali lengetiwe.
  • GPT-5.5: $5 lokufakwako / $30 lokuphumako — linani lelifanako lalokufakwako njenga-Opus kodvwa lokuphumako kubita kakhulu, futsi linani liphindvwa kabili kumongo lodlula ema-token langu-272K.
  • Kute ucatsanise: Claude Fable 5 (sigaba lesiphezulu sa-Anthropic) ngu-$10 lokufakwako / $50 lokuphumako.

Siphetfo ngemanani: GPT-5.5 na-Opus 4.8 bayalingana ngelinani lalokufakwako, futsi Opus utsengeka kancane kulokuphumako. DeepSeek utsengeka kancane cishe ngeku-10x kuya ku-35x — futsi uma uwusingatsa wena ngekwakho, tindleko takhe letengetiwe tisondzela ku-zero.

Kusebenta: ngubani lohamba embili, futsi kuphi?

Lapho kunetinombolo letingacatsaniswa ngempela (lizinga lemphumelelo, lokuphakeme kuncono):

  • Tinkinga temhlaba wangempela ku-GitHub (SWE-Bench Pro): Opus 4.8 uhamba embili nga-69,2% uma kucatsaniswa na-58,6% wa-GPT-5.5 — inzuzo lecacile ya-Claude ebunjiniyeleni besoftware bangempela.
  • Kusebentisa ikhompyutha (OSWorld-Verified): Opus 4.8 ufika ku-83,4% uma kucatsaniswa na-78,7% wa-GPT-5.5.
  • Kucabanga kwesayensi (GPQA Diamond, imibuto yelizinga le-PhD): GPT-5.5 uhamba embili nga-93,6%, kantsi DeepSeek V4-Pro usedvute emuva nga-90,1% — inombolo lemangalisako kumodeli levulekile.
  • Kubhala ikhodi ku-terminal (Terminal-Bench): GPT-5.5 utfola 82,7% (lihlelo 2.0) kantsi Opus 4.8 utfola 74,6% (lihlelo 2.1) — emahlelo ehlukile, ngako-ke tinombolo atikwati kucatsaniswa ngco.

Ngamafusha: GPT-5.5 unemandla kakhulu ekucabangeni kwesayensi nasekusebenteni kahle, Opus 4.8 ekubhaleni ikhodi kwemhlaba wangempela nasemisebentini lemidze letsembekile, kantsi DeepSeek V4 etindlekweni nasekuvulekeni, nekusebenta lokusedvute nalokwemamodeli lavaliwe.

Nga-2026 akukho "modeli lencono kakhulu" ngalokuphelele — kukhona kuphela umodeli lofanele kakhulu umsebenti wakho, sabelomali sakho kanye nekuvelela kwemininingwane yakho.

Ngumuphi lokufanele uwukhetse?

  • Imininingwane lebucayi, sabelomali lesincane, noma sifiso sekulawula ngalokuphelele? → DeepSeek V4: wusebentise kumaseva akho, noma usebentise i-API yawo lengabiti kakhulu.
  • Kubhala ikhodi lokungatsi shu, ema-ejenti lasebenta emahora, noma imisebenti ledinga kwetsembeka kumongo lomudze? → Claude Opus 4.8.
  • Lucwaningo lwesayensi, kuhlatiya lokuyinkimbinkimbi, noma imisebenti ye-terminal legcile ekusebenteni kahle? → GPT-5.5.
  • Umkhicito lomkhulu losetjentiswa ngempela? Kala onkhe lamatsatfu kucala ngemisebenti yakho yangempela; tinombolo letishicilelwe atisho kutsi tikhombisa simo sakho lesitsite.

Indlela Origami lesita ngayo

Ku-Origami sakha isoftware lelungiselelwe wena kanye nemasistimu e-AI, futsi sikhetsa umodeli ngekuya ngemsebenti wakho, hhayi ngekuya ngalokusematfwini: umodeli levulekile lowusingatsa wena ngekwakho uma bumfihlo netindleko kubalulekile, noma umodeli levaliwe lohamba embili uma umsebenti udinga emandla laphakeme kakhulu langenteka. Inhloso kutfola umphumela lofanele ngetindleko letincono — hhayi kukhokhela libito lelicwebezelako.

Imithombo

Tinombolo tekucatsanisa kusebenta tibutsiwe kuticondziso letisemtsetfweni letingenhla nakubalandzeli be-benchmark labatimele labasesidlangalaleni; kucatsanisa emkhatsini wetindlela tekuhlola letehlukene kuhlala kungukucagela.