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

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.

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 default low hai — 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.

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.

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.