Anthropic's most capable coding model. A meaningful jump over Opus 4.6 with 3× sharper vision, xhigh effort control, and the reliability to handle your hardest engineering work autonomously.
No credit card required · $5/M input · $25/M output tokens
The most powerful upgrade for complex, long-running professional tasks
Handles complex, long-running tasks with rigor and consistency. Devises ways to verify its own outputs before reporting back.
Accepts images up to 2,576px on the long edge (~3.75MP) — 3× more pixels than prior models. Reads dense screenshots and complex diagrams.
Takes instructions literally and follows them rigorously. A significant leap in reliability for prompt-driven workflows.
Fine-grained control between high and max effort. Deeper reasoning on hard problems with predictable latency tradeoffs.
First model with real-time safeguards that detect and block prohibited cybersecurity uses, while supporting legitimate security research.
70% CursorBench (+12pp over Opus 4.6), 98.5% XBOW visual acuity, state-of-the-art on finance agent evals and GDPval-AA.
State-of-the-art across coding, vision, and agentic benchmarks
| Benchmark | Opus 4.7 | Opus 4.6 | Sonnet 4.6 | Gemini 3.1 Pro | GPT-5.4 |
|---|---|---|---|---|---|
| Agentic coding (SWE-bench Verified) | — | 80.8% | 77.2% | 76.2% | — |
| Agentic terminal coding (Terminal-Bench 2.0) | — | 65.4% | 51.0% | 56.2% | — |
| IDE coding (CursorBench) | 70.0% | 58.0% | — | — | — |
| Agentic search (BrowseComp) | — | 84.0% | 43.9% | 59.2% | — |
| Finance agent (Scale AI) | SOTA | — | — | — | — |
| Visual acuity (XBOW) | 98.5% | 54.5% | — | — | — |
Scores from Anthropic's announcement and partner testimonials. "—" = not reported. SOTA = state-of-the-art.
Early-access feedback from industry leaders
"On CursorBench, Opus 4.7 is a meaningful jump in capabilities, clearing 70% versus Opus 4.6 at 58%."
Cursor
"Opus 4.7 works coherently for hours, pushes through hard problems rather than giving up, and unlocks deep investigation work we couldn't run before."
Cognition (Devin)
"It's phenomenal on one-shot coding tasks, more correct and complete than Opus 4.6, and noticeably more honest about its own limits."
Vercel
"+14% over Opus 4.6 at fewer tokens and a third of the tool errors. First model to pass our implicit-need tests."
Notion
"Same quality at lower cost — more efficient and precise. It really feels like a better coworker."
Replit
"Up to 10% better without the regressions we've come to expect from very agentic models."
Bolt
Get started in minutes
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Use /model to pick Claude Opus 4.7 from the model selector.
Experience state-of-the-art coding performance with Claude Opus 4.7 in AdaL CLI.
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