Comprehensive Guide to Anthropic's Claude Models, Including Mythos Preview

A newly published guide provides an exhaustive overview of Anthropic's Claude AI models, tracing their development from the foundational Claude 3 family to the cutting-edge Mythos Preview. This resource, released today, May 28, 2026, meticulously documents the timeline of over a dozen models introduced since March 2024, detailing their key innovations, pricing per million tokens, and current operational status. The guide underscores the rapid pace of advancement in Claude's capabilities. It highlights significant milestones such as the introduction of the three-tier Claude 3 family in March 2024, which brought vision capabilities and expanded context windows. Subsequent iterations, like Sonnet 4.6, are noted for achieving Opus-level coding performance and high computer usage rates, making them preferred daily drivers for many developers. A particular focus is placed on the latest flagship models. Opus 4.7, released in April 2026, is showcased for its threefold increase in vision resolution, enabling genuinely reliable professional use cases for image processing. It also introduced self-verification features and an "xhigh effort" level, significantly boosting its coding benchmarks. The guide also provides crucial details on the highly anticipated Mythos Preview, also released in April 2026. This "frontier-class" model is described as Anthropic's most capable to date, having autonomously discovered thousands of zero-day vulnerabilities. Due to its immense power and potential implications, Mythos Preview is not available for general release. Instead, it is exclusively accessible to critical infrastructure partners through Project Glasswing, with a distinct pricing structure reflecting its advanced capabilities. This comprehensive timeline serves as an invaluable reference for developers and enterprises seeking to navigate the diverse landscape of Claude models. It offers practical guidance on selecting the right model for various tasks, from daily coding to heavy-lifting intelligence operations, by comparing specifications, performance benchmarks, and cost-effectiveness across the entire lineage of Anthropic's AI offerings.