Claude 4 Sonnet
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 4 Sonnet is aimed at enterprises that need reliable multimodal reasoning, such as analyzing images alongside text and orchestrating external services through tool calling. It excels at tasks that require step‑by‑step logical breakdown, detailed report generation, and dynamic interaction with APIs. Anthropic’s approach emphasizes safety‑focused training and transparent reasoning traces, distinguishing it from more generic large language models. The model’s ability to interpret visual content while maintaining consistent, controllable output makes it a practical choice for workflow automation and decision support.
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 4 Sonnet would cost on your workload — run it through the cost calculator →
Where to try Claude 4 Sonnet 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 kinds of business problems is Claude 4 Sonnet best suited for?+
It is well suited for use cases that combine visual data with textual analysis, such as document review with embedded diagrams, product image classification tied to inventory systems, and automated report generation that draws on both image and text inputs.
How do I start using the model with tool calling?+
Begin by enabling the tool‑calling feature in your API request, then define the functions you want the model to invoke; tool calling, which lets the model trigger external functions, works by having the model suggest calls based on the conversation context and return structured arguments that your system can execute.
How does Claude 4 Sonnet differ from other Claude models?+
Compared with earlier Claude releases, Sonnet adds native image understanding and a more robust tool‑calling interface, while preserving the same safety‑first training philosophy; it therefore handles multimodal prompts more reliably than models focused only on text.
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