Anthropic

Anthropic: Claude 3 Haiku

Type
language model
Context
200K tokens
Max output
4K
Released
7 March 2024
API string
claude-3-haiku-20240307

Prices by provider

Provider Input, $ per 1M Output, $ per 1M In our data since
Amazon Bedrock anthropic.claude-3-haiku-20240307-v1:0 $0.25 $1.25 2 Aug 2026
Anthropic $0.25 $1.25 1 Aug 2026
Helicone $0.25 $1.25 1 Aug 2026
Amazon Bedrock bedrock/us-gov-east-1/anthropic.claude-3-haiku-20240307-v1:0 $0.3 $1.5 2 Aug 2026

Only the base tier and only per-token prices are shown. Batch, discounted and cached rates, as well as prices per image or per second of video, do not go into this table: they cannot stand in the same column as a price per million tokens.

A single provider appears several times if it sells this model under different identifiers and at different prices — for example, at different weight precision. The identifier is shown next to the name. Identical offers that arrived from two sources under different spellings are merged into one row.

The date in the last column is the day this price first entered our collection. The price may well be older: before that day we simply were not recording it. It has not changed since — otherwise a new row with a new date would stand in its place.

Measurement results

Task set Result Run conditions Measured by
Arena Score in English 1,206.24 1,201–1,211 — —
Arena Score in Russian 1,203.24 1,195–1,211 — —
Arena Score, programming 1,199.46 1,193–1,206 — —
Arena Score, overall 1,194.84 1,191–1,199 — —
Arena Score in French 1,193.49 1,173–1,214 — —
Arena Score, long queries 1,190.62 1,183–1,198 — —
Arena Score, multi-turn dialogue 1,189.97 1,183–1,197 — —
Arena Score, mathematics 1,188.1 1,181–1,195 — —
Arena Score, hard prompts 1,174.25 1,169–1,180 — —
Arena Score, instruction following 1,173.8 1,169–1,179 — —
Arena Score in Spanish 1,164.81 1,144–1,185 — —
Arena Score, creative writing 1,157.73 1,150–1,165 — —
Arena Score, expert questions 1,147.38 1,137–1,158 — —
Arena Score, working with images 950.29 938–963 — —
GPQA Diamond — graduate-level questions 15.07 % · with a tuned harness Epoch evaluations
MATH, difficulty level five 14.88 % · with a tuned harness Epoch evaluations
CadEval — building CAD models with code 12 % — CadEval Dashboard
WeirdML — unusual machine learning tasks 9.84 % — WeirdML Leaderboard
Mock AIME 2024–2025 — olympiad problems 1.71 % · with a tuned harness Epoch evaluations