Compare · ModelsLive · 2 picked · head to head
Claude Opus 4.5 vs GPT-5.2
Side by side · benchmarks, pricing, and signals you can act on.
Winner summary
GPT-5.2 wins on 14/20 benchmarks
GPT-5.2 wins 14 of 20 shared benchmarks. Leads in agentic · reasoning · knowledge.
Category leads
agentic·GPT-5.2reasoning·GPT-5.2arena·Claude Opus 4.5knowledge·GPT-5.2math·GPT-5.2coding·GPT-5.2
Hype vs Reality
Attention vs performance
Claude Opus 4.5
#111 by perf·no signal
GPT-5.2
#74 by perf·no signal
Best value
GPT-5.2
2.3x better value than Claude Opus 4.5
Claude Opus 4.5
3.0 pts/$
$15.00/M
GPT-5.2
6.9 pts/$
$7.88/M
Vendor risk
Who is behind the model
Anthropic
$380.0B·Tier 1
OpenAI
$840.0B·Tier 1
Head to head
20 benchmarks · 2 models
Claude Opus 4.5GPT-5.2
APEX-Agents
GPT-5.2 leads by +15.9
APEX-Agents · evaluates AI agents on complex, multi-step tasks requiring planning, tool use, and autonomous decision-making in realistic environments.
Claude Opus 4.5
18.4
GPT-5.2
34.3
ARC-AGI
GPT-5.2 leads by +6.2
ARC-AGI · the original Abstraction and Reasoning Corpus, testing whether AI can solve novel visual pattern recognition tasks without memorization.
Claude Opus 4.5
80.0
GPT-5.2
86.2
ARC-AGI-2
GPT-5.2 leads by +15.3
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 4.5
37.6
GPT-5.2
52.9
Chatbot Arena Elo · Coding
Claude Opus 4.5 leads by +62.1
Claude Opus 4.5
1465.2
GPT-5.2
1403.1
Chatbot Arena Elo · Overall
Claude Opus 4.5 leads by +28.2
Claude Opus 4.5
1467.7
GPT-5.2
1439.5
Chess Puzzles
GPT-5.2 leads by +37.0
Chess Puzzles · tests strategic and tactical reasoning by having models solve chess puzzle positions, evaluating lookahead and pattern recognition abilities.
Claude Opus 4.5
12.0
GPT-5.2
49.0
FrontierMath-2025-02-28-Private
GPT-5.2 leads by +20.0
FrontierMath (Feb 2025) · original research-level math problems created by mathematicians, testing capabilities at the boundary of current AI mathematical reasoning.
Claude Opus 4.5
20.7
GPT-5.2
40.7
FrontierMath-Tier-4-2025-07-01-Private
GPT-5.2 leads by +14.6
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 4.5
4.2
GPT-5.2
18.8
GPQA diamond
GPT-5.2 leads by +7.1
Graduate-Level Google-Proof QA (Diamond set) · expert-crafted questions in physics, biology, and chemistry that are difficult even for domain PhDs.
Claude Opus 4.5
81.4
GPT-5.2
88.5
GSO-Bench
GPT-5.2 leads by +0.9
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 4.5
26.5
GPT-5.2
27.4
HLE
GPT-5.2 leads by +2.7
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 4.5
21.4
GPT-5.2
24.2
OTIS Mock AIME 2024-2025
GPT-5.2 leads by +10.0
OTIS Mock AIME 2024–2025 · simulated American Invitational Mathematics Examination problems testing advanced problem-solving skills.
Claude Opus 4.5
86.1
GPT-5.2
96.1
PostTrainBench
GPT-5.2 leads by +4.1
Claude Opus 4.5
17.3
GPT-5.2
21.4
SimpleBench
Claude Opus 4.5 leads by +19.4
SimpleBench · tests fundamental reasoning capabilities with straightforward problems designed to expose gaps in basic logical and spatial thinking.
Claude Opus 4.5
54.4
GPT-5.2
35.0
SimpleQA Verified
Claude Opus 4.5 leads by +2.9
SimpleQA Verified · short factual questions with verified answers, measuring factual accuracy and the tendency to hallucinate or provide incorrect information.
Claude Opus 4.5
41.8
GPT-5.2
38.9
SWE-Bench verified
Claude Opus 4.5 leads by +2.9
Claude Opus 4.5
76.7
GPT-5.2
73.8
SWE-Bench Verified (Bash Only)
Claude Opus 4.5 leads by +2.6
SWE-Bench Verified (Bash Only) · a curated subset of SWE-bench where models fix real Python repository bugs using only bash commands, no agent frameworks.
Claude Opus 4.5
74.4
GPT-5.2
71.8
Terminal Bench
GPT-5.2 leads by +1.8
Terminal Bench · tests the ability to accomplish real-world tasks using terminal commands, evaluating shell scripting and CLI tool proficiency.
Claude Opus 4.5
63.1
GPT-5.2
64.9
VPCT
GPT-5.2 leads by +66.0
VPCT (Visual Pattern Completion Test) · tests visual reasoning and pattern recognition by having models complete visual sequences and transformations.
Claude Opus 4.5
10.0
GPT-5.2
76.0
WeirdML
GPT-5.2 leads by +8.5
WeirdML · tests models on unusual and adversarial machine learning tasks that require creative problem-solving beyond standard patterns.
Claude Opus 4.5
63.7
GPT-5.2
72.2
Full benchmark table
| Benchmark | Claude Opus 4.5 | GPT-5.2 |
|---|---|---|
APEX-Agents APEX-Agents · evaluates AI agents on complex, multi-step tasks requiring planning, tool use, and autonomous decision-making in realistic environments. | 18.4 | 34.3 |
ARC-AGI ARC-AGI · the original Abstraction and Reasoning Corpus, testing whether AI can solve novel visual pattern recognition tasks without memorization. | 80.0 | 86.2 |
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. | 37.6 | 52.9 |
Chatbot Arena Elo · Coding | 1465.2 | 1403.1 |
Chatbot Arena Elo · Overall | 1467.7 | 1439.5 |
Chess Puzzles Chess Puzzles · tests strategic and tactical reasoning by having models solve chess puzzle positions, evaluating lookahead and pattern recognition abilities. | 12.0 | 49.0 |
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. | 20.7 | 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 | 18.8 |
GPQA diamond Graduate-Level Google-Proof QA (Diamond set) · expert-crafted questions in physics, biology, and chemistry that are difficult even for domain PhDs. | 81.4 | 88.5 |
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. | 26.5 | 27.4 |
HLE HLE (Humanity's Last Exam) · crowdsourced expert-level questions designed to be among the hardest possible challenges for AI systems across all domains. | 21.4 | 24.2 |
OTIS Mock AIME 2024-2025 OTIS Mock AIME 2024–2025 · simulated American Invitational Mathematics Examination problems testing advanced problem-solving skills. | 86.1 | 96.1 |
PostTrainBench | 17.3 | 21.4 |
SimpleBench SimpleBench · tests fundamental reasoning capabilities with straightforward problems designed to expose gaps in basic logical and spatial thinking. | 54.4 | 35.0 |
SimpleQA Verified SimpleQA Verified · short factual questions with verified answers, measuring factual accuracy and the tendency to hallucinate or provide incorrect information. | 41.8 | 38.9 |
SWE-Bench verified | 76.7 | 73.8 |
SWE-Bench Verified (Bash Only) SWE-Bench Verified (Bash Only) · a curated subset of SWE-bench where models fix real Python repository bugs using only bash commands, no agent frameworks. | 74.4 | 71.8 |
Terminal Bench Terminal Bench · tests the ability to accomplish real-world tasks using terminal commands, evaluating shell scripting and CLI tool proficiency. | 63.1 | 64.9 |
VPCT VPCT (Visual Pattern Completion Test) · tests visual reasoning and pattern recognition by having models complete visual sequences and transformations. | 10.0 | 76.0 |
WeirdML WeirdML · tests models on unusual and adversarial machine learning tasks that require creative problem-solving beyond standard patterns. | 63.7 | 72.2 |
Pricing · per 1M tokens · projected $/mo at 10M tokens
| Model | Input | Output | Context | Projected $/mo |
|---|---|---|---|---|
| Claude Opus 4.5 | $5.00 | $25.00 | 200K tokens (~100 books) | $100.00 |
| GPT-5.2 | $1.75 | $14.00 | 400K tokens (~200 books) | $48.13 |
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