99MODELS

کلوڈ فیبل 5

نیا

Mythos-class model for autonomous knowledge work; always reasons.

تاریخ اجراء: 9 جون، 2026

5,280.00

فی 10 لاکھ آؤٹ پٹ Tokens

ان پٹ: ₹1,056.00 فی 10 لاکھ Tokens

فراہم کنندہ کے نرخ کے مطابق ₹96 فی امریکی ڈالر پر تبدیل شدہ، بغیر کسی اضافی مارک اپ کے۔

تکنیکی تفصیلات

Context ونڈو
10,00,000 Tokens
زیادہ سے زیادہ آؤٹ پٹ
1,28,000 Tokens
سپورٹ
ٹیکسٹ, تصاویر, PDF فائلیں
Reasoning
پہلے سے آن
ایفرٹ لیولز
low, medium, high, xhigh, max
ٹول کا استعمال
ہاں
سٹرکچرڈ آؤٹ پٹ
ہاں
کوڈ ایگزیکیوشن
نہیں
ذہانت کا درجہ
54 میں سے #4
ویلیو کا درجہ
54 میں سے #35

قیمتیں

قیمتیں
فی 10 lakh TokensINRUSD
ان پٹ1,056.00$11.00
آؤٹ پٹ5,280.00$55.00
کیشڈ ان پٹ105.60$1.10

Benchmarks

تمام اسکورز فیصد میں ہیں، ماسوائے جہاں ریٹنگ درج ہو۔ یہ تمام پیمائشیں آزادانہ طور پر کی گئی ہیں۔

  • 92.6%

    GPQA Diamond

    GPQA Diamond - graduate-level science Q&A

  • 55.5%

    HLE

    Humanity's Last Exam

  • 61.0%

    SciCode

    SciCode - scientific code generation

  • 63.5%

    IFBench

    IFBench - precise instruction following

  • 82.3%

    Long Context

    Long Context Reasoning - reasoning over long inputs

  • 62.9%

    Terminal-Bench Hard

    Terminal-Bench Hard - agentic terminal tasks

  • 84.6%

    Terminal-Bench 2

    Terminal-Bench 2.1 - agentic terminal tasks, second edition

  • 53.5%

    FrontierCode

    FrontierCode - long-horizon production coding tasks

  • 89.2%

    ARC-AGI-2

    ARC-AGI-2 - abstract reasoning on novel puzzles

  • 1626

    WebDev Arena

    WebDev Arena - head-to-head web-app builds, Elo rating

کلوڈ فیبل 5 کے بارے میں

Anthropic's most capable widely released model, built for the most demanding reasoning and long-horizon agentic work. Its capabilities exceed anything Anthropic had previously made generally available, and it is state of the art on nearly all tested benchmarks, with exceptional results in software engineering, knowledge work, vision and scientific research. It can work autonomously for longer than any previous Claude, and it always reasons -- thinking cannot be switched off.

Fable 5 and Claude Mythos 5 are the same underlying model launched twice. Mythos 5 goes to cyber defenders and critical infrastructure providers with safeguards lifted; Fable 5 is that model made safe for general release, and it is the one served here. Because it always reasons, there is no non-thinking mode to fall back to - every call spends reasoning tokens, and the effort ladder from low to max sets how many rather than whether. Anthropic characterises the advantage as one that widens with the job: the harder and more drawn-out the work, the further Fable 5 pulls ahead of the rest of its range.

The safeguards are the defining fact about this model and worth understanding before you rely on it. Classifiers watch for requests about cybersecurity, biology and chemistry, or attempts to distil the model, and hand those to Claude Opus 4.8 instead, telling the user when it happens. Anthropic tuned them deliberately conservatively, so benign requests are sometimes caught; the lab's early data shows fallback in under 5% of sessions, and says that for the other 95% Fable 5 performs effectively as Mythos 5 does. That reads across into the published benchmark table: on the starred rows, which include Humanity's Last Exam, Terminal-Bench 2.1 and the biology and cybersecurity evaluations, Fable 5 scores closer to Opus 4.8 than the headline figure because of those fallbacks.

On software engineering, Anthropic reports the highest score among frontier models on Cognition's FrontierCode evaluation even at medium effort, and cites Stripe compressing a codebase-wide migration across 50 million lines of Ruby into a day of work that would otherwise have taken a team over two months. Vision is where the lab claims a clean state of the art: extracting precise numbers from detailed scientific figures, rebuilding a web app's source code from screenshots alone, and finishing Pokemon FireRed with a vision-only harness where earlier Claude models needed a scaffold of navigation aids and game-state tools.

Long-horizon behaviour is the other theme. Anthropic says Fable 5 holds focus across millions of tokens and improves its own output from notes it wrote earlier; giving it persistent file-based memory in the deck-building game Slay the Spire helped it three times more than the same memory helped Opus 4.8, and it reached the final act three times as often. On knowledge work the lab reports the highest score of any model on Hebbia's Finance Benchmark, with the gains concentrated in document-based reasoning and chart and table interpretation.

Two operational notes come with the capability. Traffic on Mythos-class models carries mandatory 30-day retention on first- and third-party surfaces, which Anthropic says it uses for safety work and jailbreak detection and not for training. And on alignment the lab reports the model's rate of misaligned behaviour as low and similar to Opus 4.8's, measured on Mythos 5 and inherited by Fable 5 because they are the same weights.

لانچ کے وقت Anthropic کا بیان

Thinking cannot be turned off
Fable 5 always reasons. The effort ladder from low to max decides how much thinking a call buys, never whether it happens, so there is no cheap non-reasoning path on this model.
Software engineering at scale
Anthropic reports the top score among frontier models on Cognition's FrontierCode evaluation even at medium effort, and cites a 50-million-line Ruby migration completed in a day that a team had costed at over two months.
Vision
The lab calls Fable 5 its state of the art for vision: reading precise values off scientific figures, reconstructing a web app from screenshots, and completing a console game from raw frames with no helper tooling.
Long-horizon memory
Anthropic reports Fable 5 staying on task across millions of tokens and gaining three times as much as Opus 4.8 from persistent file-based memory on a long game-playing evaluation.
Knowledge work
On Hebbia's Finance Benchmark for senior-level reasoning the lab reports the highest score of any model, with the largest gains in document-based reasoning and chart and table interpretation.
What it is not for
Cybersecurity, biology and chemistry, and distillation-shaped requests are routed to Claude Opus 4.8 by classifiers Anthropic tuned to over-trigger rather than under-trigger, and the published scores on those rows reflect the fallback rather than the raw model.
Data retention is mandatory
Anthropic requires 30-day retention for all traffic on Mythos-class models, on first- and third-party surfaces alike. It says the data is used for safety and jailbreak detection, never for training.

ہندوستانی زبانیں

کلوڈ فیبل 5 15 ہندوستانی زبانوں میں جواب دیتا ہے۔ میسج باکس کے ساتھ والے مینو سے زبان کا انتخاب کریں۔

Frequently Asked Questions

کلوڈ فیبل 5 کے بارے میں اکثر پوچھے جانے والے سوالات۔

کلوڈ فیبل 5 کب جاری ہوا تھا؟

Anthropic نے کلوڈ فیبل 5 کو 9 جون، 2026 کو جاری کیا۔

کلوڈ فیبل 5 کس نے بنایا ہے؟

کلوڈ فیبل 5 کو Anthropic نے تیار کیا ہے۔ 99Models AI فراہم کنندہ کے اصل نرخ پر اس سے براہ راست جوڑتا ہے۔

کلوڈ فیبل 5 کتنا ذہین ہے؟

یہ ذہانت کی درجہ بندی میں 54 چیٹ ماڈلز میں سے 4 نمبر پر ہے۔ اس کے تمام بینچ مارک اسکور اوپر والے ٹیبل میں دیکھے جا سکتے ہیں۔

کلوڈ فیبل 5 کا کتنا خرچ آتا ہے؟

استعمال کی لاگت ₹1,056.00 فی 10 لاکھ ان پٹ Tokens اور ₹5,280.00 فی 10 لاکھ آؤٹ پٹ Tokens ہے، بغیر کسی اضافی فیس کے۔ کوئی سبسکرپشن نہیں؛ صرف استعمال کی ادائیگی کریں۔

امریکی ڈالر میں کلوڈ فیبل 5 کی قیمت کیا ہے؟

فراہم کنندہ $11.00 فی 10 لاکھ ان پٹ Tokens اور $55.00 فی 10 لاکھ آؤٹ پٹ Tokens لیتا ہے۔ روپے کے نرخ ₹96 فی امریکی ڈالر کے حساب سے تبدیل کیے گئے ہیں۔

کلوڈ فیبل 5 کتنی لمبی گفتگو یاد رکھ سکتا ہے؟

اس کی Context حد 10 lakh Tokens ہے، یعنی وہ تمام متن اور فائلیں جو یہ ایک ہی میسج میں پڑھ سکتا ہے۔

کیا کلوڈ فیبل 5 مناسب قیمت میں بہترین کارکردگی دیتا ہے؟

یہ بہترین قیمت کی درجہ بندی میں 54 ماڈلز میں سے 35 نمبر پر ہے، جس میں ذہانت اور ٹوکن کی لاگت کا موازنہ کیا گیا ہے۔

کیا کلوڈ فیبل 5 جواب دینے سے پہلے سوچتا ہے؟

پہلے سے آن۔ جہاں Reasoning کی سہولت موجود ہو، وہاں آپ میسج باکس میں سوچنے کی سطح خود طے کر سکتے ہیں۔

کلوڈ فیبل 5 کن ہندوستانی زبانوں میں جواب دیتا ہے؟

یہ 15 ہندوستانی زبانوں میں جواب دیتا ہے۔ میسج باکس کے ساتھ والے مینو سے اپنی زبان منتخب کریں۔

Anthropic کے مزید ماڈلز

کیٹلاگ اپ ڈیٹ: 9 ستمبر، 2026