Anthropic

Claude Sonnet 4.5

Type
language model
Context
1,000K tokens
Max output
64K
Released
29 September 2025
Knowledge cutoff
July 2025
API string
claude-sonnet-4-5-20250929

Prices by provider

Provider Input, $ per 1M Output, $ per 1M In our data since
qihang-ai $0.43 $2.14 31 Jul 2026
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 anthropic.claude-sonnet-4-5-20250929-v1:0 $3 $15 2 Aug 2026
Anthropic $3 $15 31 Jul 2026
Helicone $3 $15 31 Jul 2026
LLM Gateway $3 $15 31 Jul 2026
Merge Gateway $3 $15 31 Jul 2026
Amazon Bedrock eu.anthropic.claude-sonnet-4-5-20250929-v1:0 $3.3 $16.5 2 Aug 2026
Amazon Bedrock bedrock/us-gov-east-1/anthropic.claude-sonnet-4-5-20250929-v1:0 $3.6 $18 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, programming 1,485.37 1,480–1,490 — —
Arena Score, long queries 1,476.02 1,471–1,481 — —
Arena Score, expert questions 1,472.22 1,464–1,481 — —
Arena Score, multi-turn dialogue 1,464.84 1,459–1,471 — —
Arena Score, hard prompts 1,461.7 1,458–1,465 — —
Arena Score, instruction following 1,458.64 1,454–1,463 — —
Arena Score in French 1,457.25 1,441–1,473 — —
Arena Score in Spanish 1,455.76 1,442–1,470 — —
Arena Score in English 1,451.19 1,447–1,455 — —
Arena Score, creative writing 1,440.99 1,435–1,447 — —
Arena Score, overall 1,437.78 1,435–1,441 — —
Arena Score in Russian 1,435.09 1,428–1,442 — —
Arena Score, mathematics 1,421.66 1,413–1,430 — —
Arena Score, web development 1,385.13 1,378–1,392 — —
MATH, difficulty level five 97.73 % thinking budget: 32K · with a tuned harness Epoch evaluations
Mock AIME 2024–2025 — olympiad problems 77.76 % thinking budget: 59K · with a tuned harness Epoch evaluations
GPQA Diamond — graduate-level questions 76.43 % thinking budget: 16K · with a tuned harness Epoch evaluations
SWE-bench Verified — fixing bugs in repositories 71.28 % · with a tuned harness Epoch evaluations
ARC-AGI — generalising to unseen patterns 63.67 % thinking budget: 32K · with a tuned harness —
OSWorld — working inside an operating system, first version 62.9 % · with a tuned harness OS World Website
Cybench — cybersecurity tasks 60 % · with a tuned harness Opus 4.5 System Card self-reported
DeepResearch Bench — deep research 52.6 % thinking budget: 2K DeepResearchBench Leaderboard
WeirdML — unusual machine learning tasks 47.71 % thinking budget: 16K WeirdML Leaderboard
Terminal-Bench — working in the command line 46.5 % · with a tuned harness Terminal-Bench v2 Leaderboard
SimpleBench — trick questions 45.16 % thinking budget: 12K SimpleBench Leaderboard
GDPval — tasks from real occupations 42.5 % — —
FrontierMath, levels 1–3 23.86 % thinking budget: 32K Epoch evaluations
SimpleQA Verified — factual accuracy 23.6 % thinking budget: 59K Epoch evaluations
GSO-Bench — code optimisation 14.71 % — GSO Leaderboard
ARC-AGI-2 13.61 % thinking budget: 32K —
Humanity’s Last Exam — expert-level questions 9.37 % — —
Chess puzzles 7.41 % thinking budget: 32K Epoch evaluations
FrontierMath, level 4 — research-grade problems 2.44 % thinking budget: 32K Epoch evaluations
Remote Labor Index — jobs from a freelance marketplace 2.08 % — —
CritPt — physics problems 1.14 % — —