Anthropic API pricing

Anthropic API pricing: current per-token rates

Short answer

Anthropic's current API rates per 1M tokens, input / output / cached-read, verified 2026-10-07. Every rate links to its official source. Claude Haiku 5.5 is priced as shown up to 100,000 input tokens; above that the whole request bills $0.50 input / $2.50 output per 1M (cache read $0.05).

Current Anthropic model prices

ModelInput ($/1M)Output ($/1M)Cached in ($/1M)Context
Claude Fable 5$10$50$11M
Claude Fable 5.1$10$50$0.251M
Claude Haiku 4.5$1$5$0.10200K
Claude Haiku 5.51$0.10$0.50$0.011M
Claude Opus 4.8$5$25$0.501M
Claude Opus 5$5$25$0.501M
Claude Opus 5.5$4$20$0.201M
Claude Sonnet 4.6$3$15$0.301M
Claude Sonnet 5$2$10$0.201M
Claude Sonnet 5.5$2$10$0.101M
  1. Claude Haiku 5.5 is priced as shown up to 100,000 input tokens; above that the whole request bills $0.50 input / $2.50 output per 1M (cache read $0.05).

Subscription vs API: where the plan stops being cheaper

Break-even is the plan's monthly price divided by your blended per-token rate. At Sonnet 5 ($2/$10 per 1M), a 3:1 input:output mix blends to $4 per 1M tokens. Below your plan's break-even the subscription wins; above it, metered API does — and caching pushes the crossover higher.

PlanPriceBreak-even vs API (Sonnet, uncached, 3:1)
Pro$20/mo~5M tokens/mo ($20 ÷ $4)
Max 5x$100/mo~25M tokens/mo ($100 ÷ $4)
Max 20x~$200/mo~50M tokens/mo ($200 ÷ $4)

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Recent price changes

  • Claude Sonnet 5: $3/$15 → $2/$10 per 1M (effective 2026-08-10)

Common questions

Can I use the Anthropic API for free?

No — API access is metered per token at the rates above. Subscriptions (where offered) bundle usage into a flat monthly price; the API itself is pay-as-you-go.

Which model is cheapest?

The lowest input/output rate in the table above for light work; match the model to the task rather than defaulting to the cheapest — routing the hard steps up and the cheap steps down usually beats a single choice.

Sources & provenance

Prices change. Verified 2026-10-07 — re-check the source before relying on them. Corrections: hello@aiarch.dev.

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