Compare · ModelsLive · 2 picked · head to head
Claude Opus 4 vs Claude Opus 4.6
Side by side · benchmarks, pricing, and signals you can act on.
Winner summary
Claude Opus 4.6 wins on 12/12 benchmarks
Claude Opus 4.6 wins 12 of 12 shared benchmarks. Leads in reasoning · coding · math.
Category leads
reasoning·Claude Opus 4.6coding·Claude Opus 4.6math·Claude Opus 4.6knowledge·Claude Opus 4.6
Hype vs Reality
Attention vs performance
Claude Opus 4
#131 by perf·no signal
Claude Opus 4.6
#54 by perf·#4 by attention
Best value
Claude Opus 4.6
4.1x better value than Claude Opus 4
Claude Opus 4
0.9 pts/$
$45.00/M
Claude Opus 4.6
3.8 pts/$
$15.00/M
Vendor risk
Who is behind the model
Anthropic
$380.0B·Tier 1
Anthropic
$380.0B·Tier 1
Head to head
12 benchmarks · 2 models
Claude Opus 4Claude Opus 4.6
ARC-AGI
Claude Opus 4.6 leads by +58.3
ARC-AGI · the original Abstraction and Reasoning Corpus, testing whether AI can solve novel visual pattern recognition tasks without memorization.
Claude Opus 4
35.7
Claude Opus 4.6
94.0
ARC-AGI-2
Claude Opus 4.6 leads by +60.6
ARC-AGI-2 · the second iteration of the Abstraction and Reasoning Corpus, testing novel pattern recognition and abstract reasoning without prior training data.
Claude Opus 4
8.6
Claude Opus 4.6
69.2
Cybench
Claude Opus 4.6 leads by +55.0
Cybench · evaluates AI on real Capture-The-Flag cybersecurity challenges, testing vulnerability analysis, exploitation, and security reasoning.
Claude Opus 4
38.0
Claude Opus 4.6
93.0
FrontierMath-2025-02-28-Private
Claude Opus 4.6 leads by +36.2
FrontierMath (Feb 2025) · original research-level math problems created by mathematicians, testing capabilities at the boundary of current AI mathematical reasoning.
Claude Opus 4
4.5
Claude Opus 4.6
40.7
FrontierMath-Tier-4-2025-07-01-Private
Claude Opus 4.6 leads by +18.7
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
4.2
Claude Opus 4.6
22.9
GPQA diamond
Claude Opus 4.6 leads by +19.0
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
68.3
Claude Opus 4.6
87.4
GSO-Bench
Claude Opus 4.6 leads by +26.4
GSO-Bench · evaluates AI models on real-world open-source software engineering tasks, testing the ability to understand and resolve actual GitHub issues.
Claude Opus 4
6.9
Claude Opus 4.6
33.3
HLE
Claude Opus 4.6 leads by +24.9
HLE (Humanity's Last Exam) · crowdsourced expert-level questions designed to be among the hardest possible challenges for AI systems across all domains.
Claude Opus 4
6.2
Claude Opus 4.6
31.1
OTIS Mock AIME 2024-2025
Claude Opus 4.6 leads by +30.0
OTIS Mock AIME 2024–2025 · simulated American Invitational Mathematics Examination problems testing advanced problem-solving skills.
Claude Opus 4
64.4
Claude Opus 4.6
94.4
SimpleBench
Claude Opus 4.6 leads by +10.6
SimpleBench · tests fundamental reasoning capabilities with straightforward problems designed to expose gaps in basic logical and spatial thinking.
Claude Opus 4
50.6
Claude Opus 4.6
61.1
SWE-Bench verified
Claude Opus 4.6 leads by +8.1
Claude Opus 4
70.7
Claude Opus 4.6
78.7
WeirdML
Claude Opus 4.6 leads by +34.5
WeirdML · tests models on unusual and adversarial machine learning tasks that require creative problem-solving beyond standard patterns.
Claude Opus 4
43.4
Claude Opus 4.6
77.9
Full benchmark table
| Benchmark | Claude Opus 4 | Claude Opus 4.6 |
|---|---|---|
ARC-AGI ARC-AGI · the original Abstraction and Reasoning Corpus, testing whether AI can solve novel visual pattern recognition tasks without memorization. | 35.7 | 94.0 |
ARC-AGI-2 ARC-AGI-2 · the second iteration of the Abstraction and Reasoning Corpus, testing novel pattern recognition and abstract reasoning without prior training data. | 8.6 | 69.2 |
Cybench Cybench · evaluates AI on real Capture-The-Flag cybersecurity challenges, testing vulnerability analysis, exploitation, and security reasoning. | 38.0 | 93.0 |
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. | 4.5 | 40.7 |
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. | 4.2 | 22.9 |
GPQA diamond Graduate-Level Google-Proof QA (Diamond set) · expert-crafted questions in physics, biology, and chemistry that are difficult even for domain PhDs. | 68.3 | 87.4 |
GSO-Bench GSO-Bench · evaluates AI models on real-world open-source software engineering tasks, testing the ability to understand and resolve actual GitHub issues. | 6.9 | 33.3 |
HLE HLE (Humanity's Last Exam) · crowdsourced expert-level questions designed to be among the hardest possible challenges for AI systems across all domains. | 6.2 | 31.1 |
OTIS Mock AIME 2024-2025 OTIS Mock AIME 2024–2025 · simulated American Invitational Mathematics Examination problems testing advanced problem-solving skills. | 64.4 | 94.4 |
SimpleBench SimpleBench · tests fundamental reasoning capabilities with straightforward problems designed to expose gaps in basic logical and spatial thinking. | 50.6 | 61.1 |
SWE-Bench verified | 70.7 | 78.7 |
WeirdML WeirdML · tests models on unusual and adversarial machine learning tasks that require creative problem-solving beyond standard patterns. | 43.4 | 77.9 |
Pricing · per 1M tokens · projected $/mo at 10M tokens
| Model | Input | Output | Context | Projected $/mo |
|---|---|---|---|---|
| $15.00 | $75.00 | 200K tokens (~100 books) | $300.00 | |
| $5.00 | $25.00 | 1.0M tokens (~500 books) | $100.00 |