In May 2025, Anthropic’s comprehensive platform introduced Claude 4, a family of language models that seeks to improve reasoning and agentive tasks.
With variants like Opus 4 (updated to 4.1 in August) and Sonnet 4, this iteration directly competes with giants like OpenAI’s GPT-4o and Google’s Gemini.
When exploring Algorithms and Artificial Intelligence, Claude 4 stands out for its advanced reasoning that promises to raise the quality of the generated code. But is Claude 4 a revolution or just an incremental improvement? We analyze your capabilities, strengths and limitations.
The variants of Claude 4: Opus and Sonnet
Claude 4 is not a single model, but a suite adapted to different uses. Each version has a clear focus according to the user’s needs.
Opus 4: the titan of complex reasoning
Opus 4, and its 4.1 update, is the flagship model. It is optimized for complex deep reasoning tasks, coding, and agentive workflows, i.e. those that require multiple steps and interaction with external tools.
Its most distinctive feature is “extended thinking”, which allows deliberation over long periods, reducing errors and increasing coherence. This makes it ideal for software engineers, data analysts and strategic projects that demand impeccable precision and logic.
Opus maintains a persistent memory for hours, which allows it to manage development projects that require remembering previous contexts, something that distinguishes it from many rival models.
Sonnet 4: efficiency and general use
Sonnet 4 is the balanced option of Claude 4. It prioritizes speed and efficiency, making it perfect for high-volume tasks such as document summaries, real-time chat support or content generation.
Although it does not reach the accuracy of Opus in complex reasoning, its performance is still notable.
Starting in August 2025, the expanded context window in beta allows up to 1 million tokens to be processed, expanding its usefulness for massive code bases, lengthy legal documents, or any task that requires handling large volumes of text at once.
Both models support multilingualism and limited vision, although they do not yet fully process audio or video.
How is the performance of Claude 4?
Claude 4 especially excels in coding and reasoning:
- Leadership in coding: In the SWE-bench benchmark, Opus 4 achieves 72.5% success, surpassing GPT-4.1’s 54.6%.
- Agentive tasks: Opus obtains 81.4% in TAU-bench, demonstrating its capacity for complex workflows.
- Multitasking understanding: Both models achieve around 88% in MMLU, comparable to other leading models.
Extended thinking in practice
Opus 4 fixes Python scripts with detailed explanations, while Sonnet 4 excels in coherent creative writing. The extended thinking feature allows Claude to deliberate longer, resulting in fewer errors and more consistent responses.
On social networks, users have shared innovative uses, such as QA automation or integration with tools such as Cursor and MCP to optimize workflows.
Safety and ethics
Security is a central pillar in the design of Claude 4. The model rejects up to 70% of uncertain questions and avoids generating harmful content. In ethically complex scenarios, Claude 4 warns of potential immoral behavior, which has sparked debates about the ethical alignment of AI and its role in decision-making.
Strengths and weaknesses
Pros:
- Leader in coding and reasoning, especially Opus 4.
- Cost efficient: Sonnet offers solid performance at a low price.
- Versatile integrations: Available in Claude.ai, AWS Bedrock and Google Vertex AI.
- Safe and coherent responses, with lower risk of hallucinations.
- Extended thinking that reduces errors in complex tasks.
Cons:
- It is not completely multimodal: it does not process images or audio comprehensively.
- Limited initial context window: Sonnet has improved to 1M tokens in beta, but rivals like Gemini offer more.
- Opus can be slow on simple queries; Sonnet can stretch a lot, without providing much value.
- Opus requires subscription to access advanced capabilities.
Claude 4 against the competition
Compared to other models, Opus 4 outperforms GPT-4o in coding and logic, while GPT-4o leads in speed and multimodal capabilities. Gemini offers more initial context, but Claude is perceived as more cautious and ethical in his responses.
Many developers combine Claude with other LLMs to balance precision and versatility, using Claude for code review and GPT for tasks that require speed or multimodality.
How much does it cost to use Claude 4?
As for pricing and access, individual users can use Sonnet for free with certain limits, while Opus requires a $20/month Pro subscription, which includes extended memory and increased usability.
For developers and enterprises, the Claude 4 API offers competitive rates: Sonnet costs $3 per million input tokens and $15 per million output tokens, while Opus costs $15 and $75 respectively.
Additionally, there are caching options to optimize costs and scalable limits depending on the subscription. Global availability through claude.ai, AWS Bedrock and Google Vertex AI facilitates its integration into enterprise environments, complying with privacy and security regulations.
Practical applications of Claude 4
Claude 4 is used in numerous professional settings. In the business arena, it helps in automated conference planning, code generation for websites and applications, and pattern analysis for financial fraud detection.
Its ability to handle agentive and extended thinking tasks makes it especially useful in complex processes that previously required human intervention.
Users have highlighted its value in QA automation, error correction and creation of hybrid flows where Claude complements other models.
Its integration into platforms such as AWS Bedrock even allows the implementation of automatic code security reviews, proactively detecting vulnerabilities.
Is Claude 4 worth it?
Claude 4 with its variants firmly establishes itself as a powerful tool for fields such as coding and complex reasoning, especially with Opus.
Its performance on key benchmarks and “extended thinking” capabilities make it a top choice for professionals seeking precision and logic in their tasks.
However, its lack of full multimodality (the inability to fully process images or audio) makes it less versatile than some of its rivals for certain uses.
If accuracy in text and code is your priority, Claude 4 is a tool definitely worth trying (even in its free Sonnet version).
However, if your needs lean toward multimedia processing or you require extreme speed on all queries, you may want to consider alternatives.
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