claude-opus-4-1-20250805-thinking

claude-opus-4-1-20250805-thinking

Suitable for scenarios requiring high-precision reasoning and complex tasks.
2025-08-05
LLM
Model capability: imageModel capability: function_call
Input:
$15/1M tokens
Output:
$75/1M tokens
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API Overview

Basic Information

Model Name: Claude Opus 4.1 (Thinking)

Release Date: August 5, 2025. This version is an update and enhancement of the Claude Opus 4 family, focusing on optimizing complex reasoning and adaptive thinking capabilities.

Release Platforms: Widely deployed on Anthropic’s API platform, AWS Bedrock, Google Vertex AI, Azure, and other cloud platforms. It features cross-platform compatibility and supports a variety of use cases for enterprise customers.

Core Features

Long Context Understanding Capability

Default context window: 200K tokens. This increase is particularly suited for handling large-scale documents, long conversations, and multi-step reasoning.

Extended Support: For enterprise customers, it supports ultra-long context windows of up to 500K tokens, enabling the processing of more complex tasks and cross-document content analysis.

Applicable Scenarios: This feature makes Opus 4.1 especially suitable for in-depth analysis of lengthy documents, cross-chapter reasoning, and multi-round reasoning tasks.

Adaptive Reasoning and Complex Task Execution

Thinking Mode: Claude Opus 4.1 introduces the “Thinking” mode, allowing the model to engage in intermediate thinking, reflection, and self-adjustment during multi-step reasoning. For example, in legal reviews or scientific research derivations, the model can self-correct its reasoning path, thereby reducing error rates.

High-Precision Reasoning: On multiple benchmarks—including rational reasoning, arithmetic problem-solving, and cross-domain reasoning—Claude Opus 4.1 has improved performance by 20%–30%, achieving high-precision handling of long-chain tasks.

Self-Verification and Correction Capability

Enhanced Error Correction: With its “self-verification” capability, Opus 4.1 can automatically check the correctness of reasoning steps during execution and correct any deviations it detects. This makes the model particularly well-suited for professional applications with high precision requirements, such as legal contract analysis, financial data forecasting, and scientific research model design.

Technical Highlights

Evolving Reasoning Chains and Complex Thinking Abilities

Advanced Reasoning: Through the “Thinking” mode, Opus 4.1 can autonomously generate multiple reasoning paths and evaluate them, ensuring that the final selected reasoning path is optimal. Compared to Opus 3, its reasoning capability has improved by about 25%, especially in solving complex multi-step problems where it performs even more prominently.

Deep Simulation and Reflection: The model can simulate reasoning processes under different scenarios, allowing users to perform reverse reasoning and thus better understand the underlying logic of complex problems.

Multi-Modal Capabilities

Integration with External Tools: Opus 4.1 has enhanced its ability to interact with external tools such as databases, API interfaces, and browsers. It can quickly switch task execution modes based on user needs, automatically invoke relevant tools, query data sources, and combine results from multiple tools for comprehensive analysis.

Long-Text Processing and Multi-Task Management

Efficient Context Management: It can handle conversations or task execution chains over longer time spans, making it suitable for applications requiring long-term tracking. Through intelligent splitting and context compression, Opus 4.1 demonstrates stable performance when processing long texts.

High Performance and Optimization

Model Acceleration and Optimization: In data processing and model inference, Opus 4.1 further improves response speed through internal optimizations—including memory management and algorithm adjustments—especially in applications requiring high-frequency interactions, where it performs even more rapidly.

Market Impact

Industry Impact

Enterprise Adoption: Thanks to its powerful reasoning and adaptive capabilities, Opus 4.1 has been adopted by large enterprises across multiple industries, particularly in finance, law, education, and healthcare. Clients such as international law firms and major financial institutions have already begun deploying this model for complex contract analysis, financial forecasting, risk assessment, and other tasks.

Open Source and Enterprise Support: The enhanced reasoning version of Opus 4.1 also provides more tool integration interfaces as open source, enabling developers to customize model application scenarios and accelerating its adoption across various SaaS platforms and tools.

Competitive Advantage

Comparison with Other Large Language Models: Compared to other large language models—such as OpenAI’s GPT-4 and Google’s PaLM 2—Opus 4.1 boasts significant advantages in the precision and efficiency of complex reasoning and task execution. Especially in legal and financial analysis scenarios, Opus 4.1 demonstrates stronger customized reasoning capabilities, with user feedback showing error rates approximately 15%–20% lower than those of other models.

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API Analytics

API Reference (7)

API DescriptionAPI EndpointRequest MethodStabilityParameter Description
Chat(Talk)
POST
Stable
View Details
Chat(Analyze image)
POST
Stable
View Details
Chat(Function Call)
POST
Stable
View Details
Messages(Original format)
POST
Stable
View Details
Messages(Function Call)
POST
Stable
View Details
Messages(Thinking mode)
POST
Stable
View Details
Messages(128k output)
POST
Stable
View Details

API Pricing

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ModelDescriptionContextOfficial Price302.AI Price

claude-opus-4-1-20250805

Cache write: $3.75 /1M tokens, Cache Read: $0.3 /1M tokens
200000

Input$15 / 1M tokens
Output$75 / 1M tokens

Input$15/ 1M tokens
Output$75/ 1M tokens
Original Price