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What is Claude 3.5 Sonnet?

Claude 3.5 Sonnet is a fast and powerful language model developed by Anthropic. It delivers high performance across both text and visual tasks, and can easily handle context-intensive work such as long documents, technical content, or coding. With its user-friendly features and “Artifacts” system, it streamlines content creation and editing workflows. Claude 3.5 Sonnet is one of the language models you can choose to enhance your operations. Learn more about it in this article!

Future Technologies Publication Date 19 November 2025 - Update Date 26 November 2025
1.

Key Features of Claude 3.5 Sonnet

Claude 3.5 Sonnet is an advanced language model developed by Anthropic, based on Claude 3 and introduced as the first member of the Claude 3.5 series in 2024. Positioned as a mid-tier model, Claude 3.5 Sonnet stands out with its balanced performance at a cost-efficient level. Let’s take a closer look at what Claude 3.5 Sonnet is and its key features!

AI Claude 3.5 Sonnet offers higher speed and computational efficiency in certain tasks when compared to the Claude 3 Opus model. It also provides advantages in terms of price/performance; for complex workloads such as customer service and multi-step workflows, Claude 3.5 Sonnet proves highly effective. It also performs very well in graduate-level logic and reasoning tests, and can understand highly complex instructions, nuances, and humor. This makes it a highly capable AI language tool for advanced intelligence and reasoning. One of its standout strengths is its improved visual capabilities. The model surpasses its predecessors in visual reasoning, and can even accurately recognize and convert text from distorted or low-quality images.

Artifacts Feature

The model also includes a new workspace system called “Artifacts.” With this feature, code, text, or design outputs generated during your conversation with Claude can be viewed in a separate interactive panel. This enables easier real-time editing and refinement of outputs and supports a more interactive workflow. The model can also process up to 200,000 tokens of context.

Coding Capabilities

Claude 3.5 Sonnet stands out with its strong performance in tasks such as bug fixing and adding code functions. Internal benchmarking reports show that it successfully solved 64% of the coding challenges provided. Thanks to this capability, Claude 3.5 Sonnet delivers competitive performance against rival models such as GPT-4o and Gemini 1.5 Pro in certain university-level coding and technical benchmarks. The model is also effective in updating legacy codebases and performing code migration tasks.

Easy Access, Cost-Effective

The Claude 3.5 Sonnet model is accessible via the Claude.ai website and iOS application. It is also available as a Claude 3.5 Sonnet API and supported through Amazon Bedrock and Google Cloud Vertex AI.

Key Features of Claude 3.5 Sonnet
2.

Claude 3.5 Sonnet vs GPT-4o

The Claude 3.5 Sonnet vs GPT-4o comparison is essential for those who are interested in AI tools and want to make their operations more efficient using artificial intelligence. When evaluating criteria such as reasoning, context window, coding, speed and latency, security, cost, and user experience, the comparison looks like this:

Criteria

Claude 3.5 Sonnet

GPT-4o

Context Window ~200,000 tokens; suitable for long documents and large codebases. ~128K tokens; sufficient for long documents, strong in multimodal tasks.
Reasoning Strong at graduate-level reasoning; strong performance in difficult tests like GPQA. Advantages in broader task diversity.
Coding Strong in code generation and bug fixing; claims of “better code quality than GPT-4o” are limited to specific test scenarios. Strong across languages and tasks; may occasionally include unnecessary libraries.
Visual Capability Effective in interpreting charts and tables, strong at recognizing text in distorted images. Fully multimodal: works with text, image, and audio.
Speed & Latency Competitive speed in text generation and long-context tasks; GPT-4o offers lower latency in real-time multimodal interactions. Low latency; excellent for real-time usage.
Cost More affordable input token pricing. Generally higher input token pricing.
Security More careful and ethical output generation thanks to its Constitutional AI approach. Robust security but with different architectural flexibility.
User Experience More human-like and thoughtful responses; consistent in long-form content. Strong real-time experience with multimodal interactions.

Although both are powerful language models, this comparison shows that each excels in different use cases. Claude 3.5 Sonnet is particularly advantageous for long documents, technical writing, and coding-heavy workflows, while GPT-4o stands out in applications requiring interaction with text, audio, and visuals thanks to its multimodal capabilities. Depending on your operational needs and priorities—whether speed, cost, or security—you can choose between these models. You may also be interested in our article titled What is an LLM? Methods to Maximize Efficiency of Cloud-Based Models.

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