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Claude Sonnet 4.5

by Anthropic · Released Sep 2025

Multimodal1M Context
44.6
avg score
Rank #175
Compare
Better than 44% of all models
Context
1.0M tokens (~500 books)
Input $/1M
$3.00
Output $/1M
$15.00
Type
multimodal
License
Proprietary
Benchmarks
31 tested
Data as of
About

Claude Sonnet 4.5 is Anthropic’s most advanced Sonnet model to date, optimized for real-world agents and coding workflows. It delivers state-of-the-art performance on coding benchmarks such as SWE-bench Verified, with...

Tested on 31 benchmarks · BenchGecko score 44.6. Top scores: MATH level 5 (97.7%), OTIS Mock AIME 2024-2025 (77.8%), GPQA diamond (76.4%).

Looking for similar performance at lower cost?
gpt-oss-20b scores 45.0 (101% as good) at $0.02/1M input · 99% cheaper
Capabilities
coding
51.8
#85 globally
reasoning
40.8
#99 globally
math
36.9
#166 globally
knowledge
28.0
#246 globally
agentic
62.9
#12 globally
general
32.4
#116 globally
Benchmark Scores
Compare All
Tested on 31 benchmarks · Ranked across 6 categories
Score Distribution (all 312 models)
0255075100
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SWE-Bench verified

Real-world software engineering tasks from GitHub issues. Models must diagnose bugs and write patches that pass test suites. Human-verified subset of SWE-bench.

71.3·
SWE-Bench Verified (Bash Only)

SWE-bench Verified solved using only bash commands, no specialized frameworks. Tests raw terminal-based problem solving.

70.6·
Cybench

Capture-the-flag cybersecurity challenges. Tests vulnerability analysis, reverse engineering, cryptography, and exploitation skills.

60.0·
ARC-AGI

Abstraction and Reasoning Corpus. Tests fluid intelligence through novel visual pattern recognition puzzles. Core measure of general intelligence.

63.7·
SimpleBench

Deceptively simple questions that humans find easy but AI models often get wrong. Tests common sense and reasoning gaps.

45.2·
ARC-AGI-2

ARC-AGI 2, harder sequel to ARC. More complex abstract reasoning patterns that test generalization ability beyond training data.

13.6·
MATH level 5

Competition-level math from AMC, AIME, and olympiad problems. Level 5 is the hardest tier, requiring creative problem-solving.

97.7·
OTIS Mock AIME 2024-2025

Mock AIME (American Invitational Mathematics Exam) problems from OTIS. Tests mathematical competition performance.

77.8·
Excellent (85+) Good (70-85) Average (50-70) Below (<50)
Links
Documentation
Community
BenchGecko API
claude-sonnet-4-5
Specifications
  • Typemultimodal
  • Context1.0M tokens (~500 books)
  • ReleasedSep 2025
  • LicenseProprietary
  • StatusActive
  • Cost / Message~$0.021
Available On
Anthropic logoAnthropic$3.00
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Claude Sonnet 4.5 is a proprietary multimodal AI model by Anthropic, released in September 2025. It has an average benchmark score of 44.6. Context window: 1M tokens.

Key facts · as of 2026-10-05

  • Claude Sonnet 4.5 by Anthropic. BenchGecko score 44.6, rank 174 of 312 scored models (normalized average of public benchmark scores).
  • List price $3.00 input · $15.00 output per 1M tokens (as of 2026-10-05).
  • Sold by 7 providers (as of 2026-10-05): Amazon Bedrock $3.00 in / $15.00 out · Anthropic $3.00 in / $15.00 out · Azure $3.00 in / $15.00 out · Claude Platform on AWS $3.00 in / $15.00 out · Google $3.00 in / $15.00 out · and 2 more. Every provider

How to cite · data as of 2026-10-05

Claude Sonnet 4.5 · benchmarks, pricing and providers. BenchGecko, data as of 2026-10-05. https://benchgecko.ai/model/claude-sonnet-4-5

Credit "Source: BenchGecko" with a link. Prices per provider and Gecko Tests are BenchGecko data (CC BY 4.0); benchmark scores keep their original source, listed in the JSON. JSON · llms.txt · MCP