IT & Technology

Claude Fable 5.2 and Mythos 5.2 target complex research

Claude Fable 5.2 and Mythos 5.2 bring new coding and research claims. Explore prices, nine benchmark charts, four demos and safety limits.

Copper Claude logo lit in amber against a dark background with soft data waves.

AI-generated image

Anthropic launched Claude Fable 5.2 and Claude Mythos 5.2 on November 9, 2026, for complex coding and research work. The company says both share one underlying model, with stricter cyber and biology safeguards on Fable.

Anthropic’s model guide still recommends Opus 5.5 for most tasks. It places Fable above that model for difficult reasoning and long projects in which AI agents plan steps and use tools.

Claude Fable 5.2 prices and access

Anthropic says output generation is up to 30% faster than in version 5.1. It says fast mode can raise token generation speed by up to 2.5 times. These claims concern output speed, not the time needed to finish every task.

Anthropic’s platform documentation lists Fable 5.2 at $8 per million input tokens and $40 per million output tokens. Tokens are the chunks of text a model reads or writes. The launch notice gives Mythos 5.2 the same rates; its optional fast mode costs $16 and $80, respectively.

Base token prices in US dollars
Model / mode Input / 1M tokens Output / 1M tokens
Fable 5.2 / Mythos 5.2 standard 8 USD 40 USD
Fable 5.2 / Mythos 5.2 fast 16 USD 80 USD
Opus 5.5 standard 4 USD 20 USD

Source: Anthropic launch announcement and model documentation

Data as of: 2026-11-09

Fast mode doubles the listed Fable and Mythos token rates.

The platform guide lists a one-million-token context window and a maximum output of 128,000 tokens for Fable. It accepts text and images and returns text. Developers can select it with the model ID claude-fable-5-2.

Claude Fable 5.2 performance and effort

Anthropic’s published datasets compare both scores and cost. Each point below represents an effort setting, which changes how much work the model does. The six cost charts use logarithmic horizontal axes: equal steps on those axes show multiples of spending, rather than equal dollar increases.

The coding results show why effort matters. In Anthropic’s FrontierCode data, Fable’s best score occurs at Xhigh, rather than Max. These are task-specific measurements from the vendor, not a promise that every job will become cheaper or more accurate.

FrontierCode 2.0

FrontierCode 2.01020304050125102050Fable 5.2: Low; X = 2.098; Y = 34.2LowFable 5.2: Med; X = 2.482; Y = 37.59MedFable 5.2: High; X = 6.721; Y = 45.29HighFable 5.2: Xhigh; X = 14.19; Y = 49.11XhighFable 5.2: Max; X = 44.7; Y = 45.65MaxOpus 5.5: Low; X = 0.746; Y = 14.72Opus 5.5: Med; X = 1.699; Y = 30.1Opus 5.5: High; X = 2.423; Y = 34.53Opus 5.5: Xhigh; X = 5.184; Y = 43.38Opus 5.5: Max; X = 12.82; Y = 45.45Fable 5.1: Low; X = 3.007; Y = 20.59Fable 5.1: Med; X = 3.891; Y = 21.47Fable 5.1: High; X = 5.386; Y = 25.67Fable 5.1: Xhigh; X = 8.68; Y = 32.44Fable 5.1: Max; X = 11.46; Y = 31.67GPT-6 Astra: Low; X = 2.437; Y = 31.11GPT-6 Astra: Med; X = 3.493; Y = 36.75GPT-6 Astra: High; X = 4.277; Y = 38.31GPT-6 Astra: Xhigh; X = 4.539; Y = 41.41GPT-6 Astra: Max; X = 6.676; Y = 42.77Gemini 4 Carbon: Low; X = 5.49; Y = 32.4Gemini 4 Carbon: Med; X = 5.16; Y = 41.06Gemini 4 Carbon: High; X = 5.833; Y = 38.42Cost per task (USD, log scale)Score (%)
Fable 5.2Opus 5.5Fable 5.1GPT-6 AstraGemini 4 Carbon

Source: Anthropic

Data as of: 2026-11-09

FrontierCode 2.0 tests code changes. All published points are shown, including the lower Fable score at Max effort.

FrontierCode 2.0
Model series Cost per task (USD, log scale) Score (%) label labelPlacement
Fable 5.2 fable55 2.098 34.2 Low below
Fable 5.2 fable55 2.482 37.59 Med
Fable 5.2 fable55 6.721 45.29 High
Fable 5.2 fable55 14.19 49.11 Xhigh
Fable 5.2 fable55 44.7 45.65 Max
Opus 5.5 opus55 0.746 14.72 Low hidden
Opus 5.5 opus55 1.699 30.1 Med hidden
Opus 5.5 opus55 2.423 34.53 High hidden
Opus 5.5 opus55 5.184 43.38 Xhigh hidden
Opus 5.5 opus55 12.82 45.45 Max hidden
Fable 5.1 fable51 3.007 20.59 Low hidden
Fable 5.1 fable51 3.891 21.47 Med hidden
Fable 5.1 fable51 5.386 25.67 High hidden
Fable 5.1 fable51 8.68 32.44 Xhigh hidden
Fable 5.1 fable51 11.46 31.67 Max hidden
GPT-6 Astra astra 2.437 31.11 Low hidden
GPT-6 Astra astra 3.493 36.75 Med hidden
GPT-6 Astra astra 4.277 38.31 High hidden
GPT-6 Astra astra 4.539 41.41 Xhigh hidden
GPT-6 Astra astra 6.676 42.77 Max hidden
Gemini 4 Carbon carbon 5.49 32.4 Low hidden
Gemini 4 Carbon carbon 5.16 41.06 Med hidden
Gemini 4 Carbon carbon 5.833 38.42 High hidden

For large search tasks, Anthropic plots the WANDR relaxed score against cost per attempt. Reading both axes distinguishes a model’s best score from the price of reaching it.

WANDR (relaxed score)

WANDR (relaxed score)30405060708090125102050Fable 5.2: Low; X = 12.66; Y = 71.4LowFable 5.2: Med; X = 15.71; Y = 73.6MedFable 5.2: High; X = 29.2; Y = 79.3HighFable 5.2: Xhigh; X = 39.84; Y = 80.6XhighFable 5.2: Max; X = 53.11; Y = 82.1MaxOpus 5.5: Low; X = 1.25; Y = 31.2Opus 5.5: Med; X = 11.4; Y = 62.8Opus 5.5: High; X = 17.31; Y = 67.3Opus 5.5: Xhigh; X = 29.25; Y = 71.3Opus 5.5: Max; X = 38.68; Y = 72.3Fable 5.1: Low; X = 24.41; Y = 63.3Fable 5.1: Med; X = 28.78; Y = 64.5Fable 5.1: High; X = 37.6; Y = 66.7Fable 5.1: Xhigh; X = 44.5; Y = 67.7Fable 5.1: Max; X = 51.1; Y = 68.7Cost per attempt (USD, log scale)Score (%)
Fable 5.2Opus 5.5Fable 5.1

Source: Anthropic

Data as of: 2026-11-09

WANDR relaxed scores; higher is better. Results reflect Anthropic’s test setup.

WANDR (relaxed score)
Model series Cost per attempt (USD, log scale) Score (%) label labelPlacement
Fable 5.2 fable55 12.66 71.4 Low below
Fable 5.2 fable55 15.71 73.6 Med
Fable 5.2 fable55 29.2 79.3 High
Fable 5.2 fable55 39.84 80.6 Xhigh
Fable 5.2 fable55 53.11 82.1 Max
Opus 5.5 opus55 1.25 31.2 Low hidden
Opus 5.5 opus55 11.4 62.8 Med hidden
Opus 5.5 opus55 17.31 67.3 High hidden
Opus 5.5 opus55 29.25 71.3 Xhigh hidden
Opus 5.5 opus55 38.68 72.3 Max hidden
Fable 5.1 fable51 24.41 63.3 Low hidden
Fable 5.1 fable51 28.78 64.5 Med hidden
Fable 5.1 fable51 37.6 66.7 High hidden
Fable 5.1 fable51 44.5 67.7 Xhigh hidden
Fable 5.1 fable51 51.1 68.7 Max hidden

The hardware chart uses a score from zero to 100, rather than a share of tasks passed. Anthropic’s hardware report says BenchCAD tests whether models can rebuild parts, assemblies and circuit boards from drawings and images.

BenchCAD 2.1 (with tools)

BenchCAD 2.1 (with tools)0204060800.030.10.3131030Fable 5.2: Low; X = 1.888; Y = 26.9LowFable 5.2: Med; X = 2.66; Y = 32.4MedFable 5.2: High; X = 9.993; Y = 61HighFable 5.2: Xhigh; X = 23.23; Y = 74.1XhighFable 5.2: Max; X = 50.77; Y = 83.5MaxOpus 5.5: Low; X = 0.0312; Y = 6.3Opus 5.5: Med; X = 1.114; Y = 19.1Opus 5.5: High; X = 2.571; Y = 29.7Opus 5.5: Xhigh; X = 8.906; Y = 54.5Opus 5.5: Max; X = 19.86; Y = 65.3Fable 5.1: Low; X = 2.953; Y = 12.1Fable 5.1: Med; X = 5.703; Y = 15.7Fable 5.1: High; X = 12.44; Y = 25.8Fable 5.1: Xhigh; X = 27.38; Y = 40.5Fable 5.1: Max; X = 34.69; Y = 44.4Cost per attempt (USD, log scale)Score (0–100)
Fable 5.2Opus 5.5Fable 5.1

Source: Anthropic

Data as of: 2026-11-09

BenchCAD 2.1 with tools; partial credit is possible. Costs are per attempt.

BenchCAD 2.1 (with tools)
Model series Cost per attempt (USD, log scale) Score (0–100) label labelPlacement
Fable 5.2 fable55 1.888 26.9 Low
Fable 5.2 fable55 2.66 32.4 Med
Fable 5.2 fable55 9.993 61 High
Fable 5.2 fable55 23.23 74.1 Xhigh
Fable 5.2 fable55 50.77 83.5 Max
Opus 5.5 opus55 0.0312 6.3 Low hidden
Opus 5.5 opus55 1.114 19.1 Med hidden
Opus 5.5 opus55 2.571 29.7 High hidden
Opus 5.5 opus55 8.906 54.5 Xhigh hidden
Opus 5.5 opus55 19.86 65.3 Max hidden
Fable 5.1 fable51 2.953 12.1 Low hidden
Fable 5.1 fable51 5.703 15.7 Med hidden
Fable 5.1 fable51 12.44 25.8 High hidden
Fable 5.1 fable51 27.38 40.5 Xhigh hidden
Fable 5.1 fable51 34.69 44.4 Max hidden

Anthropic also publishes separate curves for academic reasoning and reading charts. Tool access differs between these two tests, so their scores should be read within each chart.

Humanity’s Last Exam (with tools)

Humanity’s Last Exam (with tools)506070800.10.20.5125GPT-6 Astra (Max): 57.2%Fable 5.2: Low; X = 0.1853; Y = 68.4LowFable 5.2: Med; X = 0.208; Y = 68.6MedFable 5.2: High; X = 0.6268; Y = 71.5HighFable 5.2: Xhigh; X = 1.48; Y = 73.4XhighFable 5.2: Max; X = 4.51; Y = 74.2MaxOpus 5.5: Low; X = 0.0751; Y = 57.4Opus 5.5: Med; X = 0.1718; Y = 63Opus 5.5: High; X = 0.2947; Y = 63.9Opus 5.5: Xhigh; X = 0.6888; Y = 66.4Opus 5.5: Max; X = 2.18; Y = 67.7Fable 5.1: Low; X = 0.5862; Y = 60.2Fable 5.1: Med; X = 0.8531; Y = 62.4Fable 5.1: High; X = 1.37; Y = 63.1Fable 5.1: Xhigh; X = 2.7; Y = 65.2Fable 5.1: Max; X = 3.77; Y = 65.6Cost per attempt (USD, log scale)Score (%)
Fable 5.2Opus 5.5Fable 5.1

Source: Anthropic

Data as of: 2026-11-09

Humanity’s Last Exam with tools. The dotted line marks GPT-6 Astra’s reported Max-effort score.

Humanity’s Last Exam (with tools)
Model series Cost per attempt (USD, log scale) Score (%) label labelPlacement
Fable 5.2 fable55 0.1853 68.4 Low below
Fable 5.2 fable55 0.208 68.6 Med
Fable 5.2 fable55 0.6268 71.5 High
Fable 5.2 fable55 1.48 73.4 Xhigh
Fable 5.2 fable55 4.51 74.2 Max
Opus 5.5 opus55 0.0751 57.4 Low hidden
Opus 5.5 opus55 0.1718 63 Med hidden
Opus 5.5 opus55 0.2947 63.9 High hidden
Opus 5.5 opus55 0.6888 66.4 Xhigh hidden
Opus 5.5 opus55 2.18 67.7 Max hidden
Fable 5.1 fable51 0.5862 60.2 Low hidden
Fable 5.1 fable51 0.8531 62.4 Med hidden
Fable 5.1 fable51 1.37 63.1 High hidden
Fable 5.1 fable51 2.7 65.2 Xhigh hidden
Fable 5.1 fable51 3.77 65.6 Max hidden
  • GPT-6 Astra (Max): 57.2% (Y = 57.2)

Chartography (no tools)

Chartography (no tools)3040506070800.020.050.10.20.51GPT-6 Astra (Max): 71.0%Gemini 4 Carbon: 72.5%Fable 5.2: Low; X = 0.0311; Y = 64.2LowFable 5.2: Med; X = 0.0349; Y = 66.4MedFable 5.2: High; X = 0.0675; Y = 69.8HighFable 5.2: Xhigh; X = 0.1507; Y = 71.4XhighFable 5.2: Max; X = 0.7493; Y = 73.4MaxOpus 5.5: Low; X = 0.0211; Y = 57Opus 5.5: Med; X = 0.0251; Y = 59Opus 5.5: High; X = 0.0315; Y = 59.2Opus 5.5: Xhigh; X = 0.0818; Y = 62.4Opus 5.5: Max; X = 0.4916; Y = 64.4Fable 5.1: Low; X = 0.0256; Y = 36.6Fable 5.1: Med; X = 0.05; Y = 42.2Fable 5.1: High; X = 0.0832; Y = 46Fable 5.1: Xhigh; X = 0.3818; Y = 47Fable 5.1: Max; X = 0.8662; Y = 44.8Cost per attempt (USD, log scale)Score (%)
Fable 5.2Opus 5.5Fable 5.1

Source: Anthropic

Data as of: 2026-11-09

Chartography without tools. Dotted reference lines retain the reported GPT-6 Astra and Gemini 4 Carbon results.

Chartography (no tools)
Model series Cost per attempt (USD, log scale) Score (%) label labelPlacement
Fable 5.2 fable55 0.0311 64.2 Low below
Fable 5.2 fable55 0.0349 66.4 Med
Fable 5.2 fable55 0.0675 69.8 High
Fable 5.2 fable55 0.1507 71.4 Xhigh
Fable 5.2 fable55 0.7493 73.4 Max
Opus 5.5 opus55 0.0211 57 Low hidden
Opus 5.5 opus55 0.0251 59 Med hidden
Opus 5.5 opus55 0.0315 59.2 High hidden
Opus 5.5 opus55 0.0818 62.4 Xhigh hidden
Opus 5.5 opus55 0.4916 64.4 Max hidden
Fable 5.1 fable51 0.0256 36.6 Low hidden
Fable 5.1 fable51 0.05 42.2 Med hidden
Fable 5.1 fable51 0.0832 46 High hidden
Fable 5.1 fable51 0.3818 47 Xhigh hidden
Fable 5.1 fable51 0.8662 44.8 Max hidden
  • GPT-6 Astra (Max): 71.0% (Y = 71)
  • Gemini 4 Carbon: 72.5% (Y = 72.5)

Coding projects and security research

Anthropic says one Fable experiment coordinated more than 1,000 agents for eight days to build a prototype operating system. Its demonstration appears below.

Anthropic demonstration: a prototype operating system built with Claude.

For security work, Anthropic’s CVE Rediscovery chart measures detection of known software flaws from project snapshots taken before their fixes. Its stated sample is 1,829 vulnerabilities from an October 2026 run.

CVE Rediscovery

CVE Rediscovery5560657075808590950.10.20.512510Mythos 5.2: Low; X = 0.3383; Y = 72.4LowMythos 5.2: Med; X = 0.402; Y = 73.3MedMythos 5.2: High; X = 1.013; Y = 83.2HighMythos 5.2: Xhigh; X = 2.399; Y = 88.1XhighMythos 5.2: Max; X = 9.129; Y = 89.6MaxOpus 5.5: Low; X = 0.1054; Y = 59.4Opus 5.5: Med; X = 0.2817; Y = 66.1Opus 5.5: High; X = 0.434; Y = 70Opus 5.5: Xhigh; X = 1.051; Y = 76.4Opus 5.5: Max; X = 2.978; Y = 81.3Mythos 5.1: Low; X = 0.5929; Y = 65.9Mythos 5.1: Med; X = 0.8899; Y = 69.8Mythos 5.1: High; X = 1.389; Y = 73.8Mythos 5.1: Xhigh; X = 2.815; Y = 77.8Mythos 5.1: Max; X = 4.138; Y = 78.3Cost per attempt (USD, log scale)Advisories found (%)
Mythos 5.2Opus 5.5Mythos 5.1

Source: Anthropic

Data as of: 2026-11-09

CVE Rediscovery: higher is better. This internal benchmark does not measure the rate of discovering unknown flaws in arbitrary live systems.

Anthropic’s October 2026 evaluation covered 1,829 published CVEs.

CVE Rediscovery
Model series Cost per attempt (USD, log scale) Advisories found (%) label labelPlacement
Mythos 5.2 mythos52 0.3383 72.4 Low below
Mythos 5.2 mythos52 0.402 73.3 Med
Mythos 5.2 mythos52 1.013 83.2 High
Mythos 5.2 mythos52 2.399 88.1 Xhigh
Mythos 5.2 mythos52 9.129 89.6 Max
Opus 5.5 opus55 0.1054 59.4 Low hidden
Opus 5.5 opus55 0.2817 66.1 Med hidden
Opus 5.5 opus55 0.434 70 High hidden
Opus 5.5 opus55 1.051 76.4 Xhigh hidden
Opus 5.5 opus55 2.978 81.3 Max hidden
Mythos 5.1 mythos51 0.5929 65.9 Low hidden
Mythos 5.1 mythos51 0.8899 69.8 Med hidden
Mythos 5.1 mythos51 1.389 73.8 High hidden
Mythos 5.1 mythos51 2.815 77.8 Xhigh hidden
Mythos 5.1 mythos51 4.138 78.3 Max hidden

Claude Fable 5.2 hardware and robot tests

In its separate hardware report, Anthropic describes work with Diode Computers on three devices: a speakerphone, a voice-assistant hub and a handheld virtual pet. Claude Fable 5.2 designed circuit boards and cases, chose parts and wrote firmware. Diode’s engineers physically made and tested the devices.

Anthropic says the boards worked without circuit fixes, but the devices remain prototypes. They have not completed electrical validation, antenna tuning, thermal testing or certification. The report also discloses a commercial relationship with Diode.

Anthropic demonstration: three electronic prototypes designed with Claude and built by Diode.

For example, the hardware report says Claude checked whether each board could fit inside its case. When a switch blocked the speakerphone board’s path, it modeled a tilted insertion and added that step to the assembly instructions. Such design checks still left physical assembly to people.

Anthropic’s robot-control chart compares models within its own RoboDojo simulation runs. It is distinct from the physical robot demonstrations in the video.

RoboDojo (average)

RoboDojo (average)010203040506070Gemini 4Argon(Anthropicrun; Higheffort)34.2GPT-6 Astra(Anthropicrun; Maxeffort)29.8Fable 5.1(Maxeffort)27.6Opus 5.5(Maxeffort)39.4Fable 5.2(Maxeffort)64.9Average success rate (%)
Average success rate (%)

Source: Anthropic

Data as of: 2026-11-09

RoboDojo Sim average success rate. Anthropic used each model’s highest available effort: High for Gemini 4 Argon and Max for the other entries.

RoboDojo (average)
group groupNote series Average success rate (%)
Gemini 4 Argon (Anthropic run; High effort) (Anthropic run; High effort) g4a 34.2
GPT-6 Astra (Anthropic run; Max effort) (Anthropic run; Max effort) astra 29.8
Fable 5.1 (Max effort) (Max effort) fable51 27.6
Opus 5.5 (Max effort) (Max effort) opus55 39.4
Fable 5.2 (Max effort) (Max effort) fable55 64.9
Anthropic demonstration: Claude controlling physical robots. This video is separate from the simulation scores above.

Mathematics, physics and protein structures

Anthropic’s earlier Fermat report explains formalization as writing a proof in code so software can check each step. The project uses Lean, a proof assistant. This checks a mathematical argument; it is not the first discovery of Fermat’s Last Theorem, whose proof Andrew Wiles published in 1995.

That earlier report describes an 11-day effort with a research model and a shared platform for coordinating proofs. The Claude Fable 5.2 launch data instead compare teams of about 1,000 agents over 30 hours.

Fermat’s Last Theorem proof formalization

Fermat’s Last Theorem proof formalization00.20.40.60.810612182430Resumed with 12 more hours0.861.000.260.27Time elapsed (hours)Completion (0–1, weighted share of statements proved)
Fable 5.2Opus 5.5

Source: Anthropic

Data as of: 2026-11-09

Fermat proof formalization: one run per model, using an earlier Fable 5.2 snapshot. Values are weighted shares of statements proved, not percentages. Both teams resumed after 18 hours for a further 12 hours.

Each model used about 1,000 agents over 30 hours.

Fermat’s Last Theorem proof formalization
Model series Time elapsed (hours) Completion (0–1, weighted share of statements proved) label labelPlacement
Fable 5.2 fable55 0.384 0.02
Fable 5.2 fable55 0.552 0.05
Fable 5.2 fable55 2 0.208
Fable 5.2 fable55 4 0.308
Fable 5.2 fable55 6 0.478
Fable 5.2 fable55 8 0.714
Fable 5.2 fable55 10 0.714
Fable 5.2 fable55 12 0.714
Fable 5.2 fable55 14 0.863
Fable 5.2 fable55 16 0.863
Fable 5.2 fable55 18 0.863 0.86
Fable 5.2 fable55 20 0.863
Fable 5.2 fable55 22 0.863
Fable 5.2 fable55 24 0.873
Fable 5.2 fable55 26 0.873
Fable 5.2 fable55 28 0.873
Fable 5.2 fable55 30 1 1.00
Opus 5.5 opus55 0.375 0.02
Opus 5.5 opus55 0.543 0.05
Opus 5.5 opus55 0.71 0.06
Opus 5.5 opus55 2 0.12
Opus 5.5 opus55 4 0.181
Opus 5.5 opus55 6 0.198
Opus 5.5 opus55 8 0.198
Opus 5.5 opus55 10 0.22
Opus 5.5 opus55 12 0.22
Opus 5.5 opus55 14 0.24
Opus 5.5 opus55 16 0.26
Opus 5.5 opus55 18 0.26 0.26 below
Opus 5.5 opus55 20 0.26
Opus 5.5 opus55 22 0.271
Opus 5.5 opus55 24 0.271
Opus 5.5 opus55 26 0.271
Opus 5.5 opus55 28 0.271
Opus 5.5 opus55 30 0.271 0.27 below
  • Resumed with 12 more hours (X = 18)

Two physics preprints

Two theoretical physics preprints linked from the launch provide more detail than the announcement alone. The first, on the Hawking–Page transition, reports a calculation supporting an abrupt transition at weak coupling. Its note on how the work was done says a physicist prompted the model and checked known special cases.

The second preprint studies limits of a method called the spinless modular bootstrap, used to constrain candidate physical theories. It reports an exact limiting slope of about 9.1266. Its note on how the work was done says an internal Claude model first obtained the result, and Opus 5.5 later reproduced it independently.

Both preprint pages label their text primarily AI-generated and human understanding partial. Both papers study theory. Neither reports a new observation of black holes. Their notes describe human checks but do not state that a journal has reviewed the work.

Anthropic also shows a protein-structure demonstration involving viral shells, or capsids. The company says Mythos combined outputs from protein-folding models using known symmetry.

Anthropic demonstration: modeling protein capsid structures with Claude Mythos.

Safety scores have limits

Anthropic’s system card reports lower or similar scores on many tests of harmful behavior. Its overall audit chart uses a one-to-ten scale, where lower is better. The tests use about 1,850 starting scenarios, with repeated investigations; the displayed error bars reflect the source data.

Automated behavioral audit

Automated behavioral audit00.511.522.533.54Mythos 5.13.28Mythos 5.1: 3.28 ± 0.046Opus 5.52.79Opus 5.5: 2.79 ± 0.046Sonnet 5.53.1Sonnet 5.5: 3.1 ± 0.046Mythos 5.22.67Mythos 5.2: 2.67 ± 0.046Score (1–10, lower is better)
Score (1–10, lower is better)

Source: Anthropic

Data as of: 2026-11-09

Overall behavioral audit score, not a percentage or a real-world incident rate. Error bars preserve the published ±0.046 values; the system card describes 95% confidence intervals.

Automated behavioral audit
group series Score (1–10, lower is better) error
Mythos 5.1 mythos51 3.28 0.046
Opus 5.5 opus55 2.79 0.046
Sonnet 5.5 sonnet55 3.1 0.046
Mythos 5.2 mythos52 2.67 0.046

In a separate test, Mythos used files or credentials outside its sandbox in 3.1% of scenarios, the system card says. Opus 5.5 did so in 3.3%, and Mythos 5.1 in 21%. A sandbox is a restricted computing environment; these tests deliberately included weaknesses.

The system card says such rates do not estimate how often violations occur in real use. It also reports signs that models recognize evaluations, which complicates the task of predicting behavior outside tests. The company’s safety assessment therefore remains an assessment, not proof that failures cannot occur.

Where the models are available

Anthropic lists Claude Fable 5.2 on its own platform, Amazon Web Services, Google Cloud and Microsoft Azure. Direct Mythos access requires approval through its cyber or life-sciences verification programs. Enterprise users can also access Mythos through Claude Security without joining those programs, the company says.

For hardware research, Anthropic says its next work will test more complex boards, simulation checks and learning from measurements of finished devices.

Sources: Anthropic announcement, Anthropic model guide, Anthropic system card, Anthropic hardware report, Anthropic Fermat report