LLMCost
~anthropic

Anthropic: Claude Haiku Latest API Pricing

Anthropic: Claude Haiku Latest costs $0.100 per 1M input tokens and $0.500 per 1M output tokens (cache reads: $0.010). Context window: 1M. Prices verified 2026-10-21 · source

🔔 Price alerts coming soon
Price history
2026-08-23 → 2026-10-21 · 59 daily snapshots
inputoutputinput -90% over windowoutput -90%

Rebuilt daily from our snapshot archive — the chart appears once a model has 5+ snapshots of history.

Pricing behavior
2 price changes in the last 59 daily snapshots
Last move (2026-10-08): input -90%
Net input drift: -90% since 2026-08-23

From our own daily snapshot archive — independent of provider announcements.

Input / 1M tokens
$0.100
Output / 1M tokens
$0.500
Context window
1M
Max output
128K

Token economics

Token typePricevs base input
Standard input$0.100—
Cache read$0.010−90%
Cache write (5m)$0.125+25%
Cache write (1h TTL)$0.200+100%
Output$0.500—
Web search tool$10/1k searches—

Prompt caching stores repeated context server-side: reads cost far less, but writes carry a one-time premium.

Reasoning behavior
Mode: Off by default (opt-in)
Effort levels:maxxhighhighmediumlownone

Higher effort = deeper thinking = more reasoning tokens billed as output.

What would Anthropic: Claude Haiku Latest cost you per month?

WorkloadRequests/moAvg tokens (in/out)Est. monthly cost
Light chatbot10,000800 / 400$2.80
Coding agent5,0008,000 / 2,000$9.00
RAG pipeline30,0004,000 / 500$19.50
Doc summarizer2,00020,000 / 1,000$5.00

Estimates use list prices without prompt caching. Caching can cut input cost by up to 90% on repeated context.

About Anthropic: Claude Haiku Latest

This model always redirects to the latest model in the Claude Haiku family.

Compare Anthropic: Claude Haiku Latest with

Popular head-to-heads — see all on the comparisons index.

Frequently asked questions

How much does Anthropic: Claude Haiku Latest cost?

Anthropic: Claude Haiku Latest costs $0.100 per 1M input tokens and $0.500 per 1M output tokens; cached input tokens cost $0.010 per 1M. Verified 2026-10-21 — provider source.

What is the context window?

1M tokens, with up to 128K output tokens per response. That's roughly 1250 pages of text in a single request.

Does it support prompt caching?

Yes — cached input is $0.010/1M, about 90% cheaper than standard input. Agents and RAG workloads with repeated context benefit most.

What's a cheaper alternative?

ScaleDown: Summarize saves about 87% on a typical workload with comparable quality.

Official resources