Claude Sonnet 4
Anthropic
At a glance
- Price per 1M tokens (input)
- $3.00
- Price per 1M tokens (output)
- $15.00
- Context
- 1,000,000 tokens
- Free access
- yes (see below)
Refreshed daily; data verified August 15, 2026. Published August 12, 2026.
Claude Sonnet 4 by Anthropic is designed for businesses and organizations that require advanced language understanding and generation capabilities. This model is well-suited for tasks that involve image understanding, step-by-step reasoning, and tool calling, which refers to the ability to call external functions or APIs to perform specific tasks. The vendor's approach distinguishes itself through its focus on developing models that can understand and generate human-like language, while also providing a range of tools and features that make it easy to integrate and use the model in a variety of applications. By leveraging this model, businesses can automate complex tasks, improve customer engagement, and gain valuable insights from large amounts of data. The model's capabilities make it a valuable asset for companies looking to improve their language understanding and generation capabilities.
Specifications & pricing
| Input (per 1M tokens) | $3.00 |
|---|---|
| Output (per 1M tokens) | $15.00 |
| Cache read (per 1M tokens) | $0.30 |
| Cache write (per 1M tokens) | $3.75 |
| Context window | 1,000,000 tokens |
| Max output | 64,000 tokens |
| Capabilities | images, tool calling, reasoning |
LiteLLM community dataset (MIT), verified August 15, 2026. Official Anthropic pricing.
What Claude Sonnet 4 would cost on your workload — run it through the cost calculator →
Where to try Claude Sonnet 4 for free
- Anthropic offers a free chat — Claude (free plan). A vendor's free chat may run a different model from the same family — the exact model is not guaranteed.
- 🎁 On our promo-codes page: Claude Code Guest Pass — a community invite.
Frequently asked questions
What is this model good for+
This model is good for tasks that require advanced language understanding and generation, such as image understanding, step-by-step reasoning, and tool calling, which enables the model to call external functions or APIs to perform specific tasks
How do I get started with this model+
To get started with this model, you will need to integrate it into your application or system, which can be done through a range of APIs and software development kits provided by the vendor
How does this model differ from other models in the line+
This model differs from other models in the line through its advanced capabilities, including image understanding and tool calling, which make it well-suited for complex tasks that require a range of skills and abilities
What are the limitations of this model+
The limitations of this model include its potential difficulty of use for certain applications or tasks, and its requirement for significant computational resources to function effectively
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