// COMPARISON

GPT-5.5

A head-to-head benchmark comparison of GPT-5.5 across 7 evaluations.

The models

Benchmark comparison

Benchmark GPT-5.5
agentic
BrowseComp 59.7%
code
SWE-bench Verified 76%
general
MMLU-Pro 87.5%
math
AIME 2025 93%
reasoning
ARC-AGI-2 7.2%
GPQA Diamond 88.4%
Humanity's Last Exam 28.4%

Best result per row highlighted in cyan. Each benchmark links to its definition and sources; each model links to its full scorecard.

Frequently asked questions

Which of these models is best for coding? β–Ά

GPT-5.5 has the strongest result on SWE-bench Verified among the models compared here. See the code-category rows in the table for the full picture.

How many benchmarks are compared? β–Ά

This comparison covers 7 benchmarks on which at least one of the selected models has a published score.

Where do the benchmark scores come from? β–Ά

Scores are aggregated from official model cards, technical reports and standard public evaluations, and link back to each benchmark's source. They are updated as new results are published.

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