Anthropic

Claude Haiku 4.5

Anthropic · small. High-volume simple tasks.

The published record

Every number below was read from the provider's own documentation on the date shown. benchr does not restate a figure it has not seen published.

API identifier
claude-haiku-4-5
Context window
200KtokensSource
Maximum output
64KtokensSource
Input
$1.00per 1M tokensSource
Output
$5.00per 1M tokensSource
Cached input
$0.1per 1M tokensSource
Released
October 15, 2025Source
License
Proprietary

Record verified May 31, 2026 — read 98 days ago, and a price can move in a week

What the record says

Pinned snapshot claude-haiku-4-5-20251001. Pricing (incl. cache-hit $0.10) and tentative retirement floor (not sooner than October 15, 2026) re-confirmed on official pages June 12, 2026; the 200K context window stands from the May 31 verification. SWE-bench Verified 73.3% (avg of 50 trials, 128K thinking budget) and Terminal-Bench are the only headline numbers Anthropic publishes as readable official text; GPQA/OSWorld/AIME/MMMLU appear only inside a launch-page image, so they are null (not guessed).

What benchr has documented it doing

Capabilities in the benchr ledger that name this model. Documented means a provider says it works and benchr recorded where. Verified means benchr ran it.

4 capabilities name this model. All 4 are officially supported by the provider; benchr has run 0 of them itself.

Which one to use

The rest of the family, with the two numbers that usually decide it. The current model is marked.

ModelsInput OutputContext window
Claude Haiku 4.5 This page$1.00$5.00200K
Claude Sonnet 5$2.00$10.001M
Claude Sonnet 4.6$3.00$15.001M
Claude Opus 4.7$5.00$25.001M
Claude Opus 4.8$5.00$25.001M
Claude Opus 5$5.00$25.001M
Claude Fable 5$10.00$50.001M
Claude Fable 5.1$10.00$50.001M

benchr's read

Worth it for

  • High-volume simple tasks
  • Real-time chat
  • Classification, routing, extraction

Look elsewhere if

  • Complex reasoning needed
  • Long-document analysis

Prices, limits, and identifiers above are provider facts. This section is benchr's judgement about them.

What benchr has written about it

Pieces that name this model, newest first. The ones written about this model come before the ones that mention it in passing.

What is not on this page

Stated rather than filled in.

  • No first-token or tokens-per-second figure is recorded. benchr has not measured it and the provider does not publish one.
  • benchr has not run any capability on this model itself. Everything in the capability section is documentation, not a test result.

Where this leads