GPT-5.2 Pro vs GPT-5.1

Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.

GPT-5.2 Pro is clearly ahead on the aggregate, 90 to 80. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.

GPT-5.2 Pro's sharpest advantage is in coding, where it averages 84.8 against 66.2. The single biggest benchmark swing on the page is LiveCodeBench, 81 to 61.

GPT-5.2 Pro is also the more expensive model on tokens at $25.00 input / $150.00 output per 1M tokens, versus $1.50 input / $6.00 output per 1M tokens for GPT-5.1. That is roughly 25.0x on output cost alone. GPT-5.2 Pro gives you the larger context window at 400K, compared with 200K for GPT-5.1.

Quick Verdict

Pick GPT-5.2 Pro if you want the stronger benchmark profile. GPT-5.1 only becomes the better choice if you want the cheaper token bill.

Agentic

GPT-5.2 Pro

GPT-5.2 Pro

85.9

GPT-5.1

75.8

88
Terminal-Bench 2.0
78
88
BrowseComp
79
82
OSWorld-Verified
71

Coding

GPT-5.2 Pro

GPT-5.2 Pro

84.8

GPT-5.1

66.2

93
HumanEval
89
83
SWE-bench Verified
68
81
LiveCodeBench
61
89
SWE-bench Pro
71

Multimodal & Grounded

GPT-5.2 Pro

GPT-5.2 Pro

96

GPT-5.1

91.8

96
MMMU-Pro
94
96
OfficeQA Pro
89

Reasoning

GPT-5.2 Pro

GPT-5.2 Pro

95.2

GPT-5.1

88.4

97
SimpleQA
93
95
MuSR
91
98
BBH
92
93
LongBench v2
84
95
MRCRv2
84

Knowledge

GPT-5.2 Pro

GPT-5.2 Pro

81.5

GPT-5.1

72.5

99
MMLU
97
99
GPQA
95
97
SuperGPQA
93
95
OpenBookQA
91
90
MMLU-Pro
83
44
HLE
27
93
FrontierScience
84

Instruction Following

GPT-5.2 Pro

GPT-5.2 Pro

95

GPT-5.1

89

95
IFEval
89

Multilingual

GPT-5.2 Pro

GPT-5.2 Pro

93.4

GPT-5.1

87.7

96
MGSM
89
92
MMLU-ProX
87

Mathematics

GPT-5.2 Pro

GPT-5.2 Pro

98.2

GPT-5.1

95.4

99
AIME 2023
99
99
AIME 2024
99
99
AIME 2025
98
96
HMMT Feb 2023
95
98
HMMT Feb 2024
97
97
HMMT Feb 2025
96
97
BRUMO 2025
96
99
MATH-500
94

Frequently Asked Questions

Which is better, GPT-5.2 Pro or GPT-5.1?

GPT-5.2 Pro is ahead overall, 90 to 80. The biggest single separator in this matchup is LiveCodeBench, where the scores are 81 and 61.

Which is better for knowledge tasks, GPT-5.2 Pro or GPT-5.1?

GPT-5.2 Pro has the edge for knowledge tasks in this comparison, averaging 81.5 versus 72.5. Inside this category, HLE is the benchmark that creates the most daylight between them.

Which is better for coding, GPT-5.2 Pro or GPT-5.1?

GPT-5.2 Pro has the edge for coding in this comparison, averaging 84.8 versus 66.2. Inside this category, LiveCodeBench is the benchmark that creates the most daylight between them.

Which is better for math, GPT-5.2 Pro or GPT-5.1?

GPT-5.2 Pro has the edge for math in this comparison, averaging 98.2 versus 95.4. Inside this category, MATH-500 is the benchmark that creates the most daylight between them.

Which is better for reasoning, GPT-5.2 Pro or GPT-5.1?

GPT-5.2 Pro has the edge for reasoning in this comparison, averaging 95.2 versus 88.4. Inside this category, MRCRv2 is the benchmark that creates the most daylight between them.

Which is better for agentic tasks, GPT-5.2 Pro or GPT-5.1?

GPT-5.2 Pro has the edge for agentic tasks in this comparison, averaging 85.9 versus 75.8. Inside this category, OSWorld-Verified is the benchmark that creates the most daylight between them.

Which is better for multimodal and grounded tasks, GPT-5.2 Pro or GPT-5.1?

GPT-5.2 Pro has the edge for multimodal and grounded tasks in this comparison, averaging 96 versus 91.8. Inside this category, OfficeQA Pro is the benchmark that creates the most daylight between them.

Which is better for instruction following, GPT-5.2 Pro or GPT-5.1?

GPT-5.2 Pro has the edge for instruction following in this comparison, averaging 95 versus 89. Inside this category, IFEval is the benchmark that creates the most daylight between them.

Which is better for multilingual tasks, GPT-5.2 Pro or GPT-5.1?

GPT-5.2 Pro has the edge for multilingual tasks in this comparison, averaging 93.4 versus 87.7. Inside this category, MGSM is the benchmark that creates the most daylight between them.

Last updated: March 12, 2026

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