Claude Opus 4.5: Anthropic's Most Powerful Model Yet
By Learnia Team
Claude Opus 4.5: Anthropic's Most Powerful Model Yet
This article is written in English. Our training modules are available in multiple languages.
📅 Update February 2026: Anthropic has released Claude Opus 4.6 with 1M token context, adaptive thinking, and 67% lower pricing. Read our complete Claude Opus 4.6 guide or see how it compares in Opus 4.6 vs GPT-5.3 Codex.
On November 24, 2025, Anthropic released Claude Opus 4.5, their most intelligent model to date. With state-of-the-art performance on coding benchmarks, advanced computer use capabilities, and unprecedented context handling, Opus 4.5 represents a major leap in AI capability.
Benchmark Performance
Claude Opus 4.5 delivers impressive results across key benchmarks:
SWE-bench Verified (Software Engineering): 80.9% — State-of-the-art
OSWorld (Computer Use): 66.3% — Autonomous computer interaction
GPQA Diamond (Graduate Reasoning): 89.2%
HumanEval (Code Generation): 92.1%
These scores represent significant improvements over previous Claude models and competitors.
Master AI Prompting — €20 One-Time
Key Capabilities
1. Advanced Coding & Agentic Workflows
Opus 4.5 excels at complex software engineering:
- →Long-horizon coding tasks: Multi-file refactoring, large-scale debugging
- →Plan-then-execute: Creates comprehensive plans before implementation
- →Iterative refinement: Improves code through multiple passes
Claude Code (Anthropic's coding product) now runs on Opus 4.5, available as a desktop app.
2. Computer Use & Automation
The model can autonomously interact with computers:
- →Navigate web browsers and desktop applications
- →Work with Excel, Chrome, and other software
- →New zoom action: Inspect screen regions in detail
- →Execute multi-step workflows across applications
3. Long-Context Understanding
Opus 4.5 handles extended interactions gracefully:
- →Automatic context summarization: Important information persists across long sessions
- →Preserved thinking blocks: Maintains reasoning continuity in multi-turn conversations
- →Full reasoning history available for complex, long-running tasks
Working with Opus 4.5
The Effort Parameter
A unique feature of Opus 4.5 is the effort parameter, allowing you to control:
- →Token usage vs. response thoroughness
- →Reasoning depth vs. speed
- →Cost optimization for different use cases
Low effort → Quick responses, lower cost
High effort → Deep analysis, comprehensive output
Prompting Tips
- →
Leverage its planning ability:
"Before implementing, create a detailed plan with file changes, dependencies, and potential issues."
- →
Use for multi-file tasks:
"Refactor the authentication system across these 5 files, ensuring backwards compatibility."
- →
Enable self-verification:
"After writing the code, review it for bugs and suggest improvements."
Multimodal Strengths
Beyond text, Opus 4.5 excels at:
- →Vision tasks: Analyzing images, charts, and diagrams
- →Spreadsheet work: Complex Excel operations
- →Slide generation: Creating presentations
- →3D visualizations: Generating and describing 3D content
- →Long-form storytelling: 10-15 page coherent narratives
Safety & Alignment
Anthropic emphasizes that Opus 4.5 is their most robustly aligned model:
- →Improved resistance to prompt injection
- →Better handling of malicious requests
- →Enhanced safety filters without compromising capability
Key Takeaways
- →Claude Opus 4.5 leads in coding and agentic benchmarks
- →Computer use capabilities enable true automation
- →The effort parameter provides cost/quality control
- →Long-context handling is superior for extended projects
- →Strong multimodal capabilities beyond text
Master Complex Problem-Solving with AI
Claude Opus 4.5's planning and execution capabilities embody advanced prompting patterns—specifically the ability to decompose complex problems and execute sophisticated workflows.
In our Module 4 — Complex Problem Decomposition, you'll learn:
- →How to structure multi-step problems for AI consumption
- →MapReduce patterns for dividing and conquering
- →Complexity estimation techniques
- →Building execution pipelines with verification checkpoints
- →When to use monolithic vs. decomposed approaches
Module 4 — Chaining & Routing
Build multi-step prompt workflows with conditional logic.