> ## Documentation Index
> Fetch the complete documentation index at: https://documentation.deepmask.io/llms.txt
> Use this file to discover all available pages before exploring further.

# Haiku 4.5

> Claude Haiku 4.5 by Anthropic — fastest Anthropic model. 200K context, GPQA 73.2%, 0.20s TTFT, 180+ tok/s. Ideal for high-volume tasks and real-time agents.

Haiku 4.5 is Anthropic's most efficient model — designed to deliver 2025 flagship-class intelligence at a fraction of the latency and cost. With a first-token latency of 0.20 seconds and throughput exceeding 180 tokens/sec, it is the first choice for real-time UI agents, high-frequency content moderation, and enterprise workloads that require millions of requests per hour without performance degradation.

## About Haiku 4.5

Released in late 2025, Claude Haiku 4.5 brings enhanced computer use capabilities to the lightweight tier — making it practical not just for chat and classification, but also for simple navigation and form-filling in web browsers and desktop environments. It achieves a 73.2% GPQA Diamond score and a 95% success rate on complex JSON schemas, making it reliable for structured tool-calling pipelines at high volume.

## Key Capabilities

<CardGroup cols={2}>
  <Card title="Instant Tool Calling" icon="bolt">
    Optimized for high-speed function execution with a 95% success rate on complex JSON schemas — reliable enough for production API pipelines.
  </Card>

  <Card title="Computer Use (Light)" icon="mouse-pointer">
    Handles simple navigation and form-filling within web browsers and desktop environments without requiring a heavier model.
  </Card>

  <Card title="Massive Throughput" icon="gauge-max">
    Sustains 180+ tokens/sec across enterprise workloads that require millions of requests per hour without performance degradation.
  </Card>

  <Card title="Advanced Content Moderation" icon="shield-check">
    Context-aware safety filters reduce false positives by 40% compared to previous versions, making moderation pipelines more precise.
  </Card>
</CardGroup>

## Best For

Haiku 4.5 is the right choice when speed and cost efficiency matter more than maximum reasoning depth. It is ideal as the execution layer in multi-agent systems — acting as the fast "hands and eyes" for a larger orchestrating model like Opus or Sonnet. For tasks that require deeper reasoning, complex document analysis, or autonomous multi-step workflows, Sonnet 4.5 or 4.6 is the appropriate step up.

<Tip>
  In multi-agent architectures, consider using Haiku 4.5 to handle repetitive, low-level sub-tasks (data labeling, form extraction, moderation checks) while reserving Sonnet or Opus for planning, summarization, and complex reasoning steps. This pattern can reduce overall costs by 60–80%.
</Tip>

## Use Cases

* **Customer support chatbots** — Near-instant, high-quality responses for global user bases at scale.
* **Large-scale data labeling** — Classifying millions of records with high accuracy for research and model training pipelines.
* **Sub-agent swarms** — Acting as the fast execution layer for larger orchestrating models handling repetitive, low-level tasks.
* **Real-time content moderation** — Context-aware filtering for user-generated content platforms requiring high throughput.

## Specifications

| Specification  | Value                                                  |
| -------------- | ------------------------------------------------------ |
| Provider       | Anthropic                                              |
| Context Window | 200K tokens                                            |
| Reasoning      | Adaptive (Standard/High)                               |
| GPQA Diamond   | 73.2%                                                  |
| Latency (TTFT) | 0.20s                                                  |
| Throughput     | 180+ tokens/sec                                        |
| Key use cases  | High-volume support, coding sub-agents, real-time data |

[Try Haiku 4.5 in DeepMask →](https://chat.deepmask.io/)