Model Profile: Claude 4 Sonnet (Anthropic)

Explore Anthropic's Claude 4 Sonnet, their latest general-purpose model offering near state-of-the-art performance with a balance of speed, cost, and native image/PDF input on allmates.ai.

Last updated 8 months ago

Tagline: Anthropic's latest general-purpose model: balanced speed, cost, and near state-of-the-art performance with native Image & PDF input.

📊 At a Glance

  • Primary Strength: Excellent All-Around Performance, Leading Coding, Strong Reasoning, Large Context, Native Image & PDF Input.

  • Performance Profile:

    • Intelligence: 🟢 Highest (Near SOTA)

    • Speed: 🟢 Faster (Balanced for its power)

    • Cost: 🟡 Medium (More affordable than Opus 4)

  • Key Differentiator: State-of-the-art coding (72.7% on SWE-bench), "extended thinking" with summarization, 200K context window, and native understanding of images and PDFs.

  • allmates.ai Recommendation: The go-to model for most demanding tasks on allmates.ai, including advanced coding, complex reasoning, high-quality content creation, and analysis of documents including images and PDFs.

📖 Overview

Claude 4 Sonnet, released by Anthropic in May 2025, is their latest-generation general-purpose model. It's designed to offer near state-of-the-art performance across a wide range of tasks, including industry-leading coding capabilities, while maintaining a balance of speed and cost. Sonnet 4 significantly improves upon Claude 3.7 in reasoning and coding, features a large 200K token context window, natively processes text, images, and PDF documents, and introduces "extended thinking" with summarized outputs for more transparent and efficient complex problem-solving. It's positioned as the "fast" Claude 4, suitable for the majority of enterprise workloads.

🛠️ Key Specifications

Feature Detail

Provider

Anthropic

Model Series/Family

Claude 4

Context Window

200,000 tokens

Max Output Tokens

64,000 tokens

Knowledge Cutoff

Mars 2025

Architecture

Proprietary Anthropic architecture, with "extended thinking" features.

🔀 Modalities

  • Input Supported:

    • Text

    • Images

    • PDFs

  • Output Generated:

    • Text

⭐ Core Capabilities Assessment

  • Reasoning & Problem Solving: ⭐⭐⭐⭐⭐ (Exceptional)

    • Builds on Anthropic's strengths with "extended thinking" for complex problems; excellent logical deduction.

  • Writing & Content Creation: ⭐⭐⭐⭐⭐ (Exceptional)

    • Produces high-quality, nuanced writing, often indistinguishable from human work; excels at following complex style instructions.

  • Coding & Development: ⭐⭐⭐⭐⭐ (Exceptional)

    • State-of-the-art performance (72.7% on SWE-bench), making it one of the best available coding models.

  • Mathematical & Scientific Tasks: ⭐⭐⭐⭐✰ (Very Strong)

    • Highly capable in solving complex math and scientific problems, aided by strong reasoning.

  • Instruction Following: ⭐⭐⭐⭐✰ (Very Strong)

    • Excellent at adhering to complex and multi-part instructions.

  • Factual Accuracy & Knowledge: ⭐⭐⭐⭐⭐ (Exceptional)

    • Improved factual accuracy and a broad, up-to-date knowledge base.

🚀 Performance & 💰 Cost

  • Speed / Latency: Faster (Balanced for its size)

    • Designed to be practical for regular use, faster than Opus 4.

  • Pricing Tier (on allmates.ai): Medium

    • Priced the same as Claude 3.7 Sonnet ($3/M input, $15/M output tokens), offering significantly more capability for the same cost.

✨ Key Features & Strengths

  • Native Image & PDF Understanding: Can directly process and reason about content within images and PDF documents.

  • State-of-the-Art Coding: Industry-leading performance on coding benchmarks.

  • Advanced Reasoning: "Extended thinking" with summarized outputs for complex tasks.

  • Large Context Window: 200K tokens for processing extensive documents.

  • Balanced Performance & Cost: Near top-tier capabilities at a more accessible price point than Opus 4.

  • Advanced Tool Use: Integrated code execution and interleaved thinking with tools.

🎯 Ideal Use Cases on allmates.ai

  • Analysis of Visual & Textual Documents: Mates processing reports, presentations, or technical manuals containing images, charts, and text (including PDFs).

  • Advanced Software Development: Mates for complex code generation, debugging, and architectural suggestions.

  • Complex Problem Solving & Analysis: Mates tackling intricate business logic, strategic planning, or research synthesis from diverse document types.

  • High-Quality Content Creation: Mates drafting sophisticated reports, technical documentation, or nuanced marketing copy, potentially referencing visual elements.

  • General Purpose High-Capability Mates: When a versatile, highly intelligent, and responsive Mate is required for diverse tasks involving text, images, or PDFs.

⚠️ Limitations & Considerations

  • Audio/Video Input: Does not natively support audio or video modalities.

  • Cost for Simpler Tasks: While balanced, might be overkill for very simple, high-volume tasks where a smaller model would suffice.

🏷️ Available Versions & Snapshots (on allmates.ai)

  • claude-4-sonnet (or similar, alias pointing to the recommended version)