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Anthropic reveals new Opus 4.7 model with focus on advanced software engineering
Zac Hall · 2026-04-16 · via 9to5Mac

Anthropic has announced its latest AI model with Claude Opus 4.7. The new version arrives two months after the previous model upgrade, matching Anthropic’s previous upgrade cadence.

Opus 4.7 needs less supervision for harder coding tasks

Claude Opus 4.7 is the latest generally available version of Anthropic’s main AI model with a focus on advanced software development.

Opus 4.7 is a notable improvement on Opus 4.6 in advanced software engineering, with particular gains on the most difficult tasks. Users report being able to hand off their hardest coding work—the kind that previously needed close supervision—to Opus 4.7 with confidence. Opus 4.7 handles complex, long-running tasks with rigor and consistency, pays precise attention to instructions, and devises ways to verify its own outputs before reporting back.

Anthropic says its model has both better vision and taste for creating higher-quality work.

The model also has substantially better vision: it can see images in greater resolution. It’s more tasteful and creative when completing professional tasks, producing higher-quality interfaces, slides, and docs. 

The company shows favorable benchmarks across a range of areas, including agentic coding and computer use.

These results put Opus 4.7 ahead of Opus 4.6, GPT-5.4, and Gemini 3.1 Pro, but behind the more broadly capable Claude Mythos Preview.

However, Mythos isn’t generally available like Opus 4.7 since Anthropic is only sharing it with key software platform vendors like Apple.

You can see the benchmark comparison table in Anthropic’s blog post here.

Anthropic highlights improvements to instruction following, multimodal support, real-world work, and memory as other improvements in Opus 4.7.

“Opus 4.7 is better at using file system-based memory,” the company says. “It remembers important notes across long, multi-session work, and uses them to move on to new tasks that, as a result, need less up-front context.”

Anthropic is shipping Claude Opus upgrades every two months

Notably, Anthropic has established a more predictable cadence for directly upgrading its Claude Opus model.

Opus 4.7 arrives two months after Opus 4.6, which arrived two months after Opus 4.5. There was a longer gap between Opus 4.1 and Opus 4.5.

Anthropic’s announcement also includes a note to users about how token usage is handled differently with Optus 4.7:

Opus 4.7 is a direct upgrade to Opus 4.6, but two changes are worth planning for because they affect token usage. First, Opus 4.7 uses an updated tokenizer that improves how the model processes text. The tradeoff is that the same input can map to more tokens—roughly 1.0–1.35× depending on the content type. Second, Opus 4.7 thinks more at higher effort levels, particularly on later turns in agentic settings. This improves its reliability on hard problems, but it does mean it produces more output tokens.

Meanwhile, Box’s Head of AI Yashodha Bhavnani says the new model is more efficient based on the company’s evaluations:

“Claude Opus 4.7 demonstrates significant efficiency gains while preserving the performance of Claude Opus 4.6,” said Yashodha Bhavnani, Head of AI at Box. “In Box’s evaluations, Opus 4.7 had a 56% reduction in model calls and 50% reduction in tool calls. It also responded 24% faster and used 30% fewer AI Units – all enhancements that will help enterprises move faster and scale more affordably.”

The company has a separate post detailing migration between models, and the Claude Opus 4.7 System Card is available here.

Claude Code enhancements

In addition to new models, Anthropic has been iterating on Claude Code, part of the Claude Mac app, in recent weeks:

Starting today, auto mode in Claude Code is now available for Max plan subscribers, not just Teams/Enterprise/API customers.

Claude Code also gains “the new /ultrareview command” that Anthropic says “runs a dedicated review session that reads through your changes and flags what a careful reviewer would catch.”

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