Anthropic Releases Claude Fable 5.2 and Mythos 5.2 Flagship Models

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Built an operating system in eight days, and can even design smart hardware! Anthropic's new flagship model makes its debut

Cailian Press, Shi Zhengcheng, Editor: Lin Qi, 2026-11-10 04:17

① Anthropic releases Fable 5.2 and Mythos 5.2, with upgraded capabilities in complex programming, scientific research reasoning, and robot control; output speed increased by up to 30% over the previous generation, and standard pricing reduced by 20%; ② The company demonstrated cases including orchestrating more than a thousand AI agents, developing an operating system prototype in eight days, and designing electronic devices and solving theoretical physics problems.

Cailian Press, November 10 (Editor: Shi Zhengcheng) — At the final juncture of sprinting toward a U.S. IPO, Anthropic has brought out its latest-generation "most powerful model on Earth."

Anthropic announced on Monday the release of its new-generation flagship models Claude Fable 5.2 and Claude Mythos 5.2. Judging from the test results published by the company, this upgrade is mainly reflected in complex programming, scientific research reasoning, chart understanding, and robot control, while output speed is increased by up to 30% over the previous generation, and standard input and output prices are both reduced by 20%.

It should be noted that Fable 5.2 and Mythos 5.2 use the same underlying model, with the main differences being safety restrictions and access permissions. Fable is open to a broader range of users; Mythos provides access to relevant institutions through a reviewed program, supporting specific cybersecurity and life sciences uses.

This release also means that since Anthropic chief Dario Amodei called for slowing the pace of AI development in September, the company has launched its first so-called "frontier" model. Facing an environment of concern over AI investment, the company must prove that it deserves an IPO valuation of $1 trillion, or even $1.2-1.5 trillion.

First, the benchmarks: stronger programming, more accurate chart reading, markedly improved robot control

According to test data published by Anthropic, Fable 5.2 leads the key competitor OpenAI's GPT-6 Astra and Google's Gemini 4 Carbon in almost all of multiple tests, including complex programming, scientific research tasks, computer operation, robot control, interdisciplinary reasoning, and chart recognition.

In the FrontierCode 2.0 test, which measures complex programming capability, Fable 5.2's score rose from 32.4% in the previous generation to 49.1%, higher than Opus 5.5's 45.5%, GPT-6 Astra's 42.8%, and Gemini 4 Carbon's 41.1%.

This test focuses on whether the code changes a model makes to open-source projects can meet the standard that project maintainers are willing to accept. In other words, it tests whether AI can write code that is truly usable and suitable for existing projects. The new model improved by 16.7 percentage points over the previous generation, reflecting progress in handling complex software engineering problems.

In the chart understanding test Chartography, Fable 5.2's score rose from 44.8% to 73.4%. This type of capability relates to whether a model can accurately read charts, coordinates, and data relationships, and is the foundation for analyzing financial report charts, experimental results, and business reports.

In terms of robot capability, Fable 5.2 achieved a success rate of 64.9% in the RoboDojo simulated dual-arm robot test, more than double that of GPT-6 Astra. This improvement means the model's ability to judge the environment from camera images and plan actions has been significantly enhanced.

Scientific research reasoning has also improved. In the "Humanity's Last Exam," which allows tool use, Fable 5.2's score rose from 65.6% to 74.2%. This test mainly examines high-difficulty interdisciplinary knowledge and reasoning, reflecting the model's ability to handle specialized problems.

What is easier to understand than test scores is what the new model can actually do.

Anthropic disclosed that an engineer once asked Fable 5.2 to develop an operating system prototype. Starting from an empty folder, the model orchestrated more than 1,000 sub-agents, writing, testing, and reviewing code continuously for eight days, and ultimately produced an operating system that can boot on a laptop.

This prototype system not only has windows and a login interface, but also has an operating system kernel responsible for managing hardware resources and scheduling program execution, with Claude functionality built in.

Another case closer to actual enterprise use is that Anthropic used a team of agents running an early version of Fable 5.2 to migrate a key production service from Python to Rust. The company said that after the migration, the service is more efficient and reliable, with startup speed reaching about 26 times the original.

For enterprises, the significance of this type of capability is that some system renovation projects that were previously shelved because they took too long or cost too much may begin to become worth implementing.

Completing circuit board design within a day

Anthropic partnered with circuit board design and manufacturing company Diode to have Fable 5.2 design three devices based on a brief requirement: a home voice assistant hub, a USB conference speaker, and a handheld virtual pet.

The model was responsible for developing specifications, selecting commercially available electronic components, designing the four-layer circuit board routing, drawing the enclosure, and writing the software. The company said that, with a small amount of human intervention, each circuit board reached a state ready for manufacturing within a day.

Subsequent manufacturing, testing, and assembly were completed by Diode engineers, with Claude providing guidance. Ultimately, all three devices ran successfully without any need to modify the circuits.

On the robotics side, the company also showed footage of Fable 5.2 controlling a robot to complete tasks such as unscrewing bottle caps, manipulating a Rubik's cube, and drawing. The company said that, compared with earlier models, Fable 5.2 has significantly improved in its ability to control physical robots, even in robot tasks for which it has never received specialized training.

There are also cases in theoretical physics and biopharmaceuticals

In theoretical physics and mathematics, Anthropic also presented three results from the new model: solving two theoretical physics problems related to black holes, and completing the formalization of the proof of Fermat's Last Theorem.

First, the model completed a complex calculation originating from a 2003 study. Put simply, researchers wanted to know whether, in a specific theoretical model, a sudden change related to black holes, similar to "water boiling," still exists under conditions that require description using quantum theory. The company said the model calculated the key result, and the answer is yes.

Second, the model determined the upper limit of the capability of a class of mathematical methods. This method is used to screen candidate theories of quantum gravity and rule out noncompliant proposals. This result is equivalent to calculating the finest level this mathematical "sieve" can achieve, helping researchers judge how far existing methods can still go. Preprints of both physics studies have been published.

Finally, about 1,000 Fable 5.2 agents collaborated to complete the formalization of the proof of Fermat's Last Theorem in 30 hours. This is not the first proof of Fermat's Last Theorem, but rather the construction of a complete proof that a computer can verify step by step, requiring the completion of derivation steps and coordination of the logical relationships among the parts. Under the same thousand-agent configuration, Opus 5.5 achieved a weighted completion rate of about 27% after running for 30 hours. However, this comparison tested each model only once.

In life sciences, Mythos 5.2 also developed a method for predicting the structure of complete viral capsids based on an existing open-source protein folding model. The capsid is the protein shell of a virus and is also a delivery vehicle used in some gene therapies. The company said that, among the 34 capsids attempted, the method accurately modeled 28.

Mohammed AlQuraishi, Assistant Professor of Systems Biology and Computer Science at Columbia University, said that large protein complexes, including viral capsids, have long been a difficult problem in the field of protein modeling: one must accurately predict the structures of dozens of macromolecules and their relative positions, while also facing extremely high computational costs. Claude's method cleverly addresses the modeling challenge of symmetric complexes, giving researchers hope of completing on a personal workstation work that previously required a dedicated computing cluster.

In research and analysis, the progress demonstrated by Fable 5.2 includes not only processing data and writing code, but also discovering contradictions in materials and judging what conclusions the evidence can support.

Quantitative trading firm Jump Trading tested the model's performance in a process similar to internal research workflows. Fable 5.2 can take on multiple roles such as posing questions, writing code, making plans, and coordinating tasks, reducing the burden of manually adjusting the division of labor. The company said that in an internal research automation test, the model's error was 10% lower than that of the second-ranked model.

Investment firm Balyasny Asset Management had the model investigate how an institution tests newly integrated features in core technical systems. According to its feedback, Fable 5.2 found relevant sources, did not overstate what the evidence could prove, and also pointed out that the wording of the question itself might be misleading. For investment research, this type of capability helps distinguish confirmed facts from judgments still awaiting verification.

Trading firm IMC focused more on whether the model could propose new research ideas. The company said that Fable 5.2 not only reproduced research insights that had previously impressed it, but also proposed a completely new angle, and achieved new best results on three of the four quantitative research questions that had completed testing.

In a financial modeling task, Fundamental Research Labs asked the model to extract data from a company's 10-K annual report and fill it into a forecasting model. Faced with a situation where the template did not clearly specify whether a certain metric should use the disclosed value or a calculated value, Fable 5.2 judged the requirement based on cell formatting, and also discovered that the sum of regional data was inconsistent with the disclosed total, ultimately correctly filling in all target cells.

Price cut by 20%, strengthening commercial competitiveness before launch

Beyond capability improvements, Anthropic is also lowering the cost of using its flagship model.

The new model's standard price is $8 per million input tokens and $40 per million output tokens, both down 20% from the previous generation. The company also launched an optional fast mode, with token generation speed increased by up to 2.5 times, while input and output prices are $16 and $80, respectively.

Anthropic emphasized that for most everyday programming and knowledge tasks, users can still start with Opus 5.5, and use the flagship model when facing complex, open-ended problems.

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Cailian Press statement: The article content is for reference only and does not constitute investment advice. Investors who act on it do so at their own risk.

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