Parameters
-
Context Length
200K
Modality
Text
Architecture
Dense
License
Proprietary
Release Date
5 Aug 2025
Knowledge Cutoff
Mar 2025
Attention Structure
Multi-Head Attention
Hidden Dimension Size
-
Number of Layers
-
Attention Heads
-
Key-Value Heads
-
Activation Function
-
Normalization
-
Position Embedding
Absolute Position Embedding
Claude 4.1 Opus is the flagship dense transformer model in Anthropic's fourth-generation model family, engineered for high-stakes enterprise applications and sophisticated cognitive tasks. It functions as a direct successor to the Opus 4 model, maintaining the same 200,000-token context window while introducing significant enhancements in agentic autonomy and precise code manipulation. The model is specifically tuned for high-fidelity reasoning in production environments where accuracy and the ability to handle complex, multi-step instructions are more critical than raw generation speed.
Architecturally, the model utilizes a dense transformer framework with Multi-Head Attention (MHA) and absolute position embeddings to maintain consistency over its extensive context window. It incorporates a hybrid reasoning approach that allows for standard operation alongside an 'extended thinking' mode. This architectural choice enables the model to allocate additional compute to difficult problems, such as multi-file code refactoring and deep data analysis, by generating an internal reasoning chain of up to 64,000 tokens. This internal chain is processed before delivering a concise final response, effectively separating the exploratory reasoning process from the finalized output.
Designed for integration into agentic workflows, Claude 4.1 Opus excels at navigating large codebases and identifying surgical corrections without introducing collateral bugs. It is a multimodal model capable of processing both text and image inputs, making it suitable for analyzing complex technical diagrams, financial reports, and large-scale software documentation. The model's safety profile is governed by Anthropic's AI Safety Level 3 (ASL-3) standards, featuring advanced resistance to prompt injection and high refusal rates for harmful requests while maintaining minimal over-refusal on benign queries.
Anthropic's fourth generation Claude models with advanced reasoning, extended context windows up to 200K tokens, and configurable thinking effort levels. Features improved safety alignment, nuanced understanding, and sophisticated task completion. Includes Opus (most capable), Sonnet (balanced), and Haiku (fast) variants, with thinking modes that enable transparent chain-of-thought reasoning for complex problems.
Rank
#53
| Benchmark | Score | Rank |
|---|---|---|
Agentic Coding LiveBench Agentic | 0.53 | 5 |
Coding LiveBench Coding | 0.76 | 9 |
Graduate-Level QA GPQA | 0.81 | 13 |
Data Analysis LiveBench Data Analysis | 0.67 | 32 |
Reasoning LiveBench Reasoning | 0.41 | 34 |
Mathematics LiveBench Mathematics | 0.63 | 36 |
Overall Rank
#53
Coding Rank
#27