Claude Mythos: Capabilities, Pricing, Access, & Security Risks

Published on
July 29, 2026
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What happens when the same AI that helps security teams uncover software flaws can also autonomously validate vulnerabilities and complete multi-stage attack workflows?

Claude Mythos is Anthropic’s restricted frontier model for advanced coding, cybersecurity, and scientific research. 

Its capabilities drew attention after Anthropic reported that Mythos Preview and roughly 50 Project Glasswing partners had identified more than 10,000 high- or critical-severity vulnerabilities (Source).

By May 22, 2026, 1,596 findings across 281 open-source projects had entered coordinated disclosure, with 97 already patched (Source).

Independent testing reinforced those concerns. 

The UK AI Security Institute found that Mythos Preview completed a 32-step simulated corporate-network attack in 3 of 10 attempts and averaged 22 completed steps, well ahead of the next-best model in that evaluation (Source).

Anthropic has since introduced Claude Mythos 5, but access remains limited to vetted partners because the same capabilities that strengthen cyber defense could also accelerate misuse. This guide explains what Claude Mythos can do, how it compares with other Claude models, and the risks organizations must evaluate before adoption.

What is Claude Mythos?

Claude Mythos is Anthropic’s restricted model family for advanced cybersecurity, coding, and scientific research. The current version, Claude Mythos 5, launched on June 9, 2026, as the successor to the invitation-only Claude Mythos Preview.

The model combines:

  • A one-million-token context window
  • Long-horizon reasoning
  • Code execution and tool use
  • Multi-step agentic capabilities

Mythos 5 shares its underlying capabilities, specifications, and pricing with the more broadly available Claude Fable 5. The main difference is how the models handle sensitive requests:

  • Claude Fable 5 applies additional safety classifiers that may refuse high-risk cybersecurity or biology tasks.
  • Claude Mythos 5 does not use those same classifiers, allowing approved researchers to perform more sensitive investigations.

Because of this distinction, Claude Mythos is not designed as a general-purpose chatbot or everyday coding assistant. It is intended for approved organizations operating within controlled research and security environments.

What is Project Glasswing and How Does it Control Claude Mythos Access?

Project Glasswing is Anthropic’s trusted-access program for applying frontier AI to the security of critical software and infrastructure. It provides qualified organizations with controlled access to Claude Mythos for defensive research.

The program initially included organizations such as AWS, Apple, Cisco, CrowdStrike, Google, Microsoft, NVIDIA, and the Linux Foundation. Organizations cannot access Claude Mythos 5 through a public signup or self-service portal. Access must be requested through an Anthropic, AWS, or Google Cloud account team and is granted only to organizations that meet Anthropic’s security requirements.

Claude Mythos Capabilities: What Can it Do?

Claude Mythos can combine code analysis, reasoning, tool use, and execution to investigate complex software and security problems. Instead of only suggesting possible weaknesses, it can test its findings and produce evidence for expert review.

1. Find and Validate Previously Unknown Software Vulnerabilities

Claude Mythos can inspect source code for previously unknown vulnerabilities, including flaws that require contextual reasoning and active testing to confirm.

A vulnerability investigation may involve:

  • Reviewing source code for suspicious behavior
  • Forming hypotheses about how a flaw could be triggered
  • Running the affected software in an isolated environment
  • Using debugging and diagnostic tools
  • Testing alternative explanations
  • Producing reproduction steps for confirmed findings

This process helps separate valid vulnerabilities from speculative observations. In Anthropic’s initial open-source review, independent security firms assessed 1,752 high- or critical-rated findings from Mythos Preview and confirmed 90.6% as valid vulnerabilities (Source).

2. Analyze Large Codebases Through Long-Horizon Workflows

Mythos can maintain context across files, components, tools, and repeated testing cycles. This allows it to investigate software systems that cannot be understood through a single prompt or isolated code snippet.

Its workflow may include:

  • Mapping an unfamiliar repository
  • Tracing data flow across components
  • Reviewing dependencies and security-sensitive functions
  • Running tests and analyzing failures
  • Using debugging and code-execution tools
  • Revising the investigation as new evidence appears

These capabilities support investigations that require multiple rounds of analysis, experimentation, and validation.

3. Generate Proofs of Concept, Patches, and Remediation Guidance

After confirming a vulnerability, Mythos can create a controlled proof of concept for authorized testing. It can also analyze security patches, suggest code changes, and generate tests for verifying whether a fix works.

Anthropic reported that Mythos Preview autonomously produced eight working code-execution exploits from 18 recent Firefox security patches. Project Glasswing participants have also used the model to develop patches and perform pre-release security checks (Source).

Its outputs may include:

  • A technical explanation of the vulnerability
  • Reproduction and validation steps
  • Suggested code changes
  • Patch-verification tests
  • Remediation guidance for maintainers

Generated exploits, patches, and remediation advice still require review by qualified security professionals before use or deployment.

4. Identify Cryptographic Weaknesses and Support Scientific Research

Claude Mythos can investigate weaknesses in mathematical algorithms as well as software implementations.

In July 2026, Anthropic reported that Mythos Preview:

  • Improved a known attack against HAWK, a proposed post-quantum signature scheme
  • Developed an attack on a seven-round version of AES that was estimated to be 200–800 times faster than the previous approach

Neither finding affects currently deployed production systems. HAWK is not yet deployed, while the AES result applies to a reduced-round version rather than the full cipher. However, the research indicates that Mythos can contribute to cryptanalysis in addition to conventional vulnerability discovery (Source).

Claude Mythos 5 Specifications, Pricing, Data Retention, and Access

Claude Mythos 5 uses the API model ID claude-mythos-5. Its technical specifications and token pricing match Claude Fable 5, but access is limited to organizations approved through Project Glasswing.

Specification Claude Mythos 5
Model ID claude-mythos-5
Context Window 1 million tokens
Maximum Output Up to 128,000 tokens
Input Price $10 per million tokens
Output Price $50 per million tokens
Adaptive Thinking Always enabled
Data Retention Prompts and outputs retained for 30 days
Availability Approved Project Glasswing customers only

The 30-day data-retention requirement is an important consideration for organizations handling proprietary code, internal architecture, regulated information, or other sensitive data. Claude Mythos 5 is not eligible for zero-data-retention arrangements, so security, privacy, and legal teams should review the applicable data-handling terms before adoption.

There is no public signup or standard API activation process. Eligible organizations must request access through their Anthropic, AWS, or Google Cloud account team and satisfy Project Glasswing’s approval requirements.

Claude Mythos 5 vs Fable 5 vs Opus 5 vs Mythos Preview

Claude Mythos 5 and Claude Fable 5 share the same underlying model, technical specifications, and pricing. The main difference is that Fable 5 applies additional classifiers to sensitive cybersecurity and biology requests, while Mythos 5 provides approved Project Glasswing researchers with access to capabilities those classifiers may block.

Model Best Suited For Safeguards and Availability Context and Output Price per Million Tokens
Claude Mythos 5 Approved for defensive cybersecurity and sensitive research Shares Fable 5's capabilities but omits Fable's cyber/biology safety classifiers; available only through Project Glasswing 1M-token context; up to 128K output $10 input; $50 output
Claude Fable 5 Long-horizon agents, advanced reasoning, coding, and demanding knowledge work Includes additional cyber and biology classifiers; generally available 1M-token context; up to 128K output $10 input; $50 output
Claude Opus 5 Complex agentic coding and enterprise workflows Uses Anthropic's standard safety system; generally available 1M-token context; up to 128K output $5 input; $25 output
Claude Mythos Preview Early research into advanced cyber, reasoning, and autonomous-agent capabilities Invitation-only research preview; deprecated and replaced by Mythos 5 Legacy model Not available for new integrations
Note on Fable 5 availability: Fable 5 and Mythos 5 were temporarily suspended on June 12, 2026, after U.S. export controls were introduced following concerns about bypassing Fable’s safeguards. The controls were lifted on June 30, and Fable 5 was redeployed globally on July 1 with an updated classifier. Mythos 5 was also restored, but access remained limited to approved Project Glasswing organizations (Source).

Which Claude Model Should Developers Use?

The right model depends on the workload, access requirements, and level of security control needed:

  • Choose Claude Opus 5 for complex coding, repository analysis, enterprise agents, and advanced reasoning when specialized cybersecurity access is unnecessary.
  • Choose Claude Fable 5 for demanding, long-running agentic workflows that can operate within its stricter cybersecurity and biology safeguards.
  • Use Claude Mythos 5 only for approved defensive-security or scientific research that requires capabilities restricted by Fable’s classifiers.
  • Do not start new integrations with Claude Mythos Preview. Existing implementations should migrate to Mythos 5 or Fable 5.

For most development teams, Claude Opus 5 is the most practical option because it is generally available and costs less per token than Fable 5 or Mythos 5.

Claude Mythos Limitations, Cybersecurity Risks, and Enterprise Concerns

Claude Mythos can accelerate defensive security research, but its autonomy and access to sensitive tools pose risks that organizations must manage before deployment.

1. Dual-Use Capabilities and Misuse Risks

Mythos can identify vulnerabilities, validate exploitability, generate proofs of concept, and support multi-stage investigations. These capabilities can help defenders secure software, but they could also be misused to discover or exploit weaknesses.

Anthropic restricts Mythos access because current safeguards may not reliably distinguish every legitimate defensive request from a harmful one. Organizations must therefore ensure that the model is used only by authorized teams for approved purposes.

2. Autonomous Cybersecurity Workflow Risks and Controls

The risk increases when Mythos can execute code, access networks, use credentials, or modify repositories without continuous human review.

Organizations should apply controls such as:

  • Least-privilege tool and data access
  • Isolated testing environments
  • Human approval for sensitive actions
  • Restrictions on production systems
  • Complete logging of prompts, outputs, and tool calls
  • Emergency shutdown procedures

These safeguards help limit the impact of incorrect decisions, unintended actions, or compromised workflows.

3. False Positives, Triage Bottlenecks, and Remediation Overload

Anthropic reported that Project Glasswing’s main bottleneck shifted from discovering vulnerabilities to processing the volume of findings produced by AI systems.

Security teams still need to:

  • Remove duplicate or low-priority findings
  • Confirm whether a flaw is practically exploitable
  • Evaluate its business impact
  • Coordinate responsible disclosure
  • Test patches before deployment

Without an effective triage process, faster discovery can create a larger remediation backlog rather than immediately improving security.

4. Data Retention, Privacy, and Operational Constraints

Claude Mythos does not support zero-data-retention arrangements, making data handling an important enterprise concern. Organizations should assess whether workflows may expose:

  • Proprietary source code
  • Credentials or authentication tokens
  • Customer or regulated information
  • Internal architecture
  • Undisclosed vulnerabilities

Long-running investigations can also create substantial token costs and require secure infrastructure for code execution, monitoring, and expert review. Organizations should examine the platform's retention and processing terms through which Mythos is accessed.

5. Controlled Benchmark Results vs Real-World Security Environments

The UK AI Security Institute reported that Mythos Preview completed a 32-step simulated corporate-network attack in three of ten attempts and averaged 22 completed steps. However, the evaluation did not include several protections commonly found in secured production environments, such as active defenders, endpoint controls, and monitoring systems.

The results demonstrate advanced autonomous capability, but they do not prove that Mythos can compromise every hardened enterprise network. Organizations should treat benchmark results as evidence of potential capability, not as a direct prediction of real-world attack success.

Claude Mythos should be deployed as a supervised security-research system, not as an autonomous replacement for security engineers.

Conclusion: Claude Mythos and the Future of AI Cybersecurity

Claude Mythos shows how frontier AI can move cybersecurity beyond static code review toward continuous vulnerability discovery, validation, and remediation. Its ability to investigate large codebases and carry out long-running workflows could help defenders identify weaknesses faster, but the same capabilities also create serious misuse, privacy, and governance risks.

Restricted access through Project Glasswing reflects the difficulty of balancing defensive value with potential harm. For enterprises, the key issue is not only whether Claude Mythos is capable, but whether it can be used within secure infrastructure, clear permission boundaries, and reliable human oversight.

Mythos is unlikely to replace security professionals. Instead, it signals a future where human experts supervise increasingly autonomous AI systems while remaining responsible for validation, prioritization, and final security decisions.

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FAQs

Is Claude Mythos Available to the Public?

No. Claude Mythos 5 is available only to organizations approved through Project Glasswing. Individual developers and standard API customers cannot access it through a public signup or self-service console.

Why is Claude Mythos Considered a Cybersecurity Risk?

Claude Mythos can discover vulnerabilities, validate exploits, execute code, and complete multi-stage cybersecurity workflows. These capabilities can support defenders, but they could also be misused to identify and exploit weaknesses.

How Can Organizations Get Access to Claude Mythos?

Organizations must request access through their Anthropic, AWS, or Google Cloud account team. Anthropic then evaluates whether the organization and proposed use case meet Project Glasswing’s security requirements.

Can Individuals or Developers Use Claude Mythos?

You can use Claude Mythos only if your organization has been approved for Project Glasswing. Most developers cannot access it directly and may use Claude Fable 5 or Claude Opus 5 instead.

Can Enterprises Safely Use Claude Mythos?

Enterprises can reduce risk by using isolated environments, restricting network and tool permissions, logging agent activity, and requiring human approval for sensitive actions. They must also assess the model’s data-retention requirements before submitting sensitive information.

How Much Does Claude Mythos 5 Cost?

Claude Mythos 5 costs $10 per million input tokens and $50 per million output tokens. Prompt-cache hits cost $1 per million tokens. Paying the usage fees does not guarantee access because organizations must first receive Project Glasswing approval.