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Model comparison - Same provider, successor

Claude Haiku 4.5 vs Claude Haiku 5.5

Claude Haiku 4.5 and Claude Haiku 5.5 are both Anthropic models. On list price, Claude Haiku 4.5 charges 10x Claude Haiku 5.5's input price ($1 vs $0.10 per 1M tokens), and Claude Haiku 4.5 charges 10x Claude Haiku 5.5's output price ($5 vs $0.50 per 1M tokens). Claude Haiku 4.5 has a 200,000-token context window and Claude Haiku 5.5 1,000,000 tokens; max output is 64,000 and 128,000 tokens per response. Claude Haiku 4.5 was released on October 15, 2025 and Claude Haiku 5.5 on October 7, 2026. Both are closed-weights models, available only through an API.

Last verified from each provider's pricing page. All sources

Anthropic - Closed

Claude Haiku 4.5
Input / 1M
$1
Output / 1M
$5
Context
200K

Anthropic - Closed

Claude Haiku 5.5
Input / 1M
$0.10
Output / 1M
$0.50
Context
1M

Side-by-side specs

SpecClaude Haiku 4.5Claude Haiku 5.5
ProviderAnthropicAnthropic
Input / 1M tokens$1$0.10
Output / 1M tokens$5$0.50
Cache read / 1M$0.10$0.01
Cache write / 1M$1.25$0.125
Batch input / 1M$0.50$0.05
Batch output / 1M$2.50$0.25
Long-context rates above-100,000 tokens
Context window200,0001,000,000
Max output64,000128,000
Release date
WeightsClosedClosed
API model idclaude-haiku-4-5-20251001claude-haiku-5-5
AI Gateway idanthropic/claude-haiku-4.5anthropic/claude-haiku-5.5
Last verified

Prices in USD per 1M tokens at each provider's standard first-party rate. A dash means the provider does not bill that item separately or no primary page states it.

What each costs in practice

The same three workloads every model page uses, worked from each model's standard list rates. Swap in your own token counts with the math on each model's page.

WorkloadClaude Haiku 4.5Claude Haiku 5.5
One agent session1M input tokens and 100K output tokens, no caching.$1.50$0.15
A chat app10,000 requests a day at 2K input and 500 output tokens each.$45.00$1,350.00 per 30-day month$4.50$135.00 per 30-day month
The same session at a 90% cache hit90% of the input is read from the prompt cache. The one-time cache write premium is not included.$0.69$0.069
Show the math

Claude Haiku 4.5

  • One agent sessionInput: 1M x $1 = $1.00Output: 0.1M x $5 = $0.50
  • A chat appInput: 20M x $1 = $20.00Output: 5M x $5 = $25.00
  • The same session at a 90% cache hitCached input: 0.9M x $0.10 = $0.09Uncached input: 0.1M x $1 = $0.10Output: 0.1M x $5 = $0.50

Claude Haiku 5.5

  • One agent sessionInput: 1M x $0.10 = $0.10Output: 0.1M x $0.50 = $0.05
  • A chat appInput: 20M x $0.10 = $2.00Output: 5M x $0.50 = $2.50
  • The same session at a 90% cache hitCached input: 0.9M x $0.01 = $0.009Uncached input: 0.1M x $0.10 = $0.01Output: 0.1M x $0.50 = $0.05

Benchmarks under the same setting

No board in the benchmark directory lists both Claude Haiku 4.5 and Claude Haiku 5.5 under the same setting, so there is no like-for-like score to show here.

Model pages

FAQ

How do Claude Haiku 4.5 and Claude Haiku 5.5 compare on price?

On list price, Claude Haiku 4.5 charges 10x Claude Haiku 5.5's input price ($1 vs $0.10 per 1M tokens), and Claude Haiku 4.5 charges 10x Claude Haiku 5.5's output price ($5 vs $0.50 per 1M tokens). For one agent session of 1M input and 100K output tokens with no caching, that is $1.50 on Claude Haiku 4.5 and $0.15 on Claude Haiku 5.5. Prices are each provider's first-party list rates, verified October 17, 2026 and October 17, 2026.

What are the context windows of Claude Haiku 4.5 and Claude Haiku 5.5?

Claude Haiku 4.5 has a 200,000-token context window and Claude Haiku 5.5 1,000,000 tokens; max output is 64,000 and 128,000 tokens per response.

Are Claude Haiku 4.5 and Claude Haiku 5.5 open weights?

Claude Haiku 4.5 is closed-weights and is called through Anthropic's API as claude-haiku-4-5-20251001. Claude Haiku 5.5 is closed-weights and is called through Anthropic's API as claude-haiku-5-5.

More comparisons

Sources

Claude Haiku 4.5 verified from platform.claude.com; Claude Haiku 5.5 verified from platform.claude.com. This page is as current as the older of the two: .

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