Claude vs GPT-6 vs Gemini vs DeepL don Fassarar Django (2026)

Claude, GPT-6, Gemini da DeepL duk za su iya fassara fayilolin .po na Django naka da kyau. Bambance-bambancen da suke da muhimmanci a watan Satumba 2026 su ne farashi, matakin samfurin da ka zaɓa, da kuma ko za ka iya tura mahallin aikinka tare. Wannan kwatancen ya ƙunshi samfuran yanzu daga kowane mai bayarwa, abin da benchmark ɗin fassara na WMT suka gano a zahiri, da kuɗin da fassara aikin Django na yau da kullum ke ci da kowanne.

Kowane samfuri a nan yana aiki da TranslateBot, ko dai ta hanyar LiteLLM ko ta hanyar mai bayarwa na DeepL da aka gina a ciki. Idan kana saita fassarorin Django a karon farko, cikakken jagorar localization na Django ya bayyana saitin kafin ka zaɓi mai bayarwa.

Bayani game da tushe: ba mu gudanar da namu benchmark a kan waɗannan sigogin samfuri ba. Iƙirarin inganci da ke ƙasa sun fito ne daga shared task na WMT da babban dataset ɗaya na masana'antu, dukansu da hanyoyin haɗi. Farashi sun fito ne daga shafin farashi na kowane mai sayarwa kamar yadda suke a ranar 26 ga Satumba, 2026.

Amsa a taƙaice

Tsoffin saitin TranslateBot shi ne gpt-6-luna, don haka aikin da bai zaɓi model ba yana amfani da zaɓi mai kyau mafi arha tuni.

Abin da benchmark ke cewa

Mafi tsauraran kimantawa na fassarar injin ita ce shared task na WMT na shekara-shekara. Ƙwararrun masu tantancewa suna ba da maki ga fitarwar kowane tsarin da aka gabatar, kuma sakamakon yana fitowa ne a matsayin rukunonin inganci maimakon jeri ɗaya na matsayi.

WMT24: Claude 3.5 Sonnet ya yi nasara

A cikin WMT24 General MT task, Claude 3.5 Sonnet shi ne mafi kyawun tsari gabaɗaya kuma ya yi nasara a nau'ikan harsuna 9 cikin 11. Wannan ne karo na farko da LLM na amfani na gama-gari ya doke kowane tsarin fassara na musamman a gasar.

WMT25: Gemini 2.5 Pro ya yi nasara

A WMT25, Gemini 2.5 Pro ya shiga rukunin sama a nau'ikan harsuna 14 cikin 16. Fassarorin ma'auni na ɗan adam sun shiga rukunin sama a nau'i 6 kawai cikin 15 da ke da su. Masu shirya gasar sun lura cewa wannan na iya nuna "the stylistic or lexical preferences of the annotators" (fifikon salo ko kalmomi na masu tantancewa), amma alkiblar a bayyane take: manyan LLM na zamani yanzu suna daidai da, ko sun zarce, fassarorin ma'auni na ƙwararrun mutane a waɗannan gwaje-gwajen.

WMT26: ba a wallafa ba tukuna

Za a gudanar da WMT26 a ranakun 28–29 ga Oktoba, 2026 a Budapest. Takardar sakamakon ba ta fito ba tukuna, kuma masu shiryawa ba sa wallafa matsayi na farko. Za mu sabunta wannan labarin idan ta fito.

Abin da bayanan aiki na zahiri ke cewa

Alconost ta wallafa kimantawar inganci 5,632 daga ayyukan abokan ciniki na gaske a cikin nau'ikan harsuna 85 a watan Mayu 2026. Ma'aunin ingancinsu ya ba Gemini 77.7, Claude 75.6, GPT 73.1 da DeepL 70.8. Suna ba da rahoton masu sayarwa ne kawai, ba sigogin samfuri ba, kuma sun ce yana bayyana samfurinsu ne maimakon zama benchmark na masana'antu. Ka ɗauki bambance-bambancen a matsayin ƙanana.

Inda LLM har yanzu ke gazawa

Harsunan da ke da ƙarancin albarkatu su ne raunin. A wani bincike, fassarar Turanci zuwa Khmer da LLM ya yi ta sami maki 39.10 a XCOMET idan aka kwatanta da 65.88 na Google Translate. Idan kana nufin Khmer, Lao ko Burmese, ka gwada a hankali kuma ka sa mai magana da harshen ya duba.

Makin atomatik ma na iya ɓatarwa. Wani yanki mai makin COMET na 0.86 ya zama yana ɗauke da babban kuskuren fahimta lokacin da ƙwararru suka duba shi. Benchmark wurin farawa ne, ba madadin mai karatu mai harshen ba.

Samfuran yanzu

Anthropic Claude

Tushe: Claude models overview.

Ƙarfin Claude koyaushe shi ne fassarorin da ake karantawa kamar an rubuta su a harshen da ake nufi, kuma yana bin ƙa'idojin salo da kalmomi da ke cikin fayil ɗin TRANSLATING.md sosai. Sonnet 5 ya fi arha a kowane token fiye da Sonnet 4.5 da ya maye gurbinsa, wanda ya sa shi ne wanda za a fara da shi.

OpenAI

Tushe: OpenAI API pricing.

Ba a tsara rufe gpt-4o-mini da gpt-4o ba, amma OpenAI tana dakatar da wasu snapshot na GPT-4o masu kwanan wata (gpt-4o-2024-05-13 zai tafi a ranar 23 ga Oktoba, 2026, bisa ga shafin deprecations). Idan ka kafa snapshot mai kwanan wata, ka duba wannan jerin.

Google Gemini

Tushe: Gemini models, Gemini pricing.

Gemini ya yi nasara a WMT25 kuma yana kan gaba a bayanan Alconost, don haka ya cancanci wuri a gajeren jerinka. Shi ne kuma kaɗai mai bayarwa a nan da ke da free tier mai ɗorewa: ana iya amfani da samfuran Flash biyu da ke sama kyauta, tare da iyakokin gudu, kuma Google na iya amfani da bayanan free tier don inganta kayayyakinta. Samfuran Gemini 2.5 yanzu a buɗe suke kawai ga ayyukan da suka riga suka yi amfani da su, don haka sababbin ayyuka su fara da 3.5 Flash-Lite ko 3.8 Flash.

DeepL

DeepL yanzu tana gudanar da samfurin LLM na sabon zamani ga dukkan harsunanta (model_type=quality_optimized a cikin API), kuma tana tallafa wa harsuna 100+.

Tsare-tsaren sun canza a 2026. Sababbin masu rajista suna samun tsarin Developer: kiredit na sau ɗaya na haruffa miliyan 1, ba haruffa 500,000 a kowane wata kamar da ba. Bayan haka, Growth yana kashe €23.80 a kowane wata ana biya a shekara, ya ƙunshi haruffa miliyan 12 a shekara, kuma yana cajin €22 a kowane ƙarin haruffa miliyan (farashin EU tare da VAT; duba DeepL API plans).

DeepL ta kuma ƙara ƙa'idojin salo, umarni na musamman da har zuwa glossary 5 a kowane buƙata. Waɗannan suna taimakawa, amma har yanzu sun fi iyakancewa fiye da fayil ɗin TRANSLATING.md, wanda zai iya bayyana samfurinka, masu sauraronka da kalmomin da ka fi so cikin harshe mai sauƙi.

Kwatance kai tsaye

Nawa aikin Django ke ci

Ɗauki aikin Django mai matsakaicin girma: string 500, kusan kalmomi 10,000, ana fassara su zuwa harsuna 5. Muna ɗauka kusan token 15,000 na input (string tare da prompt na TranslateBot) da token 20,000 na output a kowane harshe, saboda yawancin harsuna suna ɗaukar token fiye da Turanci.

Waɗannan lambobi ƙiyasi ne. Samfuran da ke tunani kafin su amsa, kamar Claude Opus 5.5, suna cajin wannan tunanin a matsayin token na output, don haka za su iya fin abin da tebur ya nuna tsada. Bayan gudu na farko, TranslateBot yana fassara sababbin string ko waɗanda aka canza kawai, don haka guduwar da ke biye yawanci ba ta wuce 'yan centi ba.

Wanne za a zaɓa

Fara da claude-sonnet-5 ko gpt-6-sol idan inganci yana da muhimmanci kuma ba ka damu da biyan kusan dala ɗaya a kowane cikakken gudu na aiki ba. Claude yana da tarihin benchmark mafi ƙarfi (Claude 3.5 Sonnet ya yi nasara a WMT24), ko da yake har yanzu babu sakamakon WMT na waɗannan takamaiman sigogi. Farashinsu ɗaya ne.

Yi amfani da gpt-6-luna don ayyukan gefe, kayan aikin cikin gida, ko daftarin farko da za ka duba ko ta yaya. A kusan centi shida don aikin misali, kuɗin kusan sifili ne.

Gwada Gemini idan kana fassara zuwa harsuna da yawa ko ba ka da kasafin kuɗi. Ya yi nasara a WMT25, ya sami maki mafi kyau a bayanan Alconost, kuma 3.5 Flash-Lite yana da arha a matakin biya kuma kyauta a free tier.

Yi amfani da DeepL idan kamfaninka yana da kwangilar DeepL tuni, ko kana son MT na musamman tare da glossary na asali. Ba tare da tsohon free tier na kowane wata ba, ba shi ne zaɓi na atomatik ba kuma ga ayyukan da ba su da kasafin kuɗi.

Haɗa masu bayarwa bisa harshe. Za ka iya amfani da samfuri ɗaya don harsunan Turai da wani don Japananci ko Koriyanci. Gudanar da umarnin translate sau ɗaya ga kowane mai bayarwa, kowane lokaci don harsunan da ake nufi daban-daban, kuma ka sauya TRANSLATEBOT_MODEL da TRANSLATEBOT_API_KEY tsakanin kowane gudu.

Yadda ake canza masu bayarwa a TranslateBot

Canza masu bayarwa yana nufin canza saituna biyu a cikin settings.py naka:

import os

# Claude Sonnet 5
TRANSLATEBOT_MODEL = "claude-sonnet-5"
TRANSLATEBOT_API_KEY = os.getenv("ANTHROPIC_API_KEY")

# GPT-6 Luna
TRANSLATEBOT_MODEL = "gpt-6-luna"
TRANSLATEBOT_API_KEY = os.getenv("OPENAI_API_KEY")

# Gemini 3.5 Flash-Lite
TRANSLATEBOT_MODEL = "gemini/gemini-3.5-flash-lite"
TRANSLATEBOT_API_KEY = os.getenv("GEMINI_API_KEY")

# DeepL
TRANSLATEBOT_PROVIDER = "deepl"
TRANSLATEBOT_API_KEY = os.getenv("DEEPL_API_KEY")

Don DeepL, kana kuma buƙatar extra na DeepL:

uv add --dev translatebot-django[deepl]

Don gwada wani samfuri daga mai bayarwa iri ɗaya a gudu ɗaya ba tare da canza saitunanka ba, yi amfani da --llm-model. Har yanzu ana amfani da TRANSLATEBOT_API_KEY, don haka dole samfurin ya dace da mai bayarwar maɓallinka:

python manage.py translate --target-lang ja --llm-model gpt-6-sol

Shawarwari masu amfani

Kwatanta a kan branch. --dry-run ba ya kiran samfurin, don haka don kwatanta ainihin fitarwa, sake fassarawa a kan branch na wucin gadi ka karanta diff ɗin:

git switch -c try-gpt-6-sol
python manage.py translate --target-lang nl --overwrite --llm-model gpt-6-sol
git diff -- '*.po'

Rubuta TRANSLATING.md kafin ka biya babban samfuri. Umarnin kalmomi da salo ("translate 'cart' as 'Warenkorb'", "use informal 'du' in German") sau da yawa suna gyara abin da ya yi kama da matsalar ingancin samfuri.

Sa mai magana da harshen ya duba samfurin rubutu. Benchmark suna auna matsakaici. Shafin checkout naka saitin string ne na musamman.

Ka lura da canjin farashin Gemini. Farashin Gemini 3.8 Flash zai ninka a ranar 1 ga Janairu, 2027. Har yanzu zai kasance mai arha don fassara, amma ka sabunta ƙiyasinka.

Kammalawa

Claude ya yi nasara a WMT24, Gemini ya yi nasara a WMT25, kuma a 2026 bambancin da ke tsakanin manyan masu bayarwa ƙarami ne. Ga yawancin ayyukan Django, zaɓin aiki shi ne tsakanin claude-sonnet-5 ko gpt-6-sol don inganci da gpt-6-luna don kuɗi, tare da Gemini a matsayin madadin mai ƙarfi kuma mafi kyawun zaɓi na kyauta. DeepL har yanzu yana da kyau, amma sababbin asusu ba sa samun free tier na kowane wata kuma. TranslateBot yana sa sauyawa tsakaninsu ya zama canjin saiti kawai.

Da zarar ka zaɓi mai bayarwa, sarrafa aikin fassarar Django naka ta atomatik domin sababbin string kada su sake taruwa.