LLMs

Gemini 4 Carbon: Google Ka Ab Tak Ka Sabse Taqatwar Model, Par Abhi Use Nahi Kar Sakte

Argon ke public hone ke do hafte baad Google ne Carbon announce kiya, pehle chune hue cyber defenders ke liye. Independent tests kya kehte hain, price kya hoga, aur tab tak kya karein.

Read in English
AAICreatorHub Team30 Oct 2026 5 min read
LLMs
4Carbon
aicreatorhub.netAI News

Google ne 28 October ko Gemini 4 Carbon announce kiya, Gemini 4 Argon ko sabke liye kholne ke lagbhag do hafte baad. Ise abhi aap use nahi kar sakte. Abhi ye Google ke Fairwind Program ke chhote se cyber defenders ke group ko ja raha hai, wahi raasta jo Argon ne public hone se pehle liya tha.

Google ke hisaab se ye kis ke liye hai

Google ise apna sabse taqatwar model kehta hai, jisme uske shabdon me cybersecurity aur long-horizon kaabiliyat sabse aage hai. Long-horizon ka matlab hai aise kaam jisme kai step hon aur der tak chalein. Google kehta hai ki uski apni teams ne Carbon ko complicated engineering kaam par kai din tak chalte dekha hai. Wo ye bhi kehta hai ki Carbon Argon se lagbhag aadhe aise dawe karta hai jinka saboot nahi, aur jo kaam diya gaya usse aage badhne ki baat 26% kam hoti hai.

Cyber ke numbers headline hain, aur ye Google ke apne hain: SEC-bench Pro par 88.2%, jo kamzoriyan dhundhna naapta hai, aur ExploitGym par 54.8%, jo unka faayda uthana naapta hai. Dono ko naye record ke taur par bataya gaya hai. Isi wajah se access chhota hai. Jo model kamzoriyan dhundhne me itna achha hai wo unka galat faayda uthane me bhi achha hai, isliye Google pehle unhe de raha hai jo systems ki raksha karte hain.

Independent testers ne kya paya

Artificial Analysis, jo khud tests chalata hai, Carbon ko apne Intelligence Index par 59 ke saath pehle number par rakhta hai. Claude Opus 5.5 ka 58, GPT-6 Astra ka 57 aur Argon ka 50 hai. Ye sirf ek point ka farak hai, isliye top ke kram ko main zyada gambheerta se nahi leta.

Coding me tasveer itni ek-tarfa nahi hai. Artificial Analysis ke coding-agent index par Google ke Antigravity CLI me chalaya gaya Carbon 59 laata hai, par Opus 5.5 ke saath Claude Code 62. Carbon FrontierCode aur Terminal-Bench 4.0 (64%) me doosre number par hai, aur Google ki apni table me FrontierSWE 2 par peeche hai (61.2%, jabki GPT-6 Astra ka 65.5%) aur offline OSWorld test par bhi (81.5%, jabki Opus 5.5 ka 87.2%). Google kehta hai ki jo 17 rows usne chhaapi, unme se 15 me Carbon aage hai.

Ek nateeja dhyan dene layak hai: Artificial Analysis ke knowledge test par Carbon 58% sawaalon ke sahi jawab deta hai, jo Argon ke 48% se zyada hai, lekin uska hallucination rate 4% se badhkar 11% ho jaata hai. Wo zyada jaanta hai, aur andaza lagane ko bhi zyada taiyar hai. Yehi ek jagah hai jahan wo pichhle model se kharab hai.

Price, agar kabhi mila to

ShuruaatiBaad me
Input (per 1M token)$2$4
Output (per 1M token)$10$20
Cached input95% kam95% kam

Google nahi batata ki Carbon ka shuruaati price kab khatam hoga. Argon ka 30 November ko khatam hota hai. Fairwind group ke bahar koi Carbon khareed hi nahi sakta, isliye ye price ek sanket zyada hai, planning ka number kam.

Tab tak kya karein

Agar aap Argon par bana rahe hain to kuch nahi badalta. Wo public model hai, aur Google ne ise hataane ki koi baat nahi ki. Google kehta hai ki Carbon developers, businesses aur consumers tak 'jitni jaldi ho sake' pahunchega, par tareekh nahi deta, aur uske post me India ka zikr nahi hai. Samajhdaari ye hai ki model ka naam code me jagah-jagah likhne ki jagah ek config setting me rakhiye, taaki baad me badalna ek minute ka kaam ho. Phir pehle independent price aur speed ke numbers ka intezaar kijiye, uske baad tay kijiye ki paise dene layak hai ya nahi.

Sources

Frequently asked questions

Kya Gemini 4 Carbon abhi use kar sakte hain?

Nahi, jab tak aap Google ke Fairwind Program me cyber defender na hon. Google kehta hai ki ye developers, businesses aur consumers ke paas jitni jaldi ho sake aayega, par koi tareekh nahi di. Artificial Analysis ise bina public API wala batata hai.

Gemini 4 Carbon kitne ka hoga?

Google ne shuruaati $2 per million input token aur $10 per million output bataya hai, phir $4 aur $20, cached input par 95% chhoot ke saath. Shuruaati period kab khatam hoga, ye nahi bataya.

Kya Carbon, Claude Opus 5.5 se behtar hai?

Artificial Analysis ke Intelligence Index par kam farak se: 59 aur 58. Uske coding-agent index par Opus 5.5 ke saath Claude Code aage hai, 62 aur 59. Dono jagah farak bada nahi hai.

📊 At a glance

Save this summary as an image or share it.

AAICreatorHubLLMsGemini 4 Carbon: Google Ka AbTak Ka Sabse Taqatwar Model,Par Abhi Use Nahi Kar Sakte1Google: Gemini 4 Carbon, our next frontiermodel (28 October 2026)2VentureBeat: Google unveils Gemini 4 Carbon(Artificial Analysis ke results)3Google: Gemini 4 Argon is now available (13October 2026)aicreatorhub.netSave & share
Share:
A

AICreatorHub Team

The AICreatorHub editorial team is a group of hands-on AI practitioners, writers and developers based in India. We test AI tools and models ourselves, track official releases from OpenAI, Anthropic, Google, Meta and xAI, and translate them into simple, India-first guides in English and Hindi. Every article is written for real Indian use cases — pricing in rupees, free-tier tips and practical, tested steps — so you get accurate, up-to-date and genuinely useful AI information.

Related news

View all →
LLMs
105Din
aicreatorhub.netAI News
LLMs

105 Din Baad Gemini Ka Price Double: 3 Cheezein Dekhiye

Gemini 3.8 Flash aaj $0.75 per million input token hai, aur 1 January 2027 se $1.50. Ye Google ke apne pricing page par likha hai. Us din aapke bill ki 3 lines double hongi, aur ek wo hai jise koi dekhta hi nahi.

AICreatorHub Team18 Sept 2026· 7 min
LLMs
1.05M
aicreatorhub.netAI News
LLMs

10.5 Lakh Token Context: Astra vs Fable 5.1, 3 Baatein

3 numbers dono naye flagship models ko alag karte hain. Dono ka input rate same hai — $10 per million. Asli farak cached context me hai, jahan ek doosre se 4 guna sasta hai.

AICreatorHub Team5 Sept 2026· 8 min
LLMs

फ्री और ओपन AI मॉडल 2026: Mistral, Qwen, Kimi — अपने कंप्यूटर पर चलाएँ

aicreatorhub.netAI News
LLMs

फ्री और ओपन AI मॉडल 2026: Mistral, Qwen, Kimi — अपने कंप्यूटर पर चलाएँ

Mistral Large 3, Qwen 4 और Kimi K3 — ऐसे AI मॉडल जो पूरी तरह फ्री हैं और आप अपने सर्वर पर चला सकते हैं। कौन-सा किसके लिए सही है।

AICreatorHub Team17 Aug 2026· 7 min