---
title: "Claude Haiku 4.5 API Pricing"
source_api: "anthropic"
model: "claude-haiku-4-5-20251001"
provider: "Anthropic"
model_type: "llm"
size_tier: "small"
context_window: 200000
max_output_tokens: 64000
input_modalities: ["image","text"]
output_modalities: ["text"]
weights_access: closed
canonical_url: https://coolhandlabs.com/inference-apis/anthropic-claude-haiku-4-5-20251001
index_url: https://coolhandlabs.com/inference-apis
---

# Claude Haiku 4.5 sticker prices

List rates as published by Anthropic, before any volume or enterprise discounts.

| Field | Value |
|---|---|
| Provider | Anthropic |
| Model type | LLM — Generates text from a prompt, so it can be compared with other LLMs on price and capability. |
| Size tier | Small — The fast, low-latency tier of a model family, suited to high-volume or simple tasks. |
| Pricing published by | Anthropic |
| Input modalities | Image, Text |
| Output modalities | Text |
| Input cost | $1.00 / 1M tokens |
| Output cost | $5.00 / 1M tokens |
| Context window | 200,000 tokens |
| Max output tokens | 64,000 tokens per response (includes reasoning tokens) |
| Model weights | Closed weights |
| Batch input / output | $0.50 / $2.50 per 1M |
| Cached input | $0.10 / 1M tokens |
| Cache creation | $1.25 / 1M tokens |
| 5-minute cache write | $1.25 / 1M tokens |
| Capabilities | Tool calling, Structured output, Reasoning, Vision, Streaming, Prompt caching |
| Knowledge cutoff | July 2025 |
| Deprecated | No |
| Verification status | Awaiting human review |


## Get this data free

Want to stay updated on price changes on this model? Pull this data free (no API key required):

```
curl "https://coolhandlabs.com/api/v2/inference_apis?q%5Bmodel_eq%5D=claude-haiku-4-5-20251001&q%5Bsource_api_eq%5D=anthropic"
```

Full REST API docs: https://coolhandlabs.com/docs

## Pricing History

- Mar 16, 2026 – present: Input cost: $1.00 / 1M, Output cost: $5.00 / 1M, Batch input cost: $0.50 / 1M, Batch output cost: $2.50 / 1M, Cached input cost: $0.10 / 1M, Cache creation cost: $1.25 / 1M, 5-minute cache write cost: $1.25 / 1M, 1-hour cache write cost: $0.00 / 1M, Reasoning output cost: $0.00 / 1M, Cache storage cost: $0.00 / 1M/hr

## History

Last change detected: 2026-09-28T06:01:06Z (automated scan)

- 2026-03-16 (automated scan):
Initial record created

## Source

https://www.anthropic.com/pricing

## Comparable models

| Metric | Claude Haiku 4.5 (this model) | [Claude Sonnet 5](https://coolhandlabs.com/inference-apis/anthropic-claude-sonnet-5) (newer, same tier) |
|---|---|---|
| Provider | Anthropic | Anthropic |
| Input modalities | Image, Text | Image, Text |
| Output modalities | Text | Text |
| Input cost | $1.00/1M | $2.00/1M |
| Output cost | $5.00/1M | $10.00/1M |
| Context window | 200,000 tokens | 1,000,000 tokens |
| Max output tokens | 64,000 tokens | 128,000 tokens |
| Capabilities | Tool calling, Structured output, Reasoning, Vision, Streaming, Prompt caching | Tool calling, Structured output, Reasoning, Vision, Streaming, Prompt caching |
| Knowledge cutoff | July 2025 | January 2026 |
| Status | Active | Active |

## What other models does Anthropic offer?

| Model | Input cost | Output cost | Max output tokens | Status |
|---|---|---|---|---|
| [Claude Opus 4](https://coolhandlabs.com/inference-apis/anthropic-claude-opus-4-20250514) | $15.00/1M | $75.00/1M | — | Deprecated 2026-07-13 |
| [Claude Sonnet 4](https://coolhandlabs.com/inference-apis/anthropic-claude-sonnet-4-20250514) | $3.00/1M | $15.00/1M | — | Deprecated 2026-07-13 |
| [Claude Opus 4.1](https://coolhandlabs.com/inference-apis/anthropic-claude-opus-4-1-20250805) | $15.00/1M | $75.00/1M | — | Deprecated 2026-07-13 |
| [Claude Fable 5](https://coolhandlabs.com/inference-apis/anthropic-claude-fable-5) | $10.00/1M | $50.00/1M | 128,000 | Active |
| [Claude Haiku 4.5](https://coolhandlabs.com/inference-apis/anthropic-claude-haiku-4-5) | $1.00/1M | $5.00/1M | 64,000 | Active |
| [Claude Opus 4.5](https://coolhandlabs.com/inference-apis/anthropic-claude-opus-4-5-20251101) | $5.00/1M | $25.00/1M | 64,000 | Active |

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