Claude Opus 4 Reviews & Ratings

Claude Opus 4

5.0 out of 5 stars

Ratings and Reviews 0 Ratings

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ease 0 out of 5 stars
features 0 out of 5 stars
design 0 out of 5 stars
support 0 out of 5 stars

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Total 5 out of 5 stars
ease 5 out of 5 stars
features 5 out of 5 stars
design 5 out of 5 stars
support 5 out of 5 stars

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What is GPT-5.1 Thinking?

GPT-5.1 Thinking is an advanced reasoning model within the GPT-5.1 series, designed to effectively manage "thinking time" based on the difficulty of prompts, thus facilitating faster responses to simple questions while allocating more resources to complex challenges. When compared to its predecessor, this model boasts nearly double the efficiency for straightforward tasks and requires twice the time for more intricate inquiries. It prioritizes the clarity of its answers, steering clear of jargon and ambiguous terms, which significantly improves the understanding of complex analytical tasks. The model skillfully adjusts its depth of reasoning, striking a balance between speed and thoroughness, particularly when it comes to technical topics or inquiries requiring multiple steps. By combining powerful reasoning capabilities with improved clarity, GPT-5.1 Thinking stands out as an essential tool for managing complex projects, such as detailed analyses, coding, research, or technical conversations, while also reducing wait times for simpler requests. This enhancement not only aids users in need of quick solutions but also effectively supports those engaged in higher-level cognitive tasks, making it a versatile asset in various contexts of use. Overall, GPT-5.1 Thinking represents a significant leap forward in processing efficiency and user engagement.

What is Claude Opus 4?

Claude Opus 4, the most advanced model in the Claude family, is built to handle the most complex software engineering tasks with ease. It outperforms all previous models, including Sonnet, with exceptional benchmarks in coding precision, debugging, and complex multi-step workflows. Opus 4 is tailored for developers and teams who need a high-performance AI that can tackle challenges over extended periods—perfect for real-time collaboration and long-duration tasks. Its efficiency in multi-agent workflows and problem-solving makes it ideal for companies looking to integrate AI into their development process for sustained impact. Available via the Anthropic API, Amazon Bedrock, and Gemini Enterprise Agent Platform, Opus 4 offers a robust tool for teams working on cutting-edge software development and research.

Media

Media

Integrations Supported

AiAssistWorks
Bash
C++
CSS
FastRouter
Gemini Enterprise Agent Platform
Go
HTML
Java
Kotlin
Microsoft Foundry
Node.js
OpenCode
PHP
PowerShell
Python
React
Rust
SQL
TypeScript

Integrations Supported

AiAssistWorks
Bash
C++
CSS
FastRouter
Gemini Enterprise Agent Platform
Go
HTML
Java
Kotlin
Microsoft Foundry
Node.js
OpenCode
PHP
PowerShell
Python
React
Rust
SQL
TypeScript

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided

Pricing Information

$15 / 1 million tokens (input)
Input: $15 per 1 million tokens
Output: $75 per 1 million tokens

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac

Supported Platforms

SaaS

Customer Service / Support

Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub

Training Options

Documentation Hub

Company Facts

Organization Name

OpenAI

Date Founded

2015

Company Location

United States

Company Website

openai.com/index/gpt-5-1/

Company Facts

Organization Name

Anthropic

Date Founded

2021

Company Location

United States

Company Website

claude.ai

Categories and Features

AI Coding Models

Not specified

AI Models

Not specified

AI Reasoning Models

Not specified

Foundation Models

Not specified

Large Language Models

Not specified

Categories and Features

Agentic AI

Not specified

AI Agents

Not specified

AI Coding Models

Not specified

AI Models

Not specified

AI Reasoning Models

Not specified

Foundation Models

Not specified

Large Language Models

Not specified

Multimodal Models

Not specified

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