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Claude 4.5 Opus Thinking High Effort

Parameters

-

Context Length

200K

Modality

Text

Architecture

Dense

License

Proprietary

Release Date

1 Nov 2025

Knowledge Cutoff

May 2025

Technical Specifications

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 4.5 Opus Thinking High Effort

Claude 4.5 Opus Thinking High Effort represents the flagship intelligence tier within the Claude 4.5 model family, engineered for maximum analytical depth and extended reasoning. As a hybrid reasoning model, it incorporates an inference-time compute strategy where the model generates internal thinking blocks to deliberate on complex prompts before producing a final output. The High Effort configuration specifically adjusts the model's internal heuristics to prioritize thoroughness and multi-step verification, making it particularly effective for tasks where logical precision is more critical than immediate latency.

Architecturally, the model utilizes a dense transformer framework optimized for long-horizon task stability and coherent multi-step execution. It features a robust 200,000-token context window that supports high-fidelity retrieval and complex document analysis without significant performance degradation. The integration of an explicit 'effort' parameter allows developers to modulate the depth of the model's internal reasoning process, effectively controlling the trade-off between the number of reasoning tokens generated and the final response accuracy. This version is specifically tuned to manage sophisticated tool-use scenarios and autonomous agent workflows that require sustained focus over extended operational periods.

From a functional perspective, Claude 4.5 Opus Thinking High Effort is designed for high-stakes technical environments such as large-scale software refactoring, advanced mathematical modeling, and enterprise-grade data synthesis. It excels at interpreting ambiguous instructions and producing highly structured, executable code or detailed analytical reports. By preserving thinking blocks from previous turns within the conversational context, the model maintains a consistent logical thread across long interactions, which is essential for complex debugging and architectural design tasks.

About Claude 4.5

Enhanced Claude models with further improvements in reasoning, coding, and agentic capabilities. Features advanced thinking modes with adjustable effort levels (high, medium, standard) for optimal performance-latency tradeoffs. Excels at complex analysis, software development, web development, and long-context understanding. Includes thinking variants that expose reasoning process for improved transparency.


Other Claude 4.5 Models

Evaluation Benchmarks

Rank

#8

BenchmarkScoreRank

0.82

🥇

1

Agentic Coding

LiveBench Agentic

0.63

🥇

1

0.90

🥈

2

0.80

4

0.72

13

Rankings

Overall Rank

#8

Coding Rank

#14