ক্লড অ'পাছ 4.8
Previous-generation Opus flagship with adaptive thinking.
মুকলিৰ তাৰিখ: 27 মে’ 2026
₹2,640.00
প্ৰতি 10 লাখ আউটপুট Tokens
ইনপুট: প্ৰতি 10 লাখ Tokens-ত ₹528.00
প্ৰতি মাৰ্কিন ডলাৰত ₹96 হাৰত ৰূপান্তৰিত, 0% মাৰ্কআপৰ সৈতে প্ৰভাইডাৰৰ নিৰ্ধাৰিত দৰত বিল কৰা হয়।
Specifications
- Context window
- 10,00,000 tokens
- সৰ্বাধিক আউটপুট
- 1,28,000 tokens
- গ্ৰহণ কৰে
- টেক্সট, ছবি, PDF ফাইল
- Reasoning
- ঐচ্ছিক
- Effort levels
- low, medium, high, xhigh, max
- টুলৰ ব্যৱহাৰ
- হয়
- গঠনবদ্ধ আউটপুট
- হয়
- ক'ড কাৰ্যকৰীকৰণ
- নহয়
- বুদ্ধিমত্তাৰ ৰেংক
- 54 ৰ ভিতৰত #11
- ভ্যালু ৰেংক
- 54 ৰ ভিতৰত #34
মূল্য
Benchmarks
ৰেটিং হিচাপে উল্লেখ নথকালৈকে স্ক’ৰসমূহ শতাংশত দিয়া হৈছে। সকলো Benchmark স্বতন্ত্ৰভাৱে পৰীক্ষা কৰা হৈছে।
92.0%
GPQA Diamond
GPQA Diamond - graduate-level science Q&A
48.7%
HLE
Humanity's Last Exam
54.4%
SciCode
SciCode - scientific code generation
62.2%
IFBench
IFBench - precise instruction following
77.7%
Long Context
Long Context Reasoning - reasoning over long inputs
58.3%
Terminal-Bench Hard
Terminal-Bench Hard - agentic terminal tasks
84.6%
Terminal-Bench 2
Terminal-Bench 2.1 - agentic terminal tasks, second edition
46.5%
FrontierCode
FrontierCode - long-horizon production coding tasks
72.1%
ARC-AGI-2
ARC-AGI-2 - abstract reasoning on novel puzzles
54.8%
OSWorld 2
OSWorld 2 - agentic computer use (partial credit)
1563
WebDev Arena
WebDev Arena - head-to-head web-app builds, Elo rating
ক্লড অ'পাছ 4.8-ৰ বিষয়ে
The previous Opus flagship, built for complex agentic coding and enterprise work. It improved on Opus 4.7 across benchmarks at the same price, and early testers found it more reliable and sharper in its judgment on agentic tasks. It offers the same low-to-max effort ladder as Opus 5, but thinking is off by default here and must be requested.
Opus 4.8 was the top of Anthropic's line for about two weeks. It shipped in late May 2026, Claude Fable 5 arrived on 9 June and Claude Opus 5 on 24 July, so the model now reads as the last of the previous Opus generation rather than a current flagship - which is also how Anthropic framed it at the time, calling it a modest but tangible improvement on Opus 4.7 and saying openly that a cheaper Opus-capability tier and a class above Opus were both in progress. Both arrived.
The numbers Anthropic published are incremental and consistent: 69.2% on SWE-bench Pro against 64.3% for Opus 4.7, 83.4% on OSWorld-Verified against 82.8%, 1890 on GDPval-AA against 1753, 53.9% on Finance Agent v2 against 51.5%, and 49.8% on Humanity's Last Exam without tools and 57.9% with them against 46.9% and 54.7%. The price did not move from Opus 4.7's.
What the lab put first was not a score but honesty. Models tend to jump to conclusions and claim progress on thin evidence; Anthropic reports Opus 4.8 as around four times less likely than Opus 4.7 to let flaws in code it wrote itself pass unremarked, and early testers described a model that flags its own uncertainty, asks the right questions, and pushes back on a plan that does not hold together. The alignment assessment found substantially lower rates of misaligned behaviour than Opus 4.7, close to Claude Mythos Preview, alongside new highs on the lab's measures of prosocial traits.
Opus 4.8 is also where the effort control became a user-facing dial in Anthropic's own apps rather than an API-only setting. The lab ships the model at high effort as its own default, which it judges the best overall balance of quality and experience, and notes that on coding tasks that setting spends about as many tokens as Opus 4.7's default while scoring better; it recommends the extra rung for difficult tasks and long-running asynchronous workflows. Thinking is off here unless a call asks for it, so the ladder is something to reach for rather than something to turn down.
Two other things launched with it that say what the model was built for: dynamic workflows in Claude Code, which let Claude plan a large job, run hundreds of parallel subagents in one session and verify its own output before reporting back, aimed at codebase-scale migrations measured in hundreds of thousands of lines; and a fast mode running at 2.5 times the speed, which Anthropic priced at a third of what the equivalent cost on previous models.
মুকলিৰ সময়ত Anthropic-এ যি কৈছিল
- Honesty about its own work
- Anthropic reports Opus 4.8 around four times less likely than Opus 4.7 to let flaws in code it wrote pass unremarked, and testers describe a model that flags uncertainty rather than claiming progress on thin evidence.
- Across-the-board increments
- The lab measures 69.2% on SWE-bench Pro against Opus 4.7's 64.3%, 83.4% on OSWorld-Verified against 82.8%, and 1890 on GDPval-AA against 1753, all at the price Opus 4.7 charged.
- Where the effort dial arrived
- Opus 4.8 is the release that put effort control in Anthropic's own apps. High is the lab's default; it recommends the extra rung for hard tasks and long asynchronous runs.
- Codebase-scale jobs
- Dynamic workflows launched alongside it: Claude plans the work, runs hundreds of parallel subagents in one session, then verifies its own output, aimed at migrations spanning hundreds of thousands of lines.
- Alignment
- The alignment assessment found rates of misaligned behaviour substantially below Opus 4.7 and close to Claude Mythos Preview, with new highs on the measures of supporting user autonomy and acting in the user's interest.
- What it is not for
- Anthropic called this a modest improvement on its predecessor and said at launch that a cheaper Opus-capability tier and a more intelligent class above Opus were coming. Both shipped within two months, so reach for Opus 4.8 when its price and behaviour suit, not for peak capability.
ভাৰতীয় ভাষাসমূহ
ক্লড অ'পাছ 4.8-এ 14 টা ভাৰতীয় ভাষাত উত্তৰ দিয়ে। মেচেজ বক্সৰ কাষৰ ভাষা মেনুৰ পৰা বাছক আৰু সেই ভাষাতে উত্তৰ লাভ কৰক।
Frequently Asked Questions
ক্লড অ'পাছ 4.8 সম্পৰ্কে সঘনাই সোধা প্ৰশ্নসমূহ।
ক্লড অ'পাছ 4.8 কেতিয়া মুকলি কৰা হৈছিল?
Anthropic-এ ক্লড অ'পাছ 4.8 মডেলটো 27 মে’ 2026 তাৰিখে মুকলি কৰিছিল।
ক্লড অ'পাছ 4.8 কোনে তৈয়াৰ কৰিছে?
ক্লড অ'পাছ 4.8-ক AI লেব Anthropic-এ নিৰ্মাণ কৰিছে। 99Models AI-য়ে প্ৰভাইডাৰৰ নিৰ্ধাৰিত দৰতে ইয়াৰ পোনপটীয়া সংযোগ প্ৰদান কৰে।
ক্লড অ'পাছ 4.8 কিমান বুদ্ধিমান?
Intelligence তালিকাত 54 টা Chat Model-ৰ ভিতৰত ইয়াৰ স্থান 11, যিটো স্বতন্ত্ৰ Benchmark স্কোৰৰ দ্বাৰা নিৰ্ধাৰিত। ওপৰৰ Benchmarks তালিকাত ইয়াৰ সম্পূৰ্ণ স্কোৰ উপলব্ধ।
ক্লড অ'পাছ 4.8-ৰ খৰচ কিমান?
প্ৰতি 10 লাখ Input Tokens-ত ₹528.00 আৰু Output Tokens-ত ₹2,640.00, 0% মাৰ্কআপসহ প্ৰভাইডাৰৰ দৰত চাৰ্জ কৰা হয়। কোনো চাবস্ক্ৰিপশ্বন নাই; ব্যৱহাৰ অনুসৰি পেমেন্ট কৰক।
মাৰ্কিন ডলাৰত ক্লড অ'পাছ 4.8-ৰ API মূল্য কিমান?
প্ৰভাইডাৰে প্ৰতি 10 লাখ Input Tokens-ত $5.50 আৰু Output Tokens-ত $27.50 চাৰ্জ কৰে। ₹96 ডলাৰ বিনিময় হাৰত টকালৈ ৰূপান্তৰ কৰা হৈছে।
ক্লড অ'পাছ 4.8-এ কিমান দীঘলীয়া কথা-বতৰা মনত ৰাখিব পাৰে?
ইয়াৰ Context Window হ'ল 10 lakh Tokens। এটা ৰিকুৱেষ্টত এতিয়ালৈকে হোৱা কথোপকথন আৰু সংলগ্ন ফাইলসমূহ ই একেলগে প্ৰক্ৰিয়াকৰণ কৰিব পাৰে।
মূল্য আৰু পাৰদৰ্শিতাৰ ফালৰ পৰা ক্লড অ'পাছ 4.8 কিমান লাভজনক?
Value তালিকাত 54 টা Model-ৰ ভিতৰত ইয়াৰ স্থান 34। এই ৰেংকিং Benchmark বুদ্ধিমত্তা আৰু প্ৰকৃত Tokens খৰচৰ তুলনা কৰি নিৰ্ধাৰণ কৰা হয়।
ক্লড অ'পাছ 4.8-এ উত্তৰ দিয়াৰ পূৰ্বে Reasoning কৰেনে?
ঐচ্ছিক। য'ত Reasoning সমৰ্থিত, তাত আপুনি পোনপটীয়াকৈ মেচেজ কম্পোজাৰত চিন্তাৰ গভীৰতা বাছি ল'ব পাৰিব।
ক্লড অ'পাছ 4.8-এ কোন কোন ভাৰতীয় ভাষাত উত্তৰ দিয়ে?
ই 14 টা ভাৰতীয় ভাষাত উত্তৰ দিয়ে। মেচেজ বক্সৰ কাষৰ ভাষা মেনুৰ পৰা বাছি ল'লে সেই ভাষাতে উত্তৰ লাভ কৰিব।
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