Claude Haiku 4.5
Anthropic
At a glance
- Price per 1M tokens (input)
- $1.00
- Price per 1M tokens (output)
- $5.00
- Context
- 200,000 tokens
- Free access
- yes (see below)
Refreshed daily; data verified August 15, 2026. Published August 9, 2026.
The Claude Haiku model is suited for businesses and organizations that require a versatile language model for tasks such as image understanding and step-by-step reasoning. This model is particularly useful for applications that involve analyzing visual data and generating text-based responses. The vendor's approach to developing this model focuses on enabling it to call external tools and functions, also known as tool calling, which allows it to leverage additional capabilities and knowledge sources. This feature, combined with its image understanding and reasoning capabilities, makes the Claude Haiku model a valuable asset for a wide range of applications. The model's ability to break down complex tasks into manageable steps and reason through them systematically is a key distinguishing factor.
Specifications & pricing
| Input (per 1M tokens) | $1.00 |
|---|---|
| Output (per 1M tokens) | $5.00 |
| Cache read (per 1M tokens) | $0.10 |
| Cache write (per 1M tokens) | $1.25 |
| Context window | 200,000 tokens |
| Max output | 64,000 tokens |
| Capabilities | images, tool calling, reasoning |
LiteLLM community dataset (MIT), verified August 15, 2026. Official Anthropic pricing.
What Claude Haiku 4.5 would cost on your workload — run it through the cost calculator →
Where to try Claude Haiku 4.5 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 kind of tasks is the Claude Haiku model good for+
The Claude Haiku model is well-suited for tasks that involve image understanding, such as analyzing visual data and generating text-based responses, as well as tasks that require step-by-step reasoning and tool calling, which involves calling external tools and functions to leverage additional capabilities and knowledge sources
How do I get started with the Claude Haiku model+
To get started with the Claude Haiku model, you will need to integrate it into your application or system, which may involve setting up an interface to interact with the model and configuring it to call external tools and functions as needed
How does the Claude Haiku model differ from other models in the line+
The Claude Haiku model differs from other models in the line in its focus on image understanding and tool calling, which sets it apart from models that may focus more on text-based tasks or have different capabilities and features
What are the limitations of the Claude Haiku model+
The limitations of the Claude Haiku model include its potential difficulty in handling very complex or nuanced tasks, as well as its reliance on the quality and availability of the external tools and functions it calls, which can affect its overall performance and accuracy
Comparisons
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