# 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.

- Type: AI news
- Page: https://completeaitraining.com/news/anthropic-releases-claude-opus-5-with-improved-performance/
- Published: 2026-07-27
- Updated: 2026-07-27
- Author: Jeroen Erne
- Jobs: IT and development
- Reading time: 1 min

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](https://completeaitraining.com/tag/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](https://completeaitraining.com/tag/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.

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