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Claude Opus 5.5 vs Sonnet 5.5 vs Haiku 5.5: Kaun Sa Model Chunein?

Anthropic ne teen hafton me teen Claude 5.5 models laaye. Hairani ki baat: Anthropic ke apne numbers me beech ki keemat wala Sonnet agentic coding me Opus se aage hai. Price ke saath seedhi guide.

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AAICreatorHub Team18 Oct 2026 6 min read
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Seedha jawab: Default ke liye Sonnet 5.5 ($2 / $10 per million token) lijiye. Mushkil, khule kaam ke liye Opus 5.5 ($4 / $20). Bahut zyada volume wale chhote kaam — summary, classification — ke liye Haiku 5.5 ($0.10 / $0.50), aur uske prompt 1 lakh token se chhote rakhiye, wahi sabse sasta hai.

Anthropic ne Claude Opus 5.5 22 September, Sonnet 5.5 28 September aur Haiku 5.5 7 October ko launch kiya. Teeno Claude API, AWS, Google Cloud aur Microsoft Azure par hain. Neeche Anthropic ke apne numbers se tulna hai.

Price ek saath

ModelInput (per 1M)Output (per 1M)Cache read (per 1M)
Opus 5.5$4$20$0.20
Sonnet 5.5$2$10$0.10
Haiku 5.5 (1 lakh token tak)$0.10$0.50$0.01
Haiku 5.5 (1 lakh token se upar)$0.50$2.50$0.05

Opus 5.5 ka fast mode 2.5 guna tak tez hai, par double price ($8 / $40) par. Pichhla Haiku 4.5 $1 / $5 ka tha, yani Haiku 5.5 chhote prompts par 90% sasta hai.

Anthropic ke benchmarks

BenchmarkOpus 5.5Sonnet 5.5Haiku 5.5
Terminal-Bench 4.0 (agentic coding)66.4%70.6%39.2%
OSWorld 2.1 (computer use)81.8% (partial)80.1% (partial)72.4% (offline subset)
CursorBench 4.057.8%55.5%—

Do saavdhaniyan: ye Anthropic ke apne numbers hain, independent test nahi. Aur Haiku ka OSWorld score alag subset par hai, isliye seedhi tulna nahi.

Hairani: agentic coding me Sonnet, Opus se aage

Terminal-Bench 4.0 par Sonnet 5.5 ka 70.6% hai aur Opus 5.5 ka 66.4% — wo bhi aadhi keemat par. Anthropic phir bhi mushkil, khule kaam ke liye Opus ko behtar batata hai, par saaf-saaf define kiye kaam ke liye sasta model hi samajhdaari hai.

Kis kaam ke liye kaun sa

Agar aap…Use kijiye
Coding assistant ya production agent bana rahe hainSonnet 5.5
Lambi research ya mushkil multi-step problemOpus 5.5
Bahut zyada summary, classification ya data extractionHaiku 5.5
Bade model ke neeche sub-agents chala rahe hainHaiku 5.5
Claude Code se terminal me codingDefault Sonnet 5.5, mushkil kaam me Opus 5.5

Teen baatein jo bill badalti hain

  • Opus 5.5 hamesha sochta hai. Thinking mode band nahi hota, isliye chhoti request me bhi reasoning token lagte hain.
  • Haiku ki 1 lakh token wali line. Prompt 1 lakh token se bada hua to Haiku 5.5 paanch guna mehenga ho jata hai.
  • Caching. Baar-baar wahi instructions aur documents bhejne wale agents prompt caching zaroor use karein — aksar headline price se zyada farak isi se padta hai.

Anthropic USD me bill karta hai; Indian teams ko upar se GST aur card charges bhi dene padte hain. Apne token count ke saath AI cost calculator me mahine ka kharch dekhiye.

Sources

Frequently asked questions

Coding ke liye kaun sa Claude 5.5 model best hai?

Zyadatar coding ke liye Sonnet 5.5. Anthropic ke Terminal-Bench 4.0 results me ye 70.6% par hai, Opus 5.5 ke 66.4% se aage, aadhi keemat par. Mushkil, khule problems ke liye Opus 5.5.

Claude Haiku 5.5 kitne ka hai?

1 lakh token tak ke prompt par $0.10 per million input aur $0.50 per million output token, aur usse upar $0.50 aur $2.50 — chhote prompts par Haiku 4.5 se 90% sasta.

Kya Claude Opus 5.5, Claude Fable 5.1 se behtar hai?

Anthropic ke mutabik Opus 5.5 zyadatar kaam me Fable 5.1 ke barabar hai aur Terminal-Bench 4.0 par aage hai (66.4% vs 55.8%), $4/$20 per million token par, jabki Fable 5.1 $10/$50 ka hai.

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AAICreatorHubLLMsClaude Opus 5.5 vs Sonnet 5.5vs Haiku 5.5: Kaun Sa ModelChunein?1Opus 5.5 hamesha sochta hai. Thinking modeband nahi hota, isliye chhoti request me bhireasoning token lagte hain.2Haiku ki 1 lakh token wali line. Prompt 1 lakhtoken se bada hua to Haiku 5.5 paanch gunamehenga ho jata hai.3Caching. Baar-baar wahi instructions aurdocuments bhejne wale agents prompt cachingzaroor use karein — aksar headline price se…aicreatorhub.netSave & share
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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.

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