OpenAI o1 vs Gemini 2.0 Pro
Performance benchmarks + pricing comparison — updated April 2026
OpenAI o1
OpenAIReasoning model optimized for complex problem-solving. Excels at math, science, and advanced coding.
| Input | $15.00/M |
| Output | $60.00/M |
| Context | 200K tokens |
| Best For | Complex math, advanced coding, scientific reasoning |
| Benchmark | 83/100 |
Gemini 2.0 Pro
GoogleMid-tier Gemini 2.0 model. Better quality than Flash at a competitive price point for enterprise coding tasks.
| Input | $2.50/M |
| Output | $10.00/M |
| Context | 1M tokens |
| Best For | Enterprise coding, complex analysis, multimodal understanding |
Cost Comparison by Scenario
Estimated cost per project with 30% cache hit rate. Actual costs may vary based on usage patterns.
| Scenario | OpenAI o1 | Gemini 2.0 Pro | Savings |
|---|---|---|---|
| Small Script (1K lines) | $2.32 | $0.39 | Gemini 2.0 Pro saves $1.94 (83%) |
| Medium Feature (10K lines) | $17.25 | $2.88 | Gemini 2.0 Pro saves $14.38 (83%) |
| Large Project (50K lines) | $86.25 | $14.38 | Gemini 2.0 Pro saves $71.88 (83%) |
| Code Review (5K lines) | $4.13 | $0.69 | Gemini 2.0 Pro saves $3.44 (83%) |
Verdict
Gemini 2.0 Pro wins on both price and performance — $2.50/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
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