Last verified 2026-02-11 (left) · 2026-02-11 (right)

Claude Haiku 4.5 vs Claude Sonnet 4.5 — Pricing & Capability Comparison

Claude Haiku 4.5 charges $1.00 per million input tokens and $5.00 per million output tokens. Claude Sonnet 4.5 comes in at $3.00 / $15.00. Context windows span 200K vs 200K tokens respectively.

TL;DR — Quick Comparison

✓Claude Haiku 4.5 is cheaper overall: $6.00 per 1M tokens (in+out) vs $18.00 for Claude Sonnet 4.5 — saves $12.00 per 1M tokens
✓Input pricing: Claude Haiku 4.5 $1.00/1M vs Claude Sonnet 4.5 $3.00/1M
✓Output pricing: Claude Haiku 4.5 $5.00/1M vs Claude Sonnet 4.5 $15.00/1M
✓Context window: Claude Haiku 4.5 offers more (200K vs 200K)
✓Use our calculator below to estimate costs for your specific usage pattern

Input price (per 1M)

Claude Haiku 4.5

$1.00

Claude Sonnet 4.5

$3.00

Claude Haiku 4.5 leads here

Output price (per 1M)

Claude Haiku 4.5

$5.00

Claude Sonnet 4.5

$15.00

Claude Haiku 4.5 leads here

Context window

Claude Haiku 4.5

200,000 tokens

Claude Sonnet 4.5

200,000 tokens

Claude Haiku 4.5 leads here

Cached input

Claude Haiku 4.5

$0.100

Claude Sonnet 4.5

$0.300

Claude Haiku 4.5 leads here

Which one should you choose?

Skip the spreadsheet if you just need the practical takeaway. Use these rules when deciding between Claude Haiku 4.5 and Claude Sonnet 4.5.

Choose Claude Haiku 4.5 if input tokens dominate your bill

Claude Haiku 4.5 has the lower input rate, which usually matters most for chat, RAG, classification, and long-prompt workflows where prompt volume stays much larger than generated output.

Choose Claude Haiku 4.5 if you generate long answers

Claude Haiku 4.5 is cheaper on output tokens, so it tends to win for report generation, coding assistance, reasoning traces, and any workflow where completions are long.

Choose Claude Haiku 4.5 if context size is the blocker

Claude Haiku 4.5 offers the larger published context window, which is more important than small pricing differences when you need to fit large files, long chats, or multi-document prompts into one request.

Cost comparison for 10K-token workloads

Side-by-side pricing for identical workloads (10,000 total tokens per request) across different distributions.

Scenario	Claude Haiku 4.5	Claude Sonnet 4.5	Claude Haiku 4.5 cached	Claude Sonnet 4.5 cached
Balanced conversation 50% input · 50% output	$0.0300	$0.0900	$0.0255	$0.0765
Input-heavy workflow 80% input · 20% output	$0.0180	$0.0540	$0.0108	$0.0324
Generation heavy 30% input · 70% output	$0.0380	$0.114	$0.0353	$0.106
Cached system prompt 90% cached input · 10% fresh output	$0.0140	$0.0420	$0.0059	$0.0177

Frequently asked questions

Which is cheaper: Claude Haiku 4.5 or Claude Sonnet 4.5?

Claude Haiku 4.5 is cheaper for input tokens at $1.00 per 1M tokens compared to $3.00. For output, Claude Haiku 4.5 costs $5.00 per 1M tokens versus $15.00 for Claude Sonnet 4.5.

What is the cost per 1M tokens for Claude Haiku 4.5?

Claude Haiku 4.5 pricing: $1.00 per 1M input tokens and $5.00 per 1M output tokens. Context window: 200,000 tokens.

What is the cost per 1M tokens for Claude Sonnet 4.5?

Claude Sonnet 4.5 pricing: $3.00 per 1M input tokens and $15.00 per 1M output tokens. Context window: 200,000 tokens.

How much does it cost per 1K tokens?

Per 1K tokens: Claude Haiku 4.5 costs $0.0010 input / $0.0050 output. Claude Sonnet 4.5 costs $0.0030 input / $0.0150 output. This is useful for calculating small-scale usage costs.

Which model supports a larger context window?

Claude Haiku 4.5 offers 200,000 tokens (200K) versus 200K for Claude Sonnet 4.5.

What is the estimated monthly cost for typical usage?

For a typical workload of 10M input + 2M output tokens per month: Claude Haiku 4.5 would cost approximately $20.00, while Claude Sonnet 4.5 would cost $60.00. Claude Haiku 4.5 is more economical for this usage pattern.

Do these models support prompt caching?

Claude Haiku 4.5 supports prompt caching at $0.100 per 1M cached tokens, reducing costs for repeated context by up to 90%. Claude Sonnet 4.5 supports caching at $0.300 per 1M tokens, saving up to 90%.

Which model is best for my use case?

Choose Claude Haiku 4.5 for cost-sensitive applications with high input volume. Choose Claude Haiku 4.5 if you need 200K context for long documents or conversations. Consider prompt caching if you have repeated context. Use our token calculator to model your specific usage pattern.