Opus 4.5
The world's most intelligent model for coding, agents, and complex reasoning.
About the Model
Claude Opus 4.5 is Anthropic’s newest and most capable frontier model. Designed for heavy-duty agentic workflows, complex software engineering, and deep research, Opus 4.5 handles ambiguity and reasoning with unprecedented precision. With the introduction of the dynamic "Effort Control" parameter, it achieves state-of-the-art results while using significantly fewer tokens, making it a highly efficient and cost-effective choice for enterprise deployment on Deepmask.
Model Key Capabilities
State-of-the-Art Software Engineering:
Outperforms human candidates on elite engineering exams. Excels at codebase migrations, complex refactoring, and 30-minute autonomous coding sessions.
Dynamic Effort Control:
A brilliant new parameter that lets you control the model's thinking depth. Minimize time and spend for standard tasks, or maximize capability for difficult problems.
Autonomous Agents & Orchestration:
Built for long-horizon tasks, multi-step execution, and managing teams of sub-agents with minimal dead-ends.
Advanced Everyday Productivity:
Seamlessly handles long-context storytelling (10-15 pages), massive spreadsheet automation, financial modeling, and 3D visualization.
Applications & Use Cases
Deep Research & Analysis
Digest and synthesize massive datasets, financial documents, and technical reports using the 200K context window.
Generate 10-15 page chapters with high consistency and structural organization.
Production-Grade Coding Agents
Build robust autonomous agents capable of creating, testing, and iterating on entire codebases.
Slash tool-calling errors and build/lint errors by up to 75%.
Enterprise Automation
Automate complex Excel workflows, financial modeling, and data formatting with a 20% boost in accuracy.
Create multi-agent systems that autonomously refine their own capabilities over iterations.
High-Fidelity Vision & UI
Process and understand complex 3D visualizations, desktop environments, and UI screenshots.
Extract functional planning and actionable insights directly from visual inputs.
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Model Specifications
General | |
|---|---|
Model Provider | Anthropic |
Main Use Cases |
|
Intelligence | |
Reasoning Effort | Adaptive (Standard/High) |
GPQA Diamond | 88.9% |
Memory | |
Max Context | 200K - 500K Tokens |
Speed | |
Latency (TTFT) | 0.10s |
Throughput | 22 Tokens/Sec |



