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Claude Opus 4.7: New Flagship Opus Model
Claude Opus 4.7 was released by Anthropic on April 16, 2026, designed for the most demanding AI tasks. Positioned as a significant step up from Claude Opus 4.6, the new model raises the bar in software engineering, long-horizon task execution, instruction following, and visual understanding — while also introducing a handful of breaking API changes that developers need to prepare for.
Anthropic describes it as the best choice for "complex, long-running tasks" that require precise attention to instructions, self-verification, and sustained coherent reasoning across extended sessions.
Key Technical Specs of Claude Opus 4.7
- Context window: 1 million tokens
- Max output: 128,000 tokens
- Knowledge cutoff: January 2026
- Vision: Up to 2,576 px (long edge) / ~3.75 MP per image
Main Features and Improvements of Claude Opus 4.7
Advanced Software Engineering
The headline improvement of Claude Opus 4.7 is a major leap in coding and agentic software tasks. Opus 4.7 scores 87.6% on SWE-bench Verified (vs. 80.8% for Opus 4.6) and 64.3% on SWE-bench Pro (vs. 53.4%), according to Anthropic's published benchmark tables. These gains reflect a model that is measurably better at resolving real GitHub issues, navigating multi-file codebases, and completing multi-step debugging loops without human intervention.
Self-Verification and Instruction Following
One of the more nuanced improvements is that Claude Opus 4.7 can verify its own outputs before reporting back. In practice, this means the model is more likely to catch its own logical errors during planning — rather than confidently delivering a wrong answer. This behavior is reinforced by stricter, more literal instruction following, which is a double-edged sword (more on that in the Limitations section).
Upgraded Vision Capabilities
The model nearly triples the supported image resolution, from 1,568 px (~1.15 MP) to 2,576 px (~3.75 MP). Critically, image coordinates now map to actual pixel positions, eliminating the scale-factor math that tripped up computer-use agents in earlier versions. This makes Opus 4.7 substantially more reliable for tasks involving dense UIs, charts, diagrams, and screenshots.
File-System Memory
Opus 4.7 has improved support for persistent, file-system-based memory — the ability to write notes during one session and retrieve them in a later one. Combined with a new "memory tool" for scratchpad-style reasoning, this opens the door to richer multi-session workflows where the model accumulates context over time.
Claude Opus 4.7 vs Other Models
| Spec | Claude Opus 4.7 | Claude Opus 4.6 | Claude Sonnet 4.6 | GPT-5.4 | Gemini 3.1 Pro |
| Speed | Moderate | Moderate | Fast | Moderate to fast | Moderate to fast |
| Reasoning depth | Very high | High | High | Very high | Very high |
| Coding strength | Very high | High | High | Very high | High |
| Multimodal support | Strong | Strong | Strong | Strong | Very strong |
| Tool / agent workflow fit | Excellent | Very good | Very good | Strong | Strong |
| Best for | Hard reasoning, long coding tasks, agentic workflows | Advanced work, prior-generation premium use | General professional use | Broad reasoning and general assistance | Multimodal and multilingual tasks |
Questions and Answers
What is the context window for Claude Opus 4.7?
Claude Opus 4.7 has one million tokens, with a maximum output of 128,000 tokens per response.
What is Claude Opus 4.7 best at?
It performs strongly on advanced coding, complex multi-step tasks, vision work, and professional knowledge tasks. Anthropic says it is more thorough and consistent on hard work than earlier Opus versions.
Does Claude Opus 4.7 help with coding?
Yes. Anthropic says it is especially strong for advanced software engineering and difficult coding tasks, with better results on challenging benchmarks and long-running workflows.
Can Claude Opus 4.7 handle complex workflows?
Yes. It is built for agentic workflows that involve multiple tools, planning, memory, and extended task execution with less supervision. Anthropic says it can keep working through tool failures more reliably than before.
Does Claude Opus 4.7 support vision tasks?
Yes. Anthropic says it has stronger performance in vision, including document analysis and other image-based tasks. It is also described as better at handling dense or complex visual inputs.