OpenAI o1 vs Gemini 2.5 Pro

Performance benchmarks + pricing comparison — updated April 2026

OpenAI o1

OpenAI

Reasoning model optimized for complex problem-solving. Excels at math, science, and advanced coding.

Input$15.00/M
Output$60.00/M
Context200K tokens
Best ForComplex math, advanced coding, scientific reasoning
Benchmark83/100

Gemini 2.5 Pro

Google

Google's most capable model. Strong coding, multimodal understanding, and very competitive pricing.

Input$1.25/M
Output$10.00/M
Context1M tokens
Best ForLong document analysis, coding, multimodal tasks

Cost Comparison by Scenario

Estimated cost per project with 30% cache hit rate. Actual costs may vary based on usage patterns.

ScenarioOpenAI o1Gemini 2.5 ProSavings
Small Script (1K lines) $2.32 $0.34 Gemini 2.5 Pro saves $1.98 (85%)
Medium Feature (10K lines) $17.25 $2.44 Gemini 2.5 Pro saves $14.81 (86%)
Large Project (50K lines) $86.25 $12.19 Gemini 2.5 Pro saves $74.06 (86%)
Code Review (5K lines) $4.13 $0.47 Gemini 2.5 Pro saves $3.66 (89%)

Verdict

Gemini 2.5 Pro wins on both price and performance — $1.25/M input with a benchmark score of N/A/100.

For most developers, this is the clear choice between these two models.

Compare with Other Models