Anthropic•Rank #2NEW

Claude Mythos 5.2

Proprietarygeneralreasoningcodingcybersecurity

Leaderboard Score

70.8

Scale: 0 - 100

Throughput Speed

80 tps

Context Window

API Pricing / 1M

.00

Parameter Scale

Proprietary

Monthly API Cost Calculator

Claude Mythos 5.2 rates: $12/1M input • $60/1M output. Pick a workload preset or enter your own token volumes.

Monthly input (M tokens)Monthly output (M tokens)

Same workload on published-rate alternatives

GPT-5.2 Pro (OpenAI)

GPT-Rosalind-6 (OpenAI)

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Estimates use listed API rates at time of writing; providers may differ in caching discounts, rate limits, and batching pricing.

Sourced AI Radar & Benchmarks•9 Evaluated Metrics

Capability Radar & Benchmark Scores

Multi-Axis Capability Radar

Comparing Claude Mythos 5.2 against Frontier Top 10 & Open-Source average

0 - 100 Scale

Claude Mythos 5.2

Frontier Top 10 Avg

Open-Source Avg

Performance Vectors

Where Claude Mythos 5.2 Leads

Coding & SWETop 10: 79.2% • OS: 51.6%

84.0%+4.8% vs Top 10

Reasoning & MathTop 10: 94.6% • OS: 54.3%

96.5%+1.9% vs Top 10

Agent & Tool AutomationTop 10: 80.3% • OS: 37.4%

89.3%+9.0% vs Top 10

Terminal & CLI ExecutionTop 10: 63.5% • OS: 45.8%

70.0%+6.5% vs Top 10

MMLU & Knowledge QATop 10: 50% • OS: 86.7%

88.5%+38.5% vs Top 10

Cyber & Security ExploitsTop 10: 87.3% • OS: 81.2%

67.3%-20.0% vs Top 10

All Verified Benchmark Evaluations

Direct Pass@1 and resolution rates across standardized evaluations.

OverallCodingReasoningAgenticTerminal

Featured Compute Platform

Run Benchmarks on Dedicated AI Clusters

Zero-cold-start inference endpoints with dedicated GPU instances.

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Executive Analysis & Verdict

Claude Mythos 5.2 by Anthropic is a specialized frontier reasoning and red-team intelligence model ranking #2 globally with a 70.8 overall score, 89.6% CVE rediscovery, and 76.3% CyScenarioBench.

Key Strengths & Highlights

•Unmatched defensive cybersecurity with 89.6% CVE Rediscovery and 76.3% on CyScenarioBench
•Cutting-edge life sciences capabilities with 85.1 on de novo protein binder design (24 hr)
•Exceptional scientific problem-solving with 75.3% on Terminal-Bench-Science 0.1

Limitations & Considerations

•Access restricted to verified red-team partners and qualified security research organizations

Recommended Workflows

Defensive cybersecurity auditing, automated zero-day vulnerability analysis, and protein/de-novo binder engineering

Architectural Overview & Capability Profile

Claude Mythos 5.2 represents Anthropic’s frontier-capability model engineered with modified safeguards and specialized training for high-stakes research domains, including automated cybersecurity auditing, biological safety evaluation, and de novo molecular engineering. On the comprehensive RankLLMs benchmark index, Claude Mythos 5.2 records an overall rating of 70.8 / 100, securing #2 globally behind Gemini 4 Carbon.

Operating under Anthropic’s verified research access tiers, Mythos 5.2 shares the core 1-million-token architectural foundation of Fable 5.2, but incorporates domain-specific fine-tuning allowing it to safely analyze, reproduce, and remediate high-severity Common Vulnerabilities and Exposures (CVEs) without false-positive refusal loops.

Specialized Frontier Benchmarks: Cybersecurity & Protein Design

Evaluations published alongside the model release highlight significant advantages over previous-generation models:

Defensive Cybersecurity & Vulnerability Remediation:
- CVE Rediscovery: Achieves a standout 89.6%, compared to 78.3% for Mythos 5.1 and 81.3% for Opus 5.5 (without safeguards).
- CyScenarioBench: Scores 76.3%, outperforming Mythos 5.1 (61.7%), Opus 5.5 (67.6%), and OpenAI’s GPT-6 Cyber (61.0%).
Computational Biology & Protein Engineering:
- De Novo Binder Design (24 hr): Reaches 85.1, advancing over Mythos 5.1 (79.1) and Opus 5.5 (82.6) in automated macromolecular folding and ligand binding prediction.
Scientific Reasoning & Autonomous Coding:
- Terminal-Bench-Science 0.1: Leads all models at 75.3%, outpacing Fable 5.2 (74.6%), GPT-6 Astra (68.1%), and Gemini 4 Carbon (64.8%).
- Humanity’s Last Exam (with tools): Reaches 75.0%, demonstrating elite postgraduate interdisciplinary mastery.

Availability & Access Governance

Claude Mythos 5.2 is governed under Anthropic’s Responsible Scaling Policy (RSP) verification protocols:

Target Audience: Dedicated security response centers, critical infrastructure defense teams, and biological research institutions.
Pricing: Positioned at $12.00 per 1M input tokens and $60.00 per 1M output tokens.

Frequently Asked Questions About Claude Mythos 5.2

What is Claude Mythos 5.2 and who developed it?↓

Claude Mythos 5.2 is a proprietary large language model developed by Anthropic. It ranks #2 on the RankLLMs composite leaderboard, ahead of 99% of the 104 models we track, with an overall score of 70.8 / 100.

Can Claude Mythos 5.2 handle very long documents and codebases?↓

Claude Mythos 5.2 supports a 1.0M-token input context window and generates about 80 tps tokens per second in our reference measurements and which is enough to hold entire repositories, long transcripts, or multi-document research sets in a single session..

Why does Claude Mythos 5.2 cost more than most alternatives?↓

Claude Mythos 5.2 sits in the premium tier at .00 per 1M tokens - cheaper than only 97% of priced models we track. That pricing buys frontier-tier benchmark results; the cost-per-solved-task math in our best-coding-LLM guide shows when it pays off.

What is Claude Mythos 5.2 best at?↓

Claude Mythos 5.2 is strongest in Unmatched defensive cybersecurity with 89.6% CVE Rediscovery and 76.3% on CyScenarioBench; Cutting-edge life sciences capabilities with 85.1 on de novo protein binder design (24 hr); Exceptional scientific problem-solving with 75.3% on Terminal-Bench-Science 0.1. Full pillar-by-pillar numbers are in the benchmark tables above.

What should you watch out for with Claude Mythos 5.2?↓

Known trade-offs include: Access restricted to verified red-team partners and qualified security research organizations. Weigh these against the strengths above for your specific workload.