Anthropic launches Claude Opus 5, a cheaper AI model for coding, agents and enterprise workflows
Anthropic has launched Claude Opus 5, a more affordable AI model that delivers nearly the same intelligence as its top-of-the-line Claude Fable 5 at half the cost. Opus 5 achieves state-of-the-art results on coding and knowledge-work evaluations, including Frontier-Bench and GDPval-AA, with a score of 43.3 percent on Frontier-Bench v0.1, more than double Opus 4.8's score. The model is priced at $5 per million input tokens and $25 per million output tokens, making it an attractive option for enterprise buyers. This launch signals a shift in the AI race from raw capability to the economics of daily use, with practical implications for engineers building AI systems.
⚡ Key Takeaways
- Claude Opus 5 scores 43.3 percent on Frontier-Bench v0.1, more than double Opus 4.8's 18.7 percent.
- Opus 5 is priced at $5 per million input tokens and $25 per million output tokens, unchanged from its predecessor, Opus 4.8.
- The model achieves state-of-the-art results on coding and knowledge-work evaluations, including Frontier-Bench and GDPval-AA.
- Opus 5 is the new default model on Claude Max and the strongest model available on Claude Pro.
- The model still falls short of Fable 5 on certain tasks, such as cybersecurity and biology research.
The launch of Claude Opus 5 has significant implications for engineers building AI systems, as it offers a more affordable and efficient option for daily use, while still delivering high-quality results. This shift in the AI race from raw capability to economics of daily use will likely influence the development of future AI models.
✅ Practical Steps
- Evaluate Claude Opus 5 for use in coding and knowledge-work tasks, considering its state-of-the-art results and affordable pricing.
- Compare the performance of Opus 5 with Fable 5 on specific tasks, taking into account the trade-offs between cost and capability.
- Consider using Opus 5 as the default model on Claude Max and Claude Pro, and Fable 5 for more ambitious and long-term projects.
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