Fable 5: Anthropic's latest AI model could transform IT, but at a cost

Anthropic’s latest AI model Fable 5 has the potential to transform IT operations with its superior coding abilities, but concerns over high compute costs and token consumption may limit widespread adoption, experts said.

“Fable's biggest differentiator is its agentic coding capability, which means it can accomplish complex tasks autonomously and find multiple paths to reach a goal,” said Srikanth Velamakanni, chief executive at AI services firm Fractal Analytics and chairperson of Nasscom. “That makes it one of the most powerful software engineering models we have seen so far, with the potential to significantly transform enterprise IT operations, provided it is used responsibly.”

Still, models like Fable can suffer from “jagged intelligence,” which means they are able to perform advanced tasks such as coding or passing medical exams but struggle with basic logic, spelling or simple counting, he said.


Also Read: Claude Fable 5 & Mythos 5: Key highlights from Anthropic’s latest launch

Anthropic has priced Fable 30% cheaper than rival OpenAI’s GPT 5.5 Pro model but it’s currently slow and token hungry. Researchers suggest Fable is an enterprise grade model and not suitable for everyday common tasks. “Think of it like a bazooka — it has a lot of power and consumes a lot of ammunition. In this case, the ammunition (tokens) is very expensive,” Velamakanni said.

The latest release, Claude Fable 5, is a Mythos-class AI model with built-in safety guardrails. Anthropic has thus far kept Mythos under private preview. They are essentially the same model, experts said.

Also Read: Anthropic’s Fable 5 draws mixed reactions from early users

Threat to India

They added that safeguards and levels of access vary. Early users have described Fable as the most capable coding model yet. It can autonomously assign complex tasks to agents and execute them as well. The model has beaten all industry performance benchmarks in biology, legal, spatial reasoning, agentic coding, cybersecurity and health, data showed.

For instance, Fable migrated 50 million lines of code for Stripe in one day, a task that would typically require at least two months of human effort by a full team. It designed drugs 10x faster than humans and could even draft an S-1 filing for the SpaceX IPO from scratch that was nearly identical to the actual document. It could clone 3D games like Pokemon and Minecraft with a few simple prompts.

The model’s capabilities also pose a threat to India’s $310 billion IT industry as agents automate grunt work.

“Fable appears to be strong at modernisation and maintenance activities when properly supported by context and tools,” said Gary Olliffe, distinguished vice president, analyst, at Gartner. “This is likely to pose a challenge to the IT services industry in general, as expectations shift.” However, cost concerns may keep the model’s demand elastic, he said.

Although the model’s capability is notable, AI must be effectively embedded in “enterprise workflows, integrated with data, governed for risk and compliance, and scaled through robust operating controls,” said Nitin Bhatt, partner and technology sector leader at EY India. “This reinforces the role of IT services firms in orchestrating and delivering enterprise-wide intelligence at scale.”

Fable comes with guardrails that would prevent its use in cyber exploits, said Vinayak Godse, chief executive, Data Security Council of India, part of industry grouping Nasscom.

“Models like Mythos and Fable are raising the bar for what AI can accomplish, but they are also forcing organisations to rethink cybersecurity,” he said. “Organisations are facing growing challenges in securing their codebases, digital assets and third-party software supply chains. I would say, from a cyber perspective, we need to be paranoid and worried, but not scared.”

Fable 5 is Anthropic’s first Mythos class model that’s safe for general use, said Varun Mishra, principal analyst at Counterpoint Research. “It is specifically designed to execute multi-hour autonomous tasks without human intervention straight out of the box, which is its key differentiator. However, its premium price tag and long horizon workflows would also mean a rising token bills for companies,” he said.