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.
Ek hi hafte me do frontier model aa gaye. Anthropic ne Claude Fable 5.1 aur Claude Mythos 5.1 1 September 2026 ko release kiye. OpenAI ne GPT-6 Astra 3 September 2026 ko. Dono companies ne apne hi model ko duniya ka sabse achha bataya — Anthropic ne kaha "coding aur knowledge work ke liye duniya ke sabse advanced models", OpenAI ne kaha "duniya ka sabse intelligent aur aligned model".
Marketing ek taraf rakhiye. Specs public hain, aur itne paas-paas hain ki chunav isi baat par aata hai ki aap kaam kaise karte hain. Jo verify ho sakta hai, wo ye raha.
1. Sticker price bilkul same hai — $10 in, $50 out
Dono flagship ka headline rate ek hi hai: $10 per million input token aur $50 per million output token. Ye asaadharan hai, aur iska matlab ye ki sirf per-token comparison se aapko kuch pata nahi chalta.
| Model | Input / 1M | Cached input / 1M | Output / 1M |
|---|---|---|---|
| GPT-6 Astra | $10.00 | $1.00 | $50.00 |
| Claude Fable 5.1 | $10.00 | $0.25 | $50.00 |
| Claude Opus 5 | $5.00 | $0.50 | $25.00 |
| Claude Sonnet 5 | $2.00 | $0.20 | $10.00 |
Dono par batch processing 50% sasti hai. Astra me ek Fast mode bhi hai — 2 guna price par 2 guna speed. Aur lambe prompts mehnge padte hain: 272,000 input token se upar ki request par input 2x aur output 1.5x lagta hai, sirf extra hisse par nahi, poori request par.
2. Paisa asal me cached context me jata hai
Agentic kaam baar-baar ek hi cheez padhta hai — wahi repository, wahi instructions, wahi tool definitions, wahi badhti hui baat-cheet. Ye dobara padhna cache read me ginta hai, aur lambe kaam me yahi bill ka sabse bada hissa hota hai.
Yahi ek number thehar kar sochne layak hai. Fable 5.1 ka cached input Astra se ek-chauthai hai, aur Sonnet 5 se sirf 25% zyada — jabki uska base input price Sonnet se paanch guna hai. Ye ek soch-samajh kar lagayi gayi shart hai: aage bill agents ke context dobara padhne se banega, naye prompts se nahi.
3. Effort setting ab price ka dial ban gaya hai
Dono models me ab kai reasoning-effort levels hain, aur sabse saste aur sabse mehnge setting ka farak itna bada hai ki bahut se kaamon me setting model ke chunav se zyada matter karti hai.
- GPT-6 Astra:
low,medium,high,xhigh,max. API ka defaultlowhai — marketing upar wale end ki baat karti hai, to chahiye to khud set kijiye. - Claude Fable 5.1: paanch effort levels, Claude Code me default High aur Claude ke apps me Medium.
Kaun kis kaam ke liye bana hai
Tareef ke shabd hata dein to dono launches alag cheezon par zor dete hain.
| GPT-6 Astra | Claude Fable 5.1 | |
|---|---|---|
| Release | 3 September 2026 | 1 September 2026 |
| API naam | gpt-6-astra | claude-fable-5-1 |
| Context window | 10,50,000 token | 10,00,000 token |
| Max output | 1,28,000 token | 1,28,000 token |
| Knowledge cutoff | 30 April 2026 | June 2026 |
| Input | Text aur image | Text aur image |
| Zor kis par | Computer use, browser, cybersecurity | Coding, knowledge work, lambi research |
OpenAI ne computer use par sabse zyada zor diya — form bharna, spreadsheet chalana, site banana, browser ko shuru se aakhir tak chalana. Ye OpenAI ka pehla model hai jo unke critical cybersecurity capability threshold ko cross karta hai, isi liye pehle sirf vetted cybersecurity customers ko mila, sabko nahi.
Anthropic ke numbers lambe, khud chalne wale kaam ki taraf jhukte hain. Unki apni table me Fable 5.1 Terminal-Bench-Science 0.1 par 52.6% hai jabki Fable 5 24.7% — do guna se zyada — aur AutomationBench par 31.4% vs 17.1%. Chhote kaam wale benchmarks sirf kuch point hile. Kaam jitna lamba, farak utna bada.
Rupaye me soch rahe hain to iska matlab kya
In dono me se koi bhi wo model nahi hai jahan zyadatar log apna roz ka traffic bhejein. Dono range ke sabse upar hain aur us hisaab se mehnge hain — aur ye khud dono vendor kehte hain. Anthropic ki apni documentation developers se kehti hai ki Opus 5 se shuru karo, aur Fable 5.1 tab uthao jab Opus zyada effort par bhi kam pad jaye.
Pros
- Lambe, multi-step kaam me sach me behtar, jinme pehle nazar rakhni padti thi
- Million-token context — poori repository aur lambe document set aa jate hain
- Sasta cache read (Fable 5.1) pehli baar lagatar chalne wale agents ko affordable banata hai
- Effort setting se aap utni hi intelligence khareed sakte hain jitni kaam ko chahiye
Cons
- $50 per million output mid-tier model se 5 guna hai, utne hi shabdon ke liye
- Astra par 272K token se lambe prompt ki poori request 2x input par ginti hai
- Dono abhi poori tarah available nahi — Astra phases me aaya, Mythos sirf invite par
- Benchmark ke aankde vendor ke apne hain, kisi teesre ne dobara nahi naape
Mythos 5.1: wahi model, ek band darwaze ke peeche
Ye jaanna zaroori hai kyunki isse ajeeb benchmark rows samajh aa jati hain: Claude Mythos 5.1 aur Fable 5.1 ek hi model hain — same weights, same pricing — bas biology aur cybersecurity me safeguards zyada dheele hain. Ye consumer product nahi hai aur aam taur par available bhi nahi — access sirf invite wale verification programmes se milta hai, filhaal sirf US organisations ko.
Frequently asked questions
GPT-6 Astra Claude Fable 5.1 se behtar hai kya?
Kisi company ne doosri ke benchmarks nahi chalaye, isliye saaf jawab hai hi nahi. Anthropic ki table me Fable 5.1 har row par GPT-5.6 Sol se aage hai, lekin Astra us tulna se naya hai aur OpenAI ne uske liye koi numeric coding table di hi nahi. Specs me dono paas-paas hain: wahi $10/$50 pricing, lagbhag million-token context, dono me text aur image input. Asli farak cached input ka hai, jahan Fable 5.1 4 guna sasta hai.
GPT-6 Astra ka kharcha kitna hai?
Standard pricing par $10 per million input token, $1 per million cached input, aur $50 per million output. Cache write $12.50 per million. Batch aur Flex standard ka 50%. Fast mode speed aur price dono double kar deta hai. 272,000 input token se badi request par poori request 2x input aur 1.5x output par ginti hai.
In models ka context window kitna hai?
GPT-6 Astra ka context window 10,50,000 token hai, maximum input 9,22,000 token aur max output 1,28,000. Claude Fable 5.1 ka context 10,00,000 token hai, max output 1,28,000. Dono poori codebase ke liye kaafi bade hain, lekin Astra par 272,000 token se lamba prompt poori request ka price badal deta hai.
Kya main Claude Mythos 5.1 use kar sakta hoon?
Sirf tab jab aapki organisation Anthropic ke trusted-access programme me vetted ho — defensive security ke liye Cyber Verification Program, ya Life Sciences Verification Program. Dono filhaal sirf US organisations tak seemit hain. Ye Fable 5.1 wala hi model hai jisme safeguards dheele hain, koi zyada capable model nahi.
Kya mujhe apni app in par shift kar deni chahiye?
Aam taur par nahi. Anthropic ki apni documentation kehti hai ki Opus 5 ($5/$25) se shuru karo aur tabhi upar jao jab wo zyada effort par bhi kam pade. Sahi tareeka routing hai: bulk traffic mid-tier model par, flagship sirf un kaamon ke liye jo uske bina sach me fail hote hain, aur kharcha per token ki jagah per poora hua kaam naapa jaye.
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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.