Claude Opus 4.7
Anthropic
At a glance
- Price per 1M tokens (input)
- $5.00
- Price per 1M tokens (output)
- $25.00
- Context
- 1,000,000 tokens
- Free access
- yes (see below)
Refreshed daily; data verified August 16, 2026. Published August 12, 2026.
The Claude Opus model 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 to developing this model focuses on creating a robust and flexible architecture that can be easily integrated into various applications and systems. By leveraging this model, businesses can automate complex tasks, improve decision-making, and enhance customer engagement. The model's ability to understand and generate human-like language makes it an ideal solution for applications that require natural language processing capabilities.
Specifications & pricing
| Input (per 1M tokens) | $5.00 |
|---|---|
| Output (per 1M tokens) | $25.00 |
| Cache read (per 1M tokens) | $0.50 |
| Cache write (per 1M tokens) | $6.25 |
| Context window | 1,000,000 tokens |
| Max output | 128,000 tokens |
| Capabilities | images, tool calling, reasoning |
LiteLLM community dataset (MIT), verified August 16, 2026. Official Anthropic pricing.
What Claude Opus 4.7 would cost on your workload — run it through the cost calculator →
Where to try Claude Opus 4.7 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 the Claude Opus model good for+
The Claude Opus model is good for tasks that require image understanding, step-by-step reasoning, and tool calling, making it suitable for applications such as automated customer support, content generation, and data analysis
How do I get started with the Claude Opus model+
To get started with the Claude Opus model, you will need to integrate it into your application or system, which can be done through APIs or software development kits, and then configure it to perform the desired tasks
How does the Claude Opus model differ from other models in the line+
The Claude Opus model differs from other models in the line in its ability to understand and generate language in a more human-like way, and its focus on step-by-step reasoning and tool calling, making it more suitable for complex tasks that require a deep understanding of language and context
What are the limitations of the Claude Opus model+
The limitations of the Claude Opus model include its potential difficulty in understanding certain types of language or context, and its reliance on the quality of the data used to train it, which can affect its performance and accuracy
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