Compare · ModelsLive · 2 picked · head to head

Claude Opus 4.1 vs Claude Sonnet 4.5

Side by side · benchmarks, pricing, and signals you can act on.

Winner summary

Claude Sonnet 4.5 wins 14 of 22 shared benchmarks. Leads in knowledge · coding · general.

Category leads
knowledge·Claude Sonnet 4.5coding·Claude Sonnet 4.5general·Claude Sonnet 4.5math·Claude Sonnet 4.5reasoning·Claude Opus 4.1
Hype vs Reality
Claude Opus 4.1
#213 by perf·#6 by attention
OVERHYPED
Claude Sonnet 4.5
#207 by perf·#10 by attention
OVERHYPED
Best value
5.2x better value than Claude Opus 4.1
Claude Opus 4.1
0.8 pts/$
$45.00/M
Claude Sonnet 4.5
4.2 pts/$
$9.00/M
Vendor risk
Anthropic logo
Anthropic
$965.0B·Tier 1
Medium risk
Anthropic logo
Anthropic
$965.0B·Tier 1
Medium risk
Head to head
Claude Opus 4.1Claude Sonnet 4.5
Chess Puzzles
Claude Sonnet 4.5 leads by +5.3
Chess Puzzles · tests strategic and tactical reasoning by having models solve chess puzzle positions, evaluating lookahead and pattern recognition abilities.
Claude Opus 4.1
2.1
Claude Sonnet 4.5
7.4
Cybench
Claude Sonnet 4.5 leads by +18.0
Cybench · evaluates AI on real Capture-The-Flag cybersecurity challenges, testing vulnerability analysis, exploitation, and security reasoning.
Claude Opus 4.1
42.0
Claude Sonnet 4.5
60.0
DeepResearch Bench
Claude Sonnet 4.5 leads by +4.3
DeepResearch Bench · evaluates AI on complex multi-step research tasks requiring information gathering, synthesis, and producing comprehensive analyses.
Claude Opus 4.1
48.3
Claude Sonnet 4.5
52.6
Dtbench
Claude Sonnet 4.5 leads by +5.3
Claude Opus 4.1
66.7
Claude Sonnet 4.5
72.0
Ebr Bench
Claude Opus 4.1 leads by +5.6
Claude Opus 4.1
7.9
Claude Sonnet 4.5
2.4
FrontierMath-2025-02-28-Private
Claude Sonnet 4.5 leads by +8.0
FrontierMath (Feb 2025) · original research-level math problems created by mathematicians, testing capabilities at the boundary of current AI mathematical reasoning.
Claude Opus 4.1
7.2
Claude Sonnet 4.5
15.2
FrontierMath-Tier-4-2025-07-01-Private
FrontierMath Tier 4 (Jul 2025) · the most challenging tier of frontier mathematics, containing problems that push the absolute limits of AI mathematical reasoning.
Claude Opus 4.1
4.2
Claude Sonnet 4.5
4.2
FrontierMath-Tier-4-v2-Private
Claude Opus 4.1
2.4
Claude Sonnet 4.5
2.4
FrontierMath-Tiers-1-3-v2-Private
Claude Sonnet 4.5 leads by +11.2
Claude Opus 4.1
12.6
Claude Sonnet 4.5
23.9
Gdpval
Claude Opus 4.1 leads by +1.1
Claude Opus 4.1
43.6
Claude Sonnet 4.5
42.5
GPQA diamond
Claude Sonnet 4.5 leads by +6.7
Graduate-Level Google-Proof QA (Diamond set) · expert-crafted questions in physics, biology, and chemistry that are difficult even for domain PhDs.
Claude Opus 4.1
69.7
Claude Sonnet 4.5
76.4
HLE
Claude Sonnet 4.5 leads by +2.3
HLE (Humanity's Last Exam) · a reasoning benchmark designed to be the hardest public evaluation of AI. Questions span mathematics, physics, philosophy, and logic · curated to be at or beyond the frontier of human expert capability. Tested with and without tool augmentation. Claude Opus 4.7 scores 46.9% without tools and 54.7% with tools · making it one of the few benchmarks where the top score is below 60%.
Claude Opus 4.1
7.1
Claude Sonnet 4.5
9.4
Lmca
Claude Sonnet 4.5 leads by +2.0
Claude Opus 4.1
43.6
Claude Sonnet 4.5
45.6
Metr Time Horizons
Claude Sonnet 4.5 leads by +0.6
Claude Opus 4.1
66.8
Claude Sonnet 4.5
67.4
Mystery Game Puzzles
Claude Opus 4.1 leads by +4.4
Claude Opus 4.1
13.0
Claude Sonnet 4.5
8.6
OTIS Mock AIME 2024-2025
Claude Sonnet 4.5 leads by +8.9
OTIS Mock AIME 2024-2025 · simulated American Invitational Mathematics Examination problems testing advanced problem-solving skills.
Claude Opus 4.1
68.9
Claude Sonnet 4.5
77.8
SimpleBench
Claude Opus 4.1 leads by +6.8
SimpleBench · tests fundamental reasoning capabilities with straightforward problems designed to expose gaps in basic logical and spatial thinking.
Claude Opus 4.1
52.0
Claude Sonnet 4.5
45.2
SimpleQA Verified
Claude Opus 4.1 leads by +4.1
SimpleQA Verified · short factual questions with verified answers, measuring factual accuracy and the tendency to hallucinate or provide incorrect information.
Claude Opus 4.1
34.8
Claude Sonnet 4.5
30.7
SWE-Bench verified
Claude Opus 4.1 leads by +2.1
SWE-bench Verified · 500 human-validated tasks from 12 real Python repositories (Django, Flask, scikit-learn, sympy, and others). Each task requires the model to produce a git patch that resolves a real GitHub issue and passes the test suite. The verified subset eliminates ambiguous tasks from the original SWE-bench. Claude Mythos Preview leads at 93.9%, crossing 90% for the first time in 2026. Opus 4.6 scores 80.8%. The benchmark remains the most-cited evaluation for code-generation capability.
Claude Opus 4.1
73.3
Claude Sonnet 4.5
71.3
Terminal Bench
Claude Sonnet 4.5 leads by +8.5
Terminal-Bench 2.0 · evaluates AI agents on real terminal-based coding tasks · writing scripts, debugging, running tests, and managing projects entirely through command-line interaction. Tests both code quality and terminal fluency. Claude Opus 4.7 scores 69.4%, demonstrating significant agentic terminal competence.
Claude Opus 4.1
38.0
Claude Sonnet 4.5
46.5
VPCT
Claude Sonnet 4.5 leads by +7.2
VPCT (Visual Pattern Completion Test) · tests visual reasoning and pattern recognition by having models complete visual sequences and transformations.
Claude Opus 4.1
2.5
Claude Sonnet 4.5
9.7
WeirdML
Claude Sonnet 4.5 leads by +1.9
WeirdML · tests models on unusual and adversarial machine learning tasks that require creative problem-solving beyond standard patterns.
Claude Opus 4.1
45.9
Claude Sonnet 4.5
47.7
Full benchmark table
BenchmarkClaude Opus 4.1Claude Sonnet 4.5
Chess Puzzles
Chess Puzzles · tests strategic and tactical reasoning by having models solve chess puzzle positions, evaluating lookahead and pattern recognition abilities.
2.17.4
Cybench
Cybench · evaluates AI on real Capture-The-Flag cybersecurity challenges, testing vulnerability analysis, exploitation, and security reasoning.
42.060.0
DeepResearch Bench
DeepResearch Bench · evaluates AI on complex multi-step research tasks requiring information gathering, synthesis, and producing comprehensive analyses.
48.352.6
Dtbench
66.772.0
Ebr Bench
7.92.4
FrontierMath-2025-02-28-Private
FrontierMath (Feb 2025) · original research-level math problems created by mathematicians, testing capabilities at the boundary of current AI mathematical reasoning.
7.215.2
FrontierMath-Tier-4-2025-07-01-Private
FrontierMath Tier 4 (Jul 2025) · the most challenging tier of frontier mathematics, containing problems that push the absolute limits of AI mathematical reasoning.
4.24.2
FrontierMath-Tier-4-v2-Private
2.42.4
FrontierMath-Tiers-1-3-v2-Private
12.623.9
Gdpval
43.642.5
GPQA diamond
Graduate-Level Google-Proof QA (Diamond set) · expert-crafted questions in physics, biology, and chemistry that are difficult even for domain PhDs.
69.776.4
HLE
HLE (Humanity's Last Exam) · a reasoning benchmark designed to be the hardest public evaluation of AI. Questions span mathematics, physics, philosophy, and logic · curated to be at or beyond the frontier of human expert capability. Tested with and without tool augmentation. Claude Opus 4.7 scores 46.9% without tools and 54.7% with tools · making it one of the few benchmarks where the top score is below 60%.
7.19.4
Lmca
43.645.6
Metr Time Horizons
66.867.4
Mystery Game Puzzles
13.08.6
OTIS Mock AIME 2024-2025
OTIS Mock AIME 2024-2025 · simulated American Invitational Mathematics Examination problems testing advanced problem-solving skills.
68.977.8
SimpleBench
SimpleBench · tests fundamental reasoning capabilities with straightforward problems designed to expose gaps in basic logical and spatial thinking.
52.045.2
SimpleQA Verified
SimpleQA Verified · short factual questions with verified answers, measuring factual accuracy and the tendency to hallucinate or provide incorrect information.
34.830.7
SWE-Bench verified
SWE-bench Verified · 500 human-validated tasks from 12 real Python repositories (Django, Flask, scikit-learn, sympy, and others). Each task requires the model to produce a git patch that resolves a real GitHub issue and passes the test suite. The verified subset eliminates ambiguous tasks from the original SWE-bench. Claude Mythos Preview leads at 93.9%, crossing 90% for the first time in 2026. Opus 4.6 scores 80.8%. The benchmark remains the most-cited evaluation for code-generation capability.
73.371.3
Terminal Bench
Terminal-Bench 2.0 · evaluates AI agents on real terminal-based coding tasks · writing scripts, debugging, running tests, and managing projects entirely through command-line interaction. Tests both code quality and terminal fluency. Claude Opus 4.7 scores 69.4%, demonstrating significant agentic terminal competence.
38.046.5
VPCT
VPCT (Visual Pattern Completion Test) · tests visual reasoning and pattern recognition by having models complete visual sequences and transformations.
2.59.7
WeirdML
WeirdML · tests models on unusual and adversarial machine learning tasks that require creative problem-solving beyond standard patterns.
45.947.7
Pricing · per 1M tokens · projected $/mo at 10M tokens
ModelInputOutputContextProjected $/mo
Anthropic logoClaude Opus 4.1$15.00$75.00200K tokens (~100 books)$300.00
Anthropic logoClaude Sonnet 4.5$3.00$15.001.0M tokens (~500 books)$60.00