AI Models · Compare
Gemini 2.5 Pro vs OpenAI o1
Side-by-side intelligence, speed, price, benchmarks, strengths and weaknesses for Gemini 2.5 Pro and OpenAI o1 — refreshed monthly.
Want to compare different models?
Pick any two modelsHead to head
Spec
Gemini 2.5 Pro
OpenAI o1
Intelligence index↑ better
Winner78
76
Speed↑ better
Winner110 tok/s
32 tok/s
Time to first token↓ better
Winner0.7 s
12 s
Context window↑ better
Winner2M
200k
Max output↑ better
66k
Winner100k
Input price↓ better
Winner$1.25 / 1M tokens
$15.00 / 1M tokens
Output price↓ better
Winner$5.00 / 1M tokens
$60.00 / 1M tokens
Blended price↓ better
Winner$2.19 / 1M tokens
$26.25 / 1M tokens
License
Proprietary
Proprietary
Input modalities
text, image, audio, video
text, image
Output modalities
text
text
Benchmark showdown
MMLU
Gemini 2.5 Pro
89.5
OpenAI o1
91.8
MMLU Pro
Gemini 2.5 Pro
78.5
OpenAI o1
80.0
GPQA
Gemini 2.5 Pro
66.0
OpenAI o1
78.0
MATH
Gemini 2.5 Pro
91.0
OpenAI o1
94.8
HumanEval
Gemini 2.5 Pro
91.5
OpenAI o1
92.4
Strengths, weaknesses and best-for
Gemini 2.5 Pro
Strengths
- 2M context
- Native video understanding
- Strong on math
Weaknesses
- Output ceiling lower than competitors
Best for
- Whole-codebase analysis
- Long-doc workflows
- Video QA
OpenAI o1
Strengths
- Tops MATH and GPQA leaderboards
- Self-checks its work
Weaknesses
- Very slow
- Very expensive
- Overkill for simple tasks
Best for
- Research problems
- Olympiad-level math
- Algorithm design
Quick verdict
- Pick Gemini 2.5 Pro if you want it smarter, faster, cheaper and longer context.
Auto-generated from the spec sheet. Always validate on your own evals.
More popular AI model comparisons
One-click matchups for the comparisons people search the most.
Build the shortlist that fits your stack
Open every model in one place — sortable table with intelligence, speed and price.