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Claude Fable 5.2 tops Artificial Analysis AA-3D benchmark

Claude Fable 5.2 tops Artificial Analysis AA-3D benchmark

by | Nov 10, 2026 | Analysis

Claude Fable 5.2 has taken first place on Artificial Analysis' AA-3D benchmark with a score of 1,271 Elo, Crypto Briefing reported. Anthropic unveiled the model on November 9, 2026.

The ranking matters because AA-3D assesses models on their ability to create 3D experiences, according to Crypto Briefing. The publication said two other Claude models occupy the next two places, putting Anthropic's models across the top three.

The benchmark is one of several measures on which the new model has been evaluated, and its results do not establish how it will perform on every project. Crypto Briefing reported that AA-3D covers 55 tasks and cautioned that a strong test score does not automatically carry over to all real-world work.

How Claude Fable 5.2 leads AA-3D

The 1,271 Elo result puts Fable 5.2 ahead of Claude Sonnet 5.5 by 67 points, according to Crypto Briefing. The publication said Sonnet 5.5 and Claude Opus 5.5 are separated by two points on the same benchmark.

Crypto Briefing reported that Artificial Analysis gives Fable 5.2 a 95% confidence interval of 1,246 to 1,297 and lists the result as 1,271 ±25. The reported interval is part of the score's presentation, rather than a separate test result.

The new model also scored 132 points more than its predecessor, Fable 5.1, Crypto Briefing reported. Fable 5.1 had an AA-3D score of 1,139, placing it below GPT-6 Astra and Gemini 4 Argon, according to the publication.

In the current comparison, GPT-6 Astra is 103 points behind Fable 5.2, while Gemini 4 Argon trails by 124, Crypto Briefing reported. The publication said Artificial Analysis serves as an independent evaluator of the models.

The tasks in AA-3D span areas that include games and natural phenomena, according to Crypto Briefing. The publication said the benchmark uses Elo ratings to compare performance within the model pool.

Other benchmark results

Claude Fable 5.2 also led Artificial Analysis' Intelligence Index v5 with 65 points, THE DECODER reported. The publication put it five points ahead of Gemini 4 Carbon and 15 ahead of Fable 5.1 on that index.

THE DECODER reported that the 65-point result was recorded at the highest compute tier. It said Gemini 4 Carbon scored 60 at the High tier and Claude Opus 5.5 scored 59 at the Max tier.

Fable 5.2 led five of the index's nine individual tests, according to THE DECODER. The publication reported scores of 80% on HLE-Diamond, which tests expert-level academic questions, and 73% on Terminal-Bench-Science, which tests independent scientific workflows in a terminal.

On AA-Briefcase, which measures multistep knowledge work, Fable 5.2 scored 1,785 Elo, below Sonnet 5.5's 1,813, THE DECODER reported. The publication said Fable's score was within the confidence interval of Opus 5.5, which scored 1,800.

The model also led a finance and accounting capability index among 27 models compared, according to LavX News. The outlet reported that Fable 5.2 at Max ranked first for intelligence among 74 models, while placing 73rd of 73 on cost and 72nd of 73 on both speed and verbosity.

Pricing and access

Standard pricing for the new models is $8 per million input tokens and $40 per million output tokens, less than their predecessors. THE DECODER reported that an Intelligence Index task at the highest tier cost an average of $26.50 for Fable 5.2, compared with $10 for Opus 5.5 and $12.99 for Fable 5.1.

The models generate output up to 30% faster than their respective 5.1 predecessors, THE DECODER reported, citing Anthropic. The publication said an optional fast mode can increase output speed by up to 2.5 times at twice the cost, but is limited to select organizations and certain platforms.

Claude Fable 5.2 is available across Claude's platforms as well as Amazon Web Services, Google Cloud and Microsoft Azure, according to TestingCatalog AI News. The outlet said developers can access it on the Claude Platform using the identifier claude-fable-5-2.

Fable 5.2 and Mythos 5.2 share a model foundation but have different access arrangements, THE DECODER reported. Claude Platform Docs says Mythos is available to organizations verified through Anthropic programs and has the same specifications and pricing as Fable.

According to TestingCatalog AI News, organizations working in cybersecurity and life sciences that have been vetted may seek access to Mythos through the verification programs run by Anthropic. Claude Platform Docs says Fable requires 30-day data retention and cannot be used under zero data retention without express authorization from Anthropic.

Safeguards and technical work

Fable 5.2 is available to all users with cybersecurity and biology safeguards against misuse. Crypto Briefing reported that Fable has stronger safeguards against misuse than Mythos 5.2.

THE DECODER reported that Fable blocks most security-related tasks, including penetration tests and exploit code generation. In early testing, its safeguards produced about 55% fewer blocks than those of Fable 5.1, TestingCatalog AI News reported, citing Anthropic.

Claude Platform Docs describes Claude Fable 5.2 as designed for demanding reasoning and long-running agentic work. THE DECODER reported that Anthropic continues to recommend Opus 5.5 for everyday use while positioning the new models for more demanding technical tasks.

Anthropic has also described results from its own testing of the new models. According to Mashable SEA, Anthropic said they "designed three working electronic devices from scratch, solved two open problems in the physics of black holes…and formalized the proof of Fermat’s Last Theorem in 30 hours."

THE DECODER reported that Anthropic used about 1,000 Fable 5.2 agents to translate the theorem's proof into the Lean programming language for step-by-step computer verification. The publication said Anthropic reported that the agents organized their own collaboration after brief instructions and did not use mathematical references.

Conclusion

Crypto Briefing's reported AA-3D standings place Fable 5.2 first, ahead of two other Claude models, on a test of 3D experience generation. Other results reported by THE DECODER put the model first on Artificial Analysis' Intelligence Index, though the same publication recorded a higher average task cost than for Opus 5.5 or Fable 5.1 at the highest tier. For access, TestingCatalog AI News reports that developers can use Fable through the Claude Platform, while Anthropic's verification programs offer an application route for vetted organizations in cybersecurity and life sciences.

Frequently Asked Questions

What score did Claude Fable 5.2 get on AA-3D?

Crypto Briefing reported that Claude Fable 5.2 ranked first with 1,271 Elo on Artificial Analysis' AA-3D benchmark. The publication said the benchmark measures models' ability to build 3D experiences and covers 55 tasks. It also reported a 95% confidence interval of 1,246 to 1,297 for Fable's score.

How far ahead of Sonnet 5.5 is Fable 5.2 on AA-3D?

Fable 5.2 leads Sonnet 5.5 by 67 Elo points on AA-3D, according to Crypto Briefing. The publication reported that the two positions immediately below Fable belong to other Claude models and that Sonnet 5.5 and Opus 5.5 are separated by two points.

How much does Claude Fable 5.2 cost?

Anthropic charges $8 for each million input tokens, with the output rate set at $40 for the same volume. The corresponding rates for the preceding models were $10 and $50, respectively, according to THE DECODER. The publication also reported that a fast mode for select organizations costs twice as much.

Who can access Claude Mythos 5.2?

Claude Platform Docs says Mythos 5.2 is available to organizations verified through Anthropic's programs and shares Fable 5.2's specifications and pricing. TestingCatalog AI News reported that vetted cybersecurity and life sciences organizations can apply through those programs, while developers can access Fable on the Claude Platform.

Sources

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UK Commits £600 Million to AI Security, Anchored by New Biosecurity Lab

UK Commits £600 Million to AI Security, Anchored by New Biosecurity Lab

by | Oct 24, 2026 | Web3 Security

The UK government has set out an AI security funding package worth approximately £600 million, or about $800 million, with the largest share directed at defending against biological threats that artificial intelligence could worsen. Reuters reported that the funding, set out on Saturday, October 24, is largely geared toward health and security threats from AI.

The centerpiece of the package is a new AI Biosecurity Lab, described as the world's first organization dedicated to AI biosecurity. The lab is receiving £100 million and sits at the heart of a broader effort to position Britain as a leader in managing AI-related risks to public health, digital infrastructure and the economy.

Biosecurity Lab Leads the AI Security Package

Biosecurity receives the largest themed slice of the AI security funding, at £165 million in total. Of that, £100 million goes to the AI Biosecurity Lab, known as AIBL, while another £65 million is set aside for developing countermeasures against pathogens.

The lab will use artificial intelligence to identify and monitor biological threats. OpenAI and Anthropic are contributing up to £200 million in AI model credits, access to their systems rather than cash, while Google DeepMind and London-based AI life sciences startup Basecamp Research will also provide assistance.

AI Minister Kanishka Narayan said the aim was for the AI Biosecurity Lab to become a major global institution "bringing together world-leading scientific expertise to protect people from emerging biological threats". The BBC noted that full details about the role and remit of the new lab are yet to emerge.

The up to £200 million figure for the OpenAI and Anthropic credits sets a ceiling rather than a guaranteed amount, according to Crypto Briefing. The arrangement shows how government partnerships with AI developers now operate, with the companies offering access to their systems instead of direct funding.

Cyber Defence and the AI Security Institute

The package includes £130 million for two new cyber programmes, the National Cyber Shield and the National Exposure and Real-Time Vulnerability Centre, aimed at improving defences for critical infrastructure and the wider economy. Britain's National Cyber Security Centre will also receive an unspecified sum to expand its operations in Manchester.

A further £120 million goes to the government's existing AI Security Institute, which evaluates the risks of the most advanced AI models and was established by the former Conservative government in 2023. The allocation suggests the government now treats the institute as core infrastructure rather than a pilot, according to Crypto Briefing.

Research, Robotics and Regional Funding

Beyond security, the package spreads across several smaller allocations. A £60 million fund will invest in British companies using AI to advance robotics, autonomous systems and manufacturing, and a further £60 million will support AI research and procurement contracts.

An extra £23 million goes to research on the economic impact of AI, £18 million funds a new chip design academy, and £15 million supports a prize for AI solutions to public policy problems, initially focused on healthcare. Regional mayors will receive £30 million to support local AI initiatives.

Chancellor John Healey said "AI will transform daily life: every firm, community, hospital, school, and every aspect of our economy can benefit," pledging a "distinctively British approach to AI" that does not leave workers behind.

Industry Reaction and Private Sector Context

Jordan Cummins, a director at the CBI, said "The Chancellor is right to put security, resilience and trust at the heart of the UK's approach to AI." The announcement came ahead of the upcoming Budget, with NewsCord reporting the biosecurity lab forms part of Wednesday's Budget plans.

The government commitment follows private sector moves into UK AI safety. Earlier in October 2026, Nvidia committed $250 million to support AI safety research in the UK.

The scale of the spending also points to the resources required to build and secure advanced AI systems, according to StratNews Global. Reuters reported that Anthropic alone recorded more than $12 billion in operating expenses last year.

What the AI Security Funding Depends On

The effectiveness of the UK's funding package will depend on how the initiatives translate into practical threat detection, stronger cyber resilience and deployable security technologies, according to StratNews Global. The package reflects the government's effort to develop AI capabilities while strengthening safeguards against risks to public health, digital infrastructure and the economy.

The announcement builds on earlier work, notably the AI Security Institute formed in 2023, and extends it into biosecurity for the first time at this scale. For cybersecurity firms, the £130 million for national vulnerability and infrastructure programmes is expected to create procurement demand, according to Crypto Briefing.

Conclusion

Britain has committed approximately £600 million, or about $800 million, to AI security, with the new AI Biosecurity Lab receiving £100 million as the package's centerpiece and OpenAI and Anthropic adding up to £200 million in model credits. The funding spans pathogen countermeasures, cyber defence programmes, the AI Security Institute and research into AI's economic impact. The next concrete step is the upcoming Budget, where the biosecurity lab forms part of Wednesday's plans, while full details of the lab's role and remit are still to emerge.

Frequently Asked Questions

How much is the UK spending on AI security and what is the AI Biosecurity Lab?

The UK government has set out approximately £600 million, about $800 million, for AI security, biosecurity research, cyber defence and emerging technologies. The AI Biosecurity Lab, or AIBL, is a new organization described as the world's first dedicated to AI biosecurity, receiving £100 million to use AI in detecting and monitoring biological threats.

What are OpenAI and Anthropic contributing to the UK biosecurity lab?

OpenAI and Anthropic are contributing up to £200 million in AI model credits, meaning access to their systems rather than cash. The figure sets a ceiling rather than a guaranteed amount. Google DeepMind and London-based life sciences startup Basecamp Research will also assist the lab.

How much funding does the AI Security Institute receive in the October 2026 package?

The AI Security Institute receives an additional £120 million under the package. The institute, which evaluates the risks of the most advanced AI models, was established by the former Conservative government in 2023, and the new allocation suggests the government treats it as core infrastructure rather than a pilot.

What cyber defence programmes are included in the UK's £600 million package?

The package allocates £130 million to two new programmes, the National Cyber Shield and the National Exposure and Real-Time Vulnerability Centre, focused on improving cyber defences for critical infrastructure and the wider economy. The National Cyber Security Centre will also receive an unspecified sum to expand in Manchester.

When was the UK AI security funding announced and how does it relate to the Budget?

Reuters reported the funding was set out on Saturday, October 24, 2026. NewsCord reported that the £100 million AI Biosecurity Lab forms part of Wednesday's Budget, with the announcement coming ahead of that Budget.

Sources