Kimi K3.1 Pro: Open-Weight Model Jo Coding Me Claude Opus 5.5 Ke Barabar Pahuncha
Moonshot ka naya flagship Terminal-Bench 4.0 par 65.7% laata hai — Claude Opus 5.5 se sirf 0.7 point peeche — aur iske weights 4 November tak aayenge. Kya hai, kitne ka hai, aur cyber skills wali shart.
Read in EnglishMoonshot AI ne 23 October 2026 ko Kimi K3.1 Pro launch kiya, aur apne hi coding test me ye Claude Opus 5.5 se 0.7 point peeche hai. Ye '3T-class' model hai, 10 lakh token ke context ke saath, aur open weights 4 November tak aane hain. Aaj hi kimi.com aur Kimi API par use kar sakte hain.
Kahan use kar sakte hain
Kimi.com aur Kimi apps par, Kimi Code (Moonshot ka coding agent) me, aur API me kimi-k3.1-pro aur kimi-k3.1-pro-highspeed IDs se. Highspeed do-teen guna tez chalta hai, kaabiliyat wahi. Apne server par abhi nahi chala sakte, kyunki pure weights ka wada sirf 4 November ka hai.
Ek cheez ka dhyan rakhiye: K3.1 Pro sirf thinking mode me chalta hai. Moonshot ke docs kehte hain ki thinking band karke bheji request reject ho jaati hai, isliye har bill me reasoning tokens ka hisaab rahega.
Moonshot ke benchmarks
| Benchmark | Kimi K3.1 Pro | Claude Opus 5.5 | GPT-6 Astra |
|---|---|---|---|
| Terminal-Bench 4.0 (agentic coding) | 65.7% | 66.4% | 58.2% |
| BenchCAD (tools ke saath) | 92.7% | 96.2% | 95.9% |
Ye Moonshot ke numbers hain. Independent nateeje thode kam par phir bhi achhe: Vals.ai ise 27 models me 8th rakhta hai. Moonshot ye bhi kehta hai ki ek mushkil internal stress test par uska hallucination rate 23.4% se ghat kar 8.3% hua, aur saath me jodta hai ki ye stress test hai, aam error rate nahi.
Kharch kitna
Moonshot ke blog me price nahi likha. Third-party listings me K3.1 Pro lagbhag $2 per million input aur $10 per million output token hai, aur Highspeed us se lagbhag double. Budget banane se pehle Moonshot ka pricing page dekhiye. Ye rate sahi nikla to headline price Claude Sonnet 5.5 jitna aur Claude Opus 5.5 ka aadha hai.
Cyber wali shart
Moonshot ne open release ke liye jaan-boojh kar ek kaabiliyat kam ki. Training se cyber-security data hataya, aur uska internal hacking benchmark 90.5% se 81.0% par aa gaya. Moonshot ke mutabik open model ki cyber ability un frontier models se peeche rehti hai jo kam se kam teen mahine se public hain. Zyadatar logon ko farak nahi dikhega. Security research karte hain to jaanna zaroori hai.
Try karne layak hai?
Haan, agar lagbhag frontier coding chahiye aur baad me apne server par chalane ka vikalp, jo data-residency niyamon me madad karta hai. Abhi nahi, agar aaj hi apne servers par chahiye. Switch karne se pehle apne kaam par DeepSeek V4.1 Flash, jo MIT licence ke saath kaafi sasta hai, aur Claude Sonnet 5.5 se tulna kijiye.
Sources
Frequently asked questions
Kya Kimi K3.1 Pro open source hai?
Iske weights 4 November 2026 tak release honge. Tab tak ye sirf Kimi apps aur API par hai. Moonshot ke blog me licence nahi bataya gaya.
Coding me Kimi K3.1 Pro kitna achha hai?
Moonshot ke Terminal-Bench 4.0 result me 65.7%, Claude Opus 5.5 ke 66.4% aur GPT-6 Astra ke 58.2% ke muqable. Vals.ai ise 27 models me 8th rakhta hai.
Kimi K3.1 Pro API kitne ka hai?
Moonshot ke blog me nahi likha. Third-party listings me $2 per million input aur $10 per million output token, Highspeed lagbhag double. Sahi rate ke liye Moonshot ka pricing page dekhiye.
Save this summary as an image or share it.
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.