Parameters
-
Context Length
200K
Modality
Text
Architecture
Dense
License
Proprietary
Release Date
15 Jan 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 Sonnet Thinking is a sophisticated mid-tier model within Anthropic's fourth-generation model family, engineered to strike an optimal balance between computational efficiency and advanced reasoning capabilities. This model integrates a unique hybrid reasoning architecture that allows it to operate in two distinct modes: a standard response mode for rapid interactions and an extended thinking mode for complex, multi-step problem solving. By surfacing its internal chain-of-thought process through specialized thinking content blocks, the model provides developers with greater transparency and control over the reasoning trajectory before arriving at a final output.
Technically, the model is built on a dense transformer architecture that has been specifically optimized for agentic workflows and software engineering tasks. A significant innovation in this version is the support for interleaved thinking, where the model can alternate between internal reasoning and external tool execution within a single turn. This capability allows the model to fire off multiple searches, evaluate intermediate results, and adjust its strategy dynamically. It supports an extensive 200,000-token context window for general availability, with a beta configuration supporting up to 1 million tokens, enabling the processing of massive codebases and technical documentation in a single session.
Designed for production-scale deployments, Claude 4 Sonnet Thinking excels in high-volume applications that require precise instruction following and nuanced domain knowledge in fields such as cybersecurity, finance, and software development. Its steerability and enhanced memory retention make it particularly suitable for autonomous AI agents and complex browser-based automation. Developers can fine-tune the model's performance by adjusting a thinking budget, effectively managing the trade-off between reasoning depth and latency to meet specific application requirements.
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
#29
| Benchmark | Score | Rank |
|---|---|---|
Coding LiveBench Coding | 0.77 | 6 |
Reasoning LiveBench Reasoning | 0.69 | 16 |
Agentic Coding LiveBench Agentic | 0.40 | 18 |
Data Analysis LiveBench Data Analysis | 0.70 | 21 |
Mathematics LiveBench Mathematics | 0.70 | 25 |
Overall Rank
#29
Coding Rank
#20