// COMPARISON

o3

A head-to-head benchmark comparison of o3 across 21 evaluations.

The models

Language Proprietary
Params
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Context
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Released
Dec 2024

Today, we’re releasing OpenAI o3 and o4-mini, the latest in our o-series of models trained to think for longer before responding. These are the smartest models .

Full o3 specs β†’

Benchmark comparison

Benchmark o3
agentic
BrowseComp 49.7%
BrowseComp-Zh 58.1
TAU-bench Airline 52%
TAU-bench Retail 70.4%
Terminal-Bench 2.0 30.2%
WebWalkerQA 71.7
xbench-DeepSearch 67
code
LiveCodeBench 78.4%
LiveCodeBench v5 73.3%
SWE-bench Verified 69.1%
SciCode 41%
general
MMLU-Pro 85.3%
long-context
Frames 84
math
AIME 2024 92.26%
AIME 2025 86.58%
HMMT February 2025 80.8%
MATH-500 99.2%
Omni-MATH-HARD 59.39%
reasoning
GPQA Diamond 82.7%
Humanity's Last Exam 24.9%
tool-use
BFCL v3 72.4%

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

o3 has the strongest result on LiveCodeBench 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 21 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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