Anthropic

Claude 4 Sonnet

Type
language model
Context
1,000K tokens
Max output
64K
Released
29 September 2025
Knowledge cutoff
March 2025
API string
claude-sonnet-4-20250514

Prices by provider

Provider Input, $ per 1M Output, $ per 1M In our data since
Jiekou.AI $2.7 $13.5 31 Jul 2026
NanoGPT $2.992 $14.994 31 Jul 2026
302.AI $3 $15 31 Jul 2026
Abacus.AI $3 $15 31 Jul 2026
Amazon Bedrock $3 $15 2 Aug 2026
Anthropic $3 $15 1 Aug 2026
Merge Gateway $3 $15 31 Jul 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.

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, long queries 1,379.71 1,372–1,387 — —
Arena Score, programming 1,379.68 1,372–1,387 — —
Arena Score in French 1,363.66 1,337–1,390 — —
Arena Score, multi-turn dialogue 1,363.52 1,356–1,371 — —
Arena Score, mathematics 1,357.74 1,346–1,369 — —
Arena Score, hard prompts 1,354.2 1,349–1,360 — —
Arena Score in Spanish 1,350.72 1,329–1,373 — —
Arena Score, instruction following 1,350.14 1,343–1,357 — —
Arena Score in English 1,345.71 1,340–1,351 — —
Arena Score in Russian 1,344.73 1,333–1,356 — —
Arena Score, creative writing 1,339.09 1,330–1,348 — —
Arena Score, overall 1,337.9 1,334–1,342 — —
Arena Score, expert questions 1,333.62 1,320–1,347 — —
Arena Score, understanding diagrams 1,178.16 1,150–1,207 — —
Arena Score, working with images 1,175.73 1,162–1,190 — —
Arena Score, text recognition in images 1,173.12 1,156–1,191 — —
MATH, difficulty level five 84.37 % · with a tuned harness Epoch evaluations
Creative writing (Lech Mazur’s evaluation) 81.4 % thinking budget: 16K lechmazur/writing Github repository
GPQA Diamond — graduate-level questions 72.25 % thinking budget: 59K · with a tuned harness Epoch evaluations
Mock AIME 2024–2025 — olympiad problems 71.08 % thinking budget: 59K · with a tuned harness Epoch evaluations
Aider Polyglot — code edits in six languages 61.3 % · with a tuned harness Aider LLM Leaderboards
DeepResearch Bench — deep research 47.8 % thinking budget: 2K DeepResearchBench Leaderboard
Fiction.LiveBench — holding a long context 46.9 % — Fiction.live leaderboard
WeirdML — unusual machine learning tasks 46.11 % thinking budget: 16K WeirdML Leaderboard
OSWorld — working inside an operating system, first version 43.9 % · with a tuned harness OS World Website
ARC-AGI — generalising to unseen patterns 40 % thinking budget: 16K · with a tuned harness ARC Prize Leaderboard
GeoBench — locating a place from a photograph 37 % — GeoBench leaderboard
Cybench — cybersecurity tasks 35 % · with a tuned harness Cybench leaderboard
SimpleBench — trick questions 34.6 % thinking budget: 12K SimpleBench Leaderboard
The Agent Company — work tasks in an office environment 33.1 % — TheAgentCompany leaderboard
APEX-Agents 9.3 % — —
ARC-AGI-2 5.93 % thinking budget: 16K —
GSO-Bench — code optimisation 4.9 % — GSO Leaderboard
Humanity’s Last Exam — expert-level questions 3.11 % — —
CritPt — physics problems 0.29 % — —