// COMPARISON

gemini-2.5-pro

A head-to-head benchmark comparison of gemini-2.5-pro across 42 evaluations.

The models

Benchmark comparison

Benchmark gemini-2.5-pro
agentic
BrowseComp 7.6%
TAU-bench Airline 60%
TAU-bench Retail 77%
Terminal-Bench 2.0 25.3%
code
Codeforces Elo 1,837
FullStackBench 48.19%
LiveCodeBench 80.1%
LiveCodeBench v5 69.1%
LiveCodeBench v6 70.65%
MBPP 91.01%
SWE-bench Verified 49%
SciCode 42.8%
coding
Aider Benchmark 94.36
MultiPL-E 71.48
general
ArenaHard v2 79.2
C-Eval 90.14%
IFEval 90.8%
MMLU 91.9%
MMLU-Pro 86.2%
MMLU-Redux 94.67%
MultiChallenge 57.5%
knowledge
AGIEval 88.99
CMMLU 88.83
TriviaQA 84.45
math
AIME 2024 92%
AIME 2025 88%
CNMO 2024 80.64%
HMMT February 2025 82.5%
MATH-500 96.7%
Omni-MATH 82.14
Omni-MATH-HARD 69.36%
UGMathBench 74.5
reasoning
ARC-AGI-1 45.44
BBEH 51.51
FinanceReasoning 87.33
GPQA Diamond 86.4%
Humanity's Last Exam 21.6%
ZebraLogic 92.4%
safety
HealthBench 49.39%
SimpleQA 54%
science
PhyBench 55.01
tool-use
BFCL v3 63.31%

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

gemini-2.5-pro has the strongest result on Codeforces Elo 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 42 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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