Claude Fable 5
anthropic.com
June 9, 2026
18 min read
🔥🔥🔥🔥🔥
85/100
Summary
Claude Fable 5 is a Mythos-class model designed for general use, surpassing previous models in capabilities. It demonstrates exceptional performance across various benchmarks, particularly in software engineering, knowledge work, vision, and scientific research, with greater advantages in longer and more complex tasks.
Key Takeaways
- Claude Fable 5 is a Mythos-class model that outperforms all previous models in software engineering, knowledge work, vision, and scientific research.
- Fable 5 has been launched with safeguards that limit its use in sensitive areas, triggering alternative responses from the Claude Opus 4.8 model in less than 5% of sessions.
- Claude Mythos 5, a variant of Fable 5, has lifted safeguards for a select group of cyberdefenders and infrastructure providers, offering the strongest cybersecurity capabilities of any model.
- Fable 5 and Mythos 5 are priced at $10 per million input tokens and $50 per million output tokens, significantly lower than the previous Claude Mythos Preview.
Coverage & discussions
Hacker News · anthropic.com
Community discussions
Hacker News discussion ↗
Historical count: 5 · 5 saved in sample · Historical sample
Analysis ready
Community Sentiment
Positives
- Fable 5 demonstrates a significant leap in performance, achieving a 29.3% score on the FrontierCode benchmark, indicating its superior coding capabilities compared to previous models.
- Users report Fable 5's ability to tackle complex problems efficiently, often using fewer tokens than its predecessor, which enhances cost-effectiveness for developers.
- The frontend design of Fable 5 has been praised for its intentional crafting and improved usability, making it more delightful for end-users.
- Fable 5 has shown remarkable proficiency in handling intricate tasks, such as reverse engineering and analyzing dense specifications, which were challenging for earlier models.
Concerns
- The removal of Fable 5 from subscription plans after a promotional period raises concerns about accessibility and potential hidden costs for users.
- Some users experienced significant token consumption, leading to frustration over unexpected costs and limitations on their usage.
- There are worries that Anthropic's restrictions on model usage for competitive development may stifle innovation and limit developers' capabilities in building advanced AI applications.
