Reviews/AI MODELS/Claude Opus 4.7
C

Claude Opus 4.7

Anthropic's flagship model with task budgets for disciplined agentic work

Price$5/1M input · $25/1M outputReviewed2026-04-26
Verdict — Ship
3 Ships1 Skips
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The Panel's Take

Claude Opus 4.7, released April 16, 2026, is Anthropic's strongest model to date and introduces a meaningful new primitive for agentic work: task budgets. A task budget gives Claude a token target for the entire agentic loop — thinking, tool calls, tool results, and final output — with a running countdown that lets the model prioritize and wind down gracefully rather than running out of context mid-task. Beyond task budgets, Opus 4.7 ships with substantially better vision at higher resolutions, improved creative output quality (better interfaces, slides, and docs), and gains on the hardest software engineering tasks where Opus 4.6 struggled to maintain context across long refactors. Pricing stays flat at $5/1M input and $25/1M output. Available day-one across Claude Pro, API, Amazon Bedrock, Vertex AI, Microsoft Foundry, Claude Code, Cursor, and GitHub Copilot, Opus 4.7 cements Anthropic's position as the go-to model for serious agentic workloads — particularly long-horizon coding sessions that previously needed close human supervision.

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Claude Opus 4.7 verdict: SHIP 🚀

3 ships · 1 skip from the expert panel

Full review: shiporskip.io/tool/claude-opus-47-anthropic-task-budgets-vision-coding-2026

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The reviews

Task budgets are the most useful new feature in a model release this year. I can now hand off a 4-hour refactor with confidence that Claude won't run off the rails or stall out at 80%. The hard coding gains are real — agentic loops on big codebases feel qualitatively different.

Helpful?

At $25/1M output tokens, a single complex agentic loop can easily cost $5-10. Task budgets help, but they're a bandaid on the fundamental cost problem. For most teams, Sonnet 4.6 delivers 80% of the capability at 20% of the price.

Helpful?

Task budgets represent a real shift in how we think about agent control — not 'stop the agent if it goes wrong' but 'give the agent enough rope to finish, not enough to hang itself.' This mental model will propagate across the industry.

Helpful?

The higher-resolution vision and tasteful output quality improvements are immediately noticeable in design-adjacent tasks. Generating polished slides and landing pages feels less like prompting a robot and more like briefing a designer.

Helpful?

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