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Claude 4 models on web and app: Overview of Sonnet 4 and Opus 4 capabilities, use cases, and technical benchmarks (Mid‑2025)

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Claude Sonnet 4 handles long documents, precise tasks, and agent-level reasoning.

Claude Sonnet 4 is the most versatile model currently available for both free and paid users on the Claude web interface and mobile app. It was introduced as part of Anthropic's Claude 4 family and is designed to balance speed, context memory, and reasoning quality. This model offers a context window of up to 200,000 tokens and can generate up to 64,000 tokens in output, making it ideal for extended document processing, deep summarization, or complex question-answering tasks.



It also features an experimental Extended Thinking mode, allowing the AI to simulate deep internal reasoning or coordinate multiple subtasks through parallel execution of external tools. Although this mode is still in beta, it already supports workflows that would normally require multiple queries or user supervision. Sonnet 4 integrates memory enhancements as well—retaining and referencing prior interactions within long threads or multi-session work.

Benchmarks confirm that Claude Sonnet 4 outperforms earlier Claude 3.x models, with a 65% reduction in shortcutting behavior and significant improvement in coding benchmarks such as SWE‑bench. Its safety alignment is rated ASL‑2, meaning it was built to maintain robust output boundaries while remaining versatile across everyday and enterprise-level use.


Sonnet 4 is ideal for users seeking an intelligent, context-aware model that can:

  • Process contracts, legal files, and internal documentation up to hundreds of pages.

  • Generate structured content, reports, or meeting transcripts with continuity and precision.

  • Debug or rewrite medium-complexity code, handle refactoring, and comment blocks line by line.

  • Act as a general assistant for planning, synthesis, and long-form text generation.



Claude Opus 4 offers full autonomous agent capability and leads in AI coding benchmarks.

Claude Opus 4 is Anthropic’s most advanced model to date and is only available through paid plans (Pro, Team, Enterprise) or cloud integrations via Amazon Bedrock and Google Cloud Vertex AI. Built for autonomy and endurance, it delivers exceptional performance on multi-step reasoning tasks, extended coding sessions, and research-level synthesis.

It shares the same 200,000-token context length as Sonnet 4, but with a more optimized output token capacity (up to 32,000), suited for modular generation rather than massive single outputs. Opus 4 was trained and evaluated under ASL‑3, a stricter safety alignment level, due to its ability to perform autonomous, high-impact tasks without explicit user control.


The model includes Claude Code Agent, a background execution system that allows it to manage coding tasks over time. It supports scripting, error detection, implementation, and iterative improvement—without re-prompting. Developers can initiate a complex project and let Opus operate semi-independently, returning only at critical checkpoints or for review.



Opus 4 has achieved top-tier results on:

  • SWE‑bench (72.5%) – outperforming GPT-4.1 and Claude 3.5 by a large margin in software engineering testbeds.

  • TerminalBench (43.2%) – demonstrating command-line simulation skills for DevOps and system-level tasks.

  • Toolformer/AgentEval benchmarks – confirming its capacity to coordinate tools, retrieve knowledge, and manage sequences without falling into hallucination or repetition.

This model is purpose-built for users who demand:

  • Fully autonomous agents capable of completing research or dev tasks over hours.

  • Long-term document synthesis, reasoning chains, or regulatory/compliance assessments.

  • Efficient AI-driven development teams where the model can write, test, debug, and version code continuously.

  • Secure environments with precise control and internal auditing for sensitive enterprise scenarios.


Main differences between Claude Sonnet 4 and Claude Opus 4

Although both models belong to the same Claude 4 generation and share many technical underpinnings, their usage profiles differ substantially. Sonnet 4 is tailored to a broader audience, providing access to powerful capabilities without the cost barrier. Opus 4, in contrast, is built for endurance, autonomy, and high-stakes deployment across enterprise or AI-agent ecosystems.



Feature

Claude Sonnet 4

Claude Opus 4

Access

Free + Pro Plans

Paid Only (Pro, Team, Enterprise, API)

Context Window

200,000 tokens

200,000 tokens

Output Limit

Up to 64,000 tokens

Up to 32,000 tokens

Extended Thinking

Beta mode available

Full mode with agent chaining

Coding Agent

Assisted workflows

Fully autonomous Claude Code Agent

Benchmark (SWE‑bench)

~72%

~72.5%

Safety Alignment Level

ASL‑2

ASL‑3

Ideal For

Content, docs, reasoning, medium coding

Advanced coding, AI agents, orchestration


Claude on web and mobile app: interface, access, and model switching

Both Claude Sonnet 4 and Claude Opus 4 are accessible from Anthropic’s official claude.ai interface, as well as from the iOS and Android apps launched in early 2025. Model switching is seamless: free users are automatically assigned Sonnet 4, while Pro or Team subscribers can toggle between Sonnet and Opus based on the complexity of the task.

The app version supports full document upload (PDF, DOCX, etc.), live chat memory, and shared threads. However, certain advanced features like Claude Code Agent or memory linking across sessions are only fully unlocked on web or desktop environments with Pro-level access.

Anthropic is progressively enhancing its mobile capabilities, including experimental tools such as system-wide integration, context injection from phone notes or emails, and future voice assistant support—pending platform approvals.



If you're looking to explore Sonnet 4 for its vast context or use Opus 4 for serious software development or agent applications, the Claude platform currently offers one of the most balanced ecosystems between safety, power, and reasoning capability in the AI space.


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