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Claude Opus 4.5: AI Coding Revolution Arrives

Claude Opus 4.5 Boosts Companies as Anthropic Leads AI Coding

3 min read

Anthropic has built a reputation for powering many of today’s code‑generation tools, but the latest upgrade to its Claude model is stirring fresh interest across the developer ecosystem. Claude Opus 4.5 arrived with a suite of enhancements that promise tighter integration, lower latency and more nuanced understanding of programming intent. For startups that stitch together multiple large‑language‑model providers, that promise translates into a competitive edge they can’t ignore.

One such firm, Cursor, markets a platform that lets engineers tap models from Anthropic alongside rivals, positioning itself as a meta‑coding hub. The timing of the Opus rollout coincides with Cursor’s announcement that its coding service crossed the $1 billion annual recurring revenue threshold in November, followed by a notable December performance. The convergence of a stronger Claude offering and Cursor’s revenue milestone suggests a broader market shift, where improvements in a single model can ripple through a chain of products and drive measurable growth.

While Anthropic feels dominant in AI coding, the buzz around Claude Opus 4.5 appears to be lifting several companies. Cursor, which lets users code using models from Anthropic and other AI labs, also said its coding tool reached $1 billion in ARR in November. In December, the company posted particul

While Anthropic feels dominant in AI coding, the buzz around Claude Opus 4.5 appears to be lifting several companies. Cursor, which lets users code using models from Anthropic and other AI labs, also said its coding tool reached $1 billion in ARR in November. In December, the company posted particularly strong month-over-month revenue growth, according to a person close to the company.

OpenAI, Google, and xAI are also racing to claim a larger share of the AI coding market, developing agentic products of their own powered by in-house AI models. Now, Anthropic is trying to use Claude Code's momentum to create agents for non-coding sectors. Earlier this month, the company launched Cowork, an AI agent that can manage files on a user's computer and interact with software--without requiring any interaction with a coding terminal.

This interview has been edited and condensed for clarity. WIRED: There's been excitement around Claude Code for months. BORIS CHERNY: We released Claude Code like a year ago, and at the time, we weren't sure if agentic coding was even going to be a thing.

We had this hypothesis that maybe the model is ready for something like this. When we first launched this, I wrote maybe 5 percent of my code with Claude Code.

Related Topics: #Claude Opus 4.5 #AI coding #Large language models #Anthropic #OpenAI #Code generation #Cursor #Programming AI #Software development

The buzz around Claude Opus 4.5 is palpable, and several firms report tangible lifts in productivity. Anthropic’s Claude Code, described by its head Boris Cherny as “the simplest possible thing,” now sees half of the internal sales team using it weekly—a fact that underscores rapid internal adoption. Yet the claim that this simplicity translates into broader market impact remains unverified beyond anecdotal reports.

Cursor, a platform that stitches together models from Anthropic and other labs, announced a $1 billion ARR milestone in November, and followed with a December filing whose details were only partially disclosed. That suggests momentum, but the exact financial implications are unclear. AI‑powered coding has undeniably evolved, but whether Claude Opus 4.5 will sustain its current buzz or become a lasting fixture in enterprise workflows is still an open question.

It's still early. The data points are promising, though they stop short of proving long‑term dominance. As the sector continues to experiment, the true value of these tools will likely emerge only with further independent measurement.

Further Reading

Common Questions Answered

How does Claude Opus 4.5 compare to previous versions in terms of coding performance?

[vertu.com](https://vertu.com/lifestyle/claude-opus-4-5-vs-gpt-5-2-codex-head-to-head-coding-benchmark-comparison/) reports that Claude Opus 4.5 leads on the SWE-bench Verified benchmark with 80.9% accuracy, making it the first AI model to exceed 80% on this real-world coding test. The model demonstrates significant improvements in multi-step reasoning, coding throughput, and tool-use intelligence compared to previous Claude versions.

What pricing changes did Anthropic introduce with Claude Opus 4.5?

[venturebeat.com](https://venturebeat.com/ai/anthropics-claude-opus-4-5-is-here-cheaper-ai-infinite-chats-and-coding) reveals that Anthropic dramatically reduced pricing to $5 per million input tokens and $25 per million output tokens, compared to the previous rates of $15 and $75. This significant price reduction aims to make frontier AI capabilities more accessible to developers and enterprises.

What are the key reasoning enhancements in Claude Opus 4.5?

[datastudios.org](https://www.datastudios.org/post/claude-opus-4-5-new-model-architecture-reasoning-strength-long-context-memory-and-enterprise-scal) highlights that Opus 4.5 introduces an improved reasoning core capable of handling multi-phase tasks with sustained reasoning across dozens of steps. The model maintains coherence without drift, making it suitable for enterprise environments and autonomous agent frameworks that require complex, sequential decision-making.