Claude Opus 4.8
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 image understanding and step-by-step reasoning capabilities. This model suits tasks such as image analysis, automated decision-making, and complex problem-solving. The vendor's approach distinguishes itself through its emphasis on tool calling, which allows the model to leverage external functions and services to enhance its capabilities. By combining image understanding with tool calling and step-by-step reasoning, the Claude Opus model provides a powerful tool for businesses to automate and optimize their processes. The model's capabilities make it an ideal choice for applications where visual data needs to be analyzed and acted upon in a logical and methodical manner.
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 4.8 would cost on your workload — run it through the cost calculator →
Where to try Claude Opus 4.8 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 well-suited for tasks that involve image analysis, automated decision-making, and complex problem-solving, making it a valuable tool for businesses that need to extract insights from visual data and make informed decisions based on that information
How do I get started with the Claude Opus model+
To get started with the Claude Opus model, users should familiarize themselves with the concept of tool calling, which refers to the model's ability to call external functions and services to enhance its capabilities, and then explore the various applications and interfaces through which the model can be accessed and utilized
How does the Claude Opus model differ from other models in the line+
The Claude Opus model differs from other models in the line through its unique combination of image understanding, tool calling, and step-by-step reasoning capabilities, which set it apart from other models that may specialize in only one or two of these areas
What are the limitations of the Claude Opus model+
The limitations of the Claude Opus model include its reliance on the quality and availability of external functions and services, as well as its potential vulnerability to biases and errors in the data on which it is trained, which can impact its performance and accuracy in certain applications and scenarios
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