# Anthropic Launches Claude Opus 5, a Cheaper AI Model for Coding and Enterprise Workflows

Claude Opus 5 offers economic advantages for daily use.

- **Source:** [VentureBeat](https://venturebeat.com)
- **Published:** 2026-07-24
- **Topic:** [Data & AI](https://brifing.si/c/data-ai)
- **Original article:** <https://venturebeat.com/orchestration/anthropic-launches-claude-opus-5-a-cheaper-ai-model-for-coding-agents-and-enterprise-workflows>
- **On Brifing:** https://brifing.si/s/10224be7-02b8-4ea8-bd50-d87128f71999

## Launch of Claude Opus 5

Anthropic released Claude Opus 5. This model delivers nearly all the intelligence of the top-tier Claude Fable 5 at half the cost, providing economic advantages for daily use.

## Pricing and Accessibility

Claude Opus 5 is immediately available on all Anthropic platforms. It is priced at $5 per million input tokens and $25 per million output tokens, the same as its predecessor, Opus 4.8.

## Model Positioning

Anthropic emphasizes that Opus 5 is not the smartest model. Instead, it highlights that economically important AI work happens in a middle band of difficulty, which is more crucial for enterprise buyers.

## Use Cases

Opus 5 is ideal for daily tasks. Fable 5 is used for the most ambitious projects, Sonnet 5 for scalable work, and Haiku 4.5 for subagents and instant answers.

## Benchmark Results

Opus 5 set new standards in coding and knowledge-work evaluations. It excelled in tests like Frontier-Bench and GDPval-AA. On ARC-AGI 3, it scored three times higher than the next best model.

## Model Limitations

Opus 5 lags behind Mythos 5 in cybersecurity and biology research. Additionally, an OpenAI model still leads in one coding benchmark.

## Token Efficiency

Opus 5 not only performs well but also performs well per dollar. The model allows balancing intelligence with speed and token savings.

## Early User Feedback

Harvey noted that Opus 5 achieved similar performance to Opus 4.8's maximum reasoning mode while generating 26% fewer tokens. Fundamental Research Lab reported 9% higher accuracy in financial modeling tasks.

## Enterprise AI Spending

Enterprise AI spending is no longer experimental. Inference costs, the price of running these models at scale, have become a board-level line item.

## Market Share and Revenue

Anthropic's customers pay per token. By late 2025, Claude held 40% of the enterprise large language model market. Claude Code achieved $1 billion in annual revenue.

## Hidden Costs of Automation

Opus 5 sells not just on numerical performance but also on a behavioral story. The model verifies its work, reducing the hidden costs of automation.

## Sources covering this story

- https://venturebeat.com/orchestration/anthropic-launches-claude-opus-5-a-cheaper-ai-model-for-coding-agents-and-enterprise-workflows — 

---

_Summary written by Brifing from the original reporting. Copyright in the original article belongs to its publisher; read the full piece at the link above._
