Complete AI Training
Sign inGet my AI kit

Your job's AI kit

Get your AI kit

Tell us who you are and what you do. We show you your kit right away and email you the link: skills, prompts, AI agents, MCP servers and courses for your job.

500+ jobs ready, and we make a kit for any other job. No payment needed to look.

Share

AI news ·

Anthropic releases Claude Opus 5 with improved performance at unchanged pricing

Anthropic released Claude Opus 5, matching its top model at 50% lower cost. The model costs $5 per million input tokens and doubles previous benchmark scores.

1 min read
IT and development

Anthropic released Claude Opus 5 on July 24, an updated hybrid reasoning model that delivers stronger coding, knowledge, and agent performance at the same price as its predecessor. The model nearly matches the company's top-tier Claude Fable 5 on several benchmarks while costing half as much, making frontier-level AI more accessible for developers and IT professionals.

Benchmark performance

On Frontier-Bench v0.1, Claude Opus 5 more than doubled Opus 4.8's score and topped all other models tested. On CursorBench 3.2, a coding evaluation, it came within 0.5% of Fable 5's peak score at 50% lower cost per task. Across high, xhigh, and max effort settings, Opus 5 outperformed all competitors at equivalent costs.

Anthropic described the model as "a thoughtful and proactive model" that comes close to the "frontier intelligence" of Claude Fable 5 at half the price. Opus 5 is now the default on Claude Max and the strongest model available on Claude Pro.

Pricing and developer access

Claude Opus 5 costs $5 per million input tokens and $25 per million output tokens, unchanged from Opus 4.8. Developers can call it through the Claude API. Two accompanying beta features-mid-conversation tool changes on the Claude Platform and automatic fallbacks on the API-aim to improve reliability and flexibility for technical teams.

Why this matters for IT and Development

For developers and IT engineers, Claude Opus 5 offers a notable upgrade in coding and agentic tasks without increasing cost. The near-parity with the top model on CursorBench means teams can integrate a high-performing reasoning engine into automated workflows, code generation pipelines, and internal tools at a lower API bill. The new fallback and tool-change features further reduce downtime and manual intervention, helping teams build more resilient AI-driven applications.

Share