Madadin Anthropic: Zaɓuɓɓuka Mafi Kyawu vs ShareAI

An Sabunta Fabrairu 2026

Idan kuna kwatanta madadin Anthropic—ko bincika masu fafatawa da Anthropic—wannan jagorar yana bayyana zabinku kamar injiniya, ba talla ba. Za mu fayyace abin da Anthropic ke rufe, mu bayyana inda masu tara bayanai suka dace, sannan mu kwatanta mafi kyawun madadin—muna sanya ShareAI na farko ga ƙungiyoyin da ke son API ɗaya a fadin masu samarwa da yawa, bayanan kasuwa masu gaskiya, hanyar wayo/failover, da gaske lura, kuma tattalin arzikin da mutane ke sarrafawa inda lokacin “mutuwa” na GPU/server mara amfani ke samun biyan kuɗi maimakon ɓata.

Yi tsammanin kwatancen aiki, tsarin TCO, jagorar sauyawa, da hanyoyin haɗi masu sauri don ku iya aikawa da sauri.

Menene Anthropic?

Anthropic (wanda aka kafa a 2021) kamfani ne na AI da ya mai da hankali kan tsaro, amincin aiki, da daidaituwa. Babban samfurinsa Claude family (misali, Claude 3 & 4 iri-iri) yana ba da damar amfani da kasuwanci da masu amfani da fasaloli kamar LLMs masu babban mahallin, shigarwa na multimodal, taimakon lamba, da hanyoyin daidaitawa na “Constitutional AI”. Anthropic yana siyarwa kai tsaye ta API ɗinsa da shirye-shiryen kasuwanci (misali, tayin ƙungiya/gwamnati) kuma yana haɗin gwiwa tare da manyan girgije da dandamali. Ba kasuwa ce mai zaman kanta ba, mai samarwa da yawa—zaɓi Anthropic musamman idan kuna son Claude musamman.

Me yasa ƙungiyoyi ba sa yawan daidaitawa kan mai samarwa ɗaya

Ingancin samfur, farashi, da jinkiri suna canzawa da lokaci. Ayyuka daban-daban suna son samfura daban-daban. Aikin amincin aiki—maɓalli, rajista, sake gwadawa, sarrafa farashi, da failover—yana yanke shawarar ainihin lokacin aiki da TCO. Wani matakin mai samarwa da yawa tare da iko mai ƙarfi da lura yana tsira a samarwa.

Masu tara bayanai vs ƙofofi vs dandamali na wakilai

• Masu haɗawa na LLM: API ɗaya a fadin samfura/masu samarwa da yawa tare da hanyar wayo/failover da gani kafin hanya (farashi/jinkiri/lokacin aiki/samun dama).
• Ƙofofin AI: mulki/manufa/tsare-tsare/tsaro a gefen; kawo masu samarwa naka.
• Dandamali/tsarin chatbot: UX na tattaunawa da aka shirya, ƙwaƙwalwa, kayan aiki, da tashoshi; ba mai mai da hankali kan haɗa mai samarwa mara tsari ba.

Tsarin gama gari: gudanar da ƙofa don manufofin ƙungiya gaba ɗaya da mai tara bayanai don hanyar kasuwa mai gaskiya. Yi amfani da kayan aiki da ya dace don kowane mataki.

#1 — ShareAI (People-Powered AI API): mafi kyawun madadin Anthropic

Menene shi: API mai samarwa da yawa tare da kasuwa mai gaskiya da hanyar wayo. Tare da haɗin kai ɗaya, zaku iya bincika babban kundin samfura da masu samarwa, kwatanta farashi, samun dama, jinkiri, lokacin aiki, nau'in mai samarwa, da hanya tare da failover nan take.

Me yasa ShareAI ya fice:

• Bayyanar kasuwa: zaɓi masu samarwa ta farashi, jinkiri, lokacin aiki, samuwa, da nau'i—kafin ka tsara hanya.
• Juriya ta tsohuwa: manufofin tsara hanya, lokutan ƙarewa, sake gwadawa, da saurin gyara kuskure.
• Kula da ingancin samarwa: rubutun tambaya/amsa, sawu, farashi da allon lura da jinkiri.
• Babu sake rubutawa, babu kullewa: API ɗaya don magana da yawancin samfura masu mallaka da buɗe ido.
• Tattalin arziki mai dogaro da mutane: ShareAI yana amfani da lokacin da ba a amfani da shi (“lokacin matattu”) na GPUs da sabobin, don haka masu samarwa suna samun kuɗi daga ƙarfin da zai kasance ba a amfani da shi—yana haɓaka wadatar da za a iya dogara da ita yayin inganta yanayin farashi.

Hanyoyin sauri: Duba Samfura · Bude Wurin Wasa · Ƙirƙiri Maɓallin API · API Reference (Farawa mai sauri) · Jagorar Mai Amfani · Saki · Zama Mai Bayarwa

Mafi kyawun madadin Anthropic (cikakken jerin)

OpenAI

Menene shi: kamfani na bincike da aiwatarwa (wanda aka kafa 2015) wanda ya mai da hankali kan AGI mai aminci, yana haɗa tushen ƙungiyar ba riba da ayyukan kasuwanci. Microsoft babban mai tallafawa ne; OpenAI yana ci gaba da zama mai zaman kansa a cikin shugabancin bincikensa.

Abin da suke bayarwa: samfuran aji na GPT ta API; mabukaci ChatGPT (kyauta da Plus); hoto (DALL·E 3) da bidiyo (Sora); magana (Whisper); APIs masu haɓaka (token-metered); da kayan aikin kamfanoni/agents kamar AgentKit (aiki na gani, masu haɗawa, kayan gwaji).

Inda ya dace: samfura masu inganci tare da tsarin yanayi mai faɗi/SDKs. Ciniki: mai bayarwa guda ɗaya; babu gaskiya na kasuwar masu bayarwa kafin hanya.

Mistral

Menene shi: wani kamfanin AI da ke Faransa wanda ya mai da hankali kan samfura masu inganci, buɗe samfura da kuma iyakar aiki. Suna mai da hankali kan sauƙin amfani da izini don aikace-aikacen kasuwanci.

Abin da suke bayarwa: buɗe da kuma karɓa LLMs (Mixtral MoE family), multimodal (Pixtral), coding (Devstral), audio (Vocstral), da kuma “Le Chat” da APIs na kamfanoni don masu taimako da wakilai masu daidaitawa.

Inda ya dace: inganci na farashi/latency, kyakkyawan ergonomics na masu haɓaka, da kuma buɗe hanya. Ciniki: har yanzu mai bayarwa guda ɗaya (babu gaskiya na kasuwar salon pre-route).

Eden AI

Menene shi: ƙofa guda zuwa samfura 100+ na AI a cikin nau'ikan (NLP, OCR, magana, fassara, hangen nesa, generative).

Abin da suke bayarwa: wurin API guda ɗaya, mai gina aikin ba tare da lambar ba/ƙananan lambar (aiki na sarkar), da kuma lura da amfani/ganewa a cikin masu bayarwa daban-daban.

Inda ya dace: samun dama guda ɗaya zuwa fasahohin AI da yawa. Ciniki: gabaɗaya mai sauƙi akan ma'auni na gaskiya, na kasuwar mai bayarwa kafin ka tura buƙatun.

BudeRouter

Menene shi: API guda ɗaya wanda ke haɗa samfura daga dakunan gwaje-gwaje da yawa (OpenAI, Anthropic, Mistral, Google, da buɗe-tushen), wanda aka kafa a 2023.

Abin da suke bayarwa: Fuskar da ya dace da OpenAI, biyan kuɗi mai haɗe, hanyar jigilar ƙasa mai sauri, da alamu na shahara/ayyuka; ƙaramin kuɗi akan farashin asali.

Inda ya dace: gwaji mai sauri da faɗi tare da mabuɗi ɗaya. Ciniki: mai sauƙi akan zurfin sarrafa kamfanoni da bayyanar kasuwar pre-route vs. ShareAI.

LiteLLM

Menene shi: SDK na Python mai buɗe tushen da wakili mai zaman kansa wanda ke magana da fuskar OpenAI zuwa masu samarwa 100+.

Abin da suke bayarwa: sake gwaji/fallbacks, iyakokin kasafin kuɗi da ƙimar farashi, daidaitaccen tsari na fitarwa, da maƙallan lura—don haka zaka iya canza samfura ba tare da canza lambar app ba.

Inda ya dace: sarrafa DIY da karɓa mai sauri a cikin ƙungiyoyin da injiniyoyi ke jagoranta. Ciniki: kai ne ke sarrafa wakili, daidaitawa, da lura; bayyanar kasuwa ba ta cikin iyaka.

Haɗa

Menene shi: dandamali don ɗaukar aiki, keɓancewa, da sarrafa mataimakan AI (wata “ƙungiyar aiki ta AI”) maimakon haɗa APIs kai tsaye.

Abin da suke bayarwa: hanyoyin aiki na wakili, compliance da fasalolin horo, kayan aikin kimantawa da ayyukan aiki, da haɓaka/automation na isar da saƙo ta amfani da samfura da yawa.

Inda ya dace: ayyukan wakili masu ra'ayi da zaɓi mai dogaro da kimantawa. Ciniki: ba mai haɗa kasuwa na farko ba; yana haɗuwa da layin jigilar kaya kamar ShareAI.

Portkey

Menene shi: ƙofar LLMOps mai bayar da kariya, mulki, lura, sarrafa tambaya, da fuska guda zuwa LLMs da yawa.

Abin da suke bayarwa: dashboards na ainihin lokaci, samun damar bisa ga matsayi, sarrafa kuɗi, caching mai hankali, da batching—an nufa don shirye-shiryen samarwa da SLAs.

Inda ya dace: manufofin matakin infra, mulki, da zurfin bin sawu. Ciniki: ba kasuwa mai tsaka-tsaki ba; sau da yawa yana haɗuwa da mai haɗa don zaɓin mai samarwa da failover.

Orq AI

Menene shi: dandamali mai haɗin kai mara lambar ko mai ƙarancin lamba don ƙungiyoyin software da samfuran don gina, gudanarwa, da inganta aikace-aikacen LLM tare da tsaro da bin doka.

Abin da suke bayarwa: tsarawa, sarrafa tambayoyi, kimantawa, sa ido, sake gwadawa/fallbacks, matakan kariya, da sarrafawa na SOC 2/GDPR; yana haɗuwa da LLMs fiye da 150+.

Inda ya dace: isar da fasalolin AI tare da haɗin kai a sikeli. Ciniki: ba mai da hankali kan hanyar jagorantar mai siyarwa ta kasuwa; yana cike da mai haɗawa kamar ShareAI.

Anthropic vs ShareAI vs wasu: gajeren kwatanci

Dandalin	Wa yake yi wa hidima	Fadada samfurin	Gudanarwa/Sa ido	Hanyar/Rashin nasara	Duba kasuwa
RabaAI	Ƙungiyoyin samfura/dandamali suna son API ɗaya + juriya; masu siyarwa suna biyan lokacin GPU/server mara aiki	Masu siyarwa/tsarukan da yawa	Cikakkun bayanai/tsarukan & allunan farashi/jinkiri	Hanyar dabaru mai kaifin basira + sauyawa nan take	Ee (farashi, latency, uptime, availability, nau'in mai samarwa)
Anthropic	Ƙungiyoyin da ke daidaitawa akan Claude	Mai siyarwa ɗaya	Mai siyarwa na asali	N/A (hanya ɗaya)	A'a
OpenRouter / LiteLLM	Masu haɓaka da ke son faɗi cikin sauri / DIY	Da yawa (ya bambanta)	Mai sauƙi/DIY	Sauƙaƙan madadin (ya bambanta)	Rabi
Portkey (ƙofa)	Tsararre/masana'antu	Masu bayarwa na BYO	Zurfin bin diddigi/tsare-tsare	Shirye-shiryen hanya na sharaɗi	N/A (kayan aikin infra)
Eden AI	Ƙungiyoyi da ke buƙatar hanyoyi da yawa ta API ɗaya	Da yawa (cross-modal)	Kula da amfani	Mayar da baya/ajiya	Rabi
Haɗa	Ƙungiyoyin aiki suna ɗaukar aiki/kula da wakilan AI	Multi-model (ta hanyar dandamali)	Daidaito + kimantawa	Zaɓin ra'ayi	Ba kasuwa-ta-farko ba
Mistral	Kungiyoyi masu fifita ingantattun/budaddun samfura	Mai siyarwa ɗaya	Mai siyarwa na asali	Babu	A'a
OpenAI	Kungiyoyi masu daidaita kan samfuran aji na GPT	Mai siyarwa ɗaya	Na'urar mai bayarwa + kayan aikin kamfanoni	Babu	A'a

Farashi & TCO: kwatanta ainihin farashi (ba kawai farashin raka'a ba)

Kungiyoyi sau da yawa suna kwatanta $/1K alamomi kuma su tsaya nan. A aikace, TCO yana dogara da maimaitawa/fallbacks, jinkirin samfurin (wanda ke canza halayen mai amfani da amfani), bambancin mai bayarwa, adana lura, gudanar da kimantawa, da fita.

Sauƙaƙen samfurin TCO (kowane wata)
TCO ≈ Σ (Base_tokens × Unit_price × (1 + Retry_rate)) + Observability_storage + Evaluation_tokens + Egress

• Samfuri (10k alamomi/kowace rana): inganta lokaci-zuwa-alamar-farko tare da Filin wasa da farawa cikin sauri.
• Matsakaici (2M alamomi/kowace rana): hanyar kasuwa mai jagora/failover tana rage farashi yayin inganta UX.
• Ayyuka masu tsauri: yi tsammanin farashin alamomi mai tasiri mafi girma yayin failover; tsara kasafin kuɗi don shi.

Jagorar hijira: motsawa zuwa ShareAI daga tsarukan gama gari

Daga Anthropic: tsara sunayen samfura; gwada Claude ta hanyar ShareAI tare da madadin. Gwada 10% na zirga-zirga; haɓaka 25% → 50% → 100% yayin da kasafin jinkiri/kuskure ya tsaya. Yi amfani da kididdigar kasuwa don musanya masu bayarwa ba tare da sake rubutawa ba.

Daga OpenRouter: kiyaye siffofin buƙata/amsa; tabbatar da daidaiton tambaya; tura wani yanki ta ShareAI don kwatanta farashi/jinkiri/lokacin aiki kafin aika.

Daga LiteLLM: maye gurbin wakilin da aka shirya kansa akan hanyoyin samarwa da ba ka son aiki; kiyaye shi don ci gaba idan an fi so. Kwatanta nauyin aiki vs. hanyar da aka sarrafa da nazari.

Daga Portkey/Unify/Orq: kiyaye gateway/inganci/orchestration inda suke haskakawa; yi amfani da ShareAI don zaɓin mai bayarwa mai bayyana da failover. Idan kana buƙatar manufofin dukkan ƙungiya, gudanar da gateway a gaban API na ShareAI.

Fara da sauri: Bayanin API · Shiga / Yi rijista · Ƙirƙiri Maɓallin API

Jerin duba tsaro, sirri & bin doka (mai zaman kansa)

• Sarrafa maɓalli da juyawa; iyakantaccen scopes; rarraba muhalli.
• Riƙe bayanai: inda ake adana tambayoyi/amsoshi da gyara su.
• PII da abun ciki mai mahimmanci: rufe da sarrafa shiga; hanyoyin yanki.
• Ganewa: tambayoyi/amsoshi logs, traces, da dashboards na farashi/jinkiri.
• Amsar matsala: hanyoyin haɓaka da SLAs na mai bayarwa.

Kwarewar mai haɓakawa wanda ke isarwa

Lokacin zuwa farkon token yana da mahimmanci. Fara a cikin Filin wasa, ƙirƙiri maɓallin API, sannan aika tare da API reference. Yi amfani da kididdigar kasuwa don saita lokaci-lokaci na mai bayarwa, jera backups, tsere masu fafatawa, da tabbatar da fitarwa mai tsari—wannan yana haɗuwa da kyau tare da failover da sarrafa farashi.

curl -X POST "https://api.shareai.now/v1/chat/completions" \"

Tambayoyi akai-akai (FAQ).

Anthropic vs OpenAI: wanne don hanyoyin routing masu yawa? Babu ɗaya—dukansu masu bayarwa guda ɗaya ne. Yi amfani da ShareAI don samun damar duka (da ƙari) a bayan API ɗaya tare da bayyanar kasuwa da failover nan take.

Anthropic vs OpenRouter: faɗi ko zurfin control-plane? OpenRouter yana bayar da faɗi; Anthropic yana bayar da Claude. Idan kana buƙatar manufofin routing, zurfin ganewa, da bayanan kasuwa a wuri guda, ShareAI ya fi ƙarfi.

Anthropic vs Eden AI: LLMs vs sauƙin sabis masu yawa? Eden AI ya haɗa da ƙarin hanyoyin. Don hanyar LLM mai bayyana mai bada tare da cikakken lura, ShareAI ya fi dacewa—duk da haka za ka iya haɗa wasu ayyuka.

Anthropic vs LiteLLM: sarrafawa ko DIY? LiteLLM yana da kyau idan kana son gudanar da wakilinka na kanka. ShareAI yana ɗaukar nauyin wakilci, hanyar sadarwa, da nazari don haka za ka iya aikawa da sauri tare da ƙarancin aiki.

Anthropic vs Unify: ingantaccen inganci na kowane tambaya? Unify yana mai da hankali kan zaɓin da aka jagoranta da kimantawa; ShareAI yana mai da hankali kan hanyar kasuwa da amintuwa kuma zai iya cika zagayen kimantawa.

Anthropic vs Portkey (ƙofa): manufofin ƙungiya ko hanyar kasuwa? Portkey yana nufin gudanarwa/tsare-tsare/bibiyar tarihi. ShareAI yana nufin zaɓin mai bada mara son kai da failover. Kungiyoyi da yawa suna gudanar da duka (ƙofa → ShareAI).

Anthropic vs Orq AI: tsara ko haɗawa? Orq yana mai da hankali kan kwarara/hadaka. ShareAI yana mai da hankali kan haɗakarwa da hanyar sadarwa mara son kai; za ka iya haɗa su.

LiteLLM vs OpenRouter: wanne ya fi sauƙi don farawa? OpenRouter yana da sauƙin SaaS; LiteLLM yana da sauƙin DIY. Idan kana son hanyar sadarwa mara aiki tare da kididdigar kasuwa da lura, ShareAI shine hanya mafi bayyanawa.

Anthropic vs Mistral (ko Gemini): wanne ne “mafi kyau”? Babu wanda ya ci gaba gaba ɗaya. Yi amfani da ShareAI don kwatanta jinkiri/farashi/lokacin aiki tsakanin masu bada sabis kuma ka tsara bisa ga aiki.

Kammalawa

Zaɓi ShareAI idan kana son API ɗaya a cikin masu bada sabis da yawa, kasuwa mai bayyana a fili, da juriya ta tsohuwa—tare da tattalin arzikin da mutane ke sarrafawa wanda ke samun kuɗi daga GPUs da sabobin da ba a amfani da su. Zaɓi Anthropic idan ka sadaukar da kanka ga Claude. Don wasu fifiko (ƙofofi, tsara, kimantawa), kwatancen da ke sama yana taimaka maka haɗa tsarin da ya dace da ƙuntatunka.

Gwada a Filin Gwaji · Shiga / Yi rijista · Fara Tare da API · Duba ƙarin Zaɓuɓɓuka