Anthropic Launches Claude Opus 4.7 + Claude Design — What Changed

Anthropic shipped two releases on April 18: Claude Opus 4.7, an upgraded model with meaningfully stronger coding and vision capabilities, and Claude Design, a new visualisation tool in research preview. Both are available now for Pro, Max, Team, and Enterprise subscribers.

Here is what actually changed and what it means for developers building on top of Claude.

Claude Opus 4.7: What Is Different

Claude Opus 4.7 is not a rebrand of 4.6. The changelog documents specific capability improvements in three areas.

Coding: Stronger performance on real-world software engineering tasks. The improvement is most visible in multi-file refactoring, understanding dependencies between modules, and executing longer coding sequences without losing context. Anthropic's internal SWE-bench scores show improvement over 4.6 — external independent replication will follow within days.

Vision: Higher-resolution image analysis. Opus 4.7 processes images at higher internal resolution before responding, which matters for tasks like reading dense screenshots, analysing complex diagrams, or extracting data from technical charts. The practical difference: Opus 4.7 reads text in images that Opus 4.6 would blur or miss at the same input size.

Long-running tasks: New effort controls and task budgets. Developers can now specify the effort level for a task — standard, high, or maximum — which controls how deeply the model reasons before responding. Task budgets let you set token limits on specific subtasks within a longer agentic workflow, preventing runaway reasoning on low-value steps. Both are API-accessible as new parameters.

Claude Code improvements: The April 18 release also ships updates to Claude Code: /tui fullscreen rendering mode, mobile push notifications for long-running tasks, cleaner transcript output, and improved plugin and doctor workflows. If you use Claude Code in your development pipeline, update immediately.

Claude Design: What It Is

Claude Design is a new tool that takes natural language descriptions and generates visual layouts — UI mockups, slide decks, marketing materials, and design compositions. It is powered by Opus 4.7 and is in research preview.

The positioning is clear: Claude Design targets non-designers. Founders who need a landing page mockup before hiring a designer. Product managers who need a slide deck for a stakeholder meeting. Marketers who need visual content quickly. The output is not production-ready design — it is design-quality-enough-to-communicate.

For developers, the more interesting angle is what Claude Design reveals about the direction of Claude's capabilities. Opus 4.7's higher-resolution vision processing is the same capability that powers Design's visual output quality. The model is getting better at the visual layer of software — understanding and generating it.

API Impact: The Effort Controls

The effort controls are the most immediately useful Opus 4.7 feature for developers.

Before Opus 4.7, every Claude API call used the model's default reasoning depth regardless of whether the task warranted it. A simple classification task got the same reasoning budget as a complex code review. This was inefficient in two ways: cost (more tokens on simple tasks) and latency (longer wait for responses that did not need deep reasoning).

The new effort parameter lets you specify reasoning depth per call:

• effort: "standard" — normal response, optimised for cost and latency
• effort: "high" — deeper reasoning, best for complex coding or analysis tasks
• effort: "maximum" — full reasoning budget, use for the hardest problems

For applications that mix simple and complex tasks — which is most production applications — this is a meaningful cost and latency optimisation. Route classification and extraction tasks to "standard", route code review and architecture analysis to "high" or "maximum".

Task budgets extend this to multi-step workflows: you can allocate a maximum token budget per subtask, ensuring that step 2 of a 10-step agent workflow does not consume 80% of your token budget on a low-value operation.

How Opus 4.7 Compares to the Competition

OpenAI Spud is still not launched (day 5 of the delay). Gemini 3.1 Ultra is the current Google flagship. Opus 4.7 sits in a competitive landscape where no major competitor has shipped a new flagship in the past week.

For SWE-bench specifically: Opus 4.7 improves on Opus 4.6's already-leading position. Independent replication will confirm the exact score within 72 hours of this post, but expect Opus 4.7 to widen the gap over GPT-4o and Gemini 3.1 on coding benchmarks until Spud ships.

If you are currently using Opus 4.6 in production, the migration to Opus 4.7 is an API model parameter change. No prompt engineering changes required — Anthropic maintains backward compatibility across Opus versions. Test on your specific use case before full rollout, but expect improvement on coding and vision tasks with no regression on other capabilities.

Key Takeaways

• Claude Opus 4.7 ships April 18 with stronger coding (multi-file, dependencies), higher-resolution vision, effort controls, and task budgets — Pro/Max/Team/Enterprise subscribers
• Effort controls are the most useful new API feature: route simple tasks to "standard", complex coding to "high"/"maximum" — meaningful cost and latency savings for mixed-workload applications
• Claude Design research preview: natural language to visual layouts for founders, PMs, and marketers — not production design, but design-quality-enough-to-communicate
• Claude Code updates ship simultaneously: /tui fullscreen, mobile push notifications, plugin improvements — update Claude Code immediately
• Migration from Opus 4.6 is a single parameter change: backward compatible, test before full rollout, expect improvement on coding and vision tasks

For the broader Claude capabilities landscape, compare models at Claude vs ChatGPT. For live API pricing on Opus 4.7, check LLM API Pricing. For how Claude Mythos reached zero-days autonomously, read Claude Mythos Found Your Zero-Days.