tokevenGPTvsGemini
o1 vs Gemini 2.5 Pro
Side-by-side comparison of pricing, task quality, and projected cost at higher scale.
Pricing
Side-by-side pricing
o1
FlagshipGemini 2.5 Pro
Mid-tierInput $/MTok
$15.00
$1.25
Output $/MTok
$60.00
$10.00
Cache discount
50% off
90% off
Context
200K
1,048.576K
Quality
Task confidence comparison
Confidence score from zero to one hundred by task type, where higher is better.
Code Generation
0
vs
0
Code Review
0
vs
0
Summarization
0
vs
0
Q&A
0
vs
0
Extraction
0
vs
0
Reasoning
0
vs
0
Classification
0
vs
0
Creative Writing
0
vs
0
o1
Gemini 2.5 Pro
Guidance
When to use o1 vs Gemini 2.5 Pro
Choose o1 when...
- Similar performance; consider provider preference or ecosystem fit.
Choose Gemini 2.5 Pro when...
- -Cost matters: 92% cheaper on input tokens
- -You need a larger context window (1,048.576K vs 200K)
At scale
Cost at scale
Estimated cost assuming a seventy percent input and thirty percent output token split.
o1
Gemini 2.5 Pro
100K tokens
$2.85
$0.39Cheaper
1M tokens
$28.50
$6.25Cheaper
10M tokens
$285.00
$62.50Cheaper
FAQ
When should I use o1 instead of Gemini 2.5 Pro?
o1 and Gemini 2.5 Pro perform similarly across all tracked tasks. Pick based on pricing and provider preference.
Is Gemini 2.5 Pro cheaper than o1?
Yes. Gemini 2.5 Pro input costs $1.25/MTok vs $15.00/MTok for o1, saving 92% on input.
What are the context window sizes for o1 and Gemini 2.5 Pro?
o1 has a 200K token context window. Gemini 2.5 Pro has a 1,048.576K token context window.
Go deeper on either model
Per-call cost calculators, provider lineups, and price history for both models on this page.
Other comparisons
How o1 and Gemini 2.5 Pro stack up against the rest of the field.
Track your real costs
Comparisons show estimated costs at list price. The dashboard reveals your real spend and savings.