Gemini 1.5 Pro vs. OpenAI o3-mini — Interactive Cost & Performance Calculator
Compare Gemini 1.5 Pro vs OpenAI o3-mini side-by-side. Use our interactive calculator to estimate exact monthly costs, savings, and performance trade-offs at your scale.
Gemini 1.5 Pro
Best for: Massive codebase, video & full-repository analysis
OpenAI o3-mini
Best for: Fast STEM reasoning, math, and unit-tested code generation
Side-by-Side Technical & Commercial Breakdown: Gemini 1.5 Pro vs. OpenAI o3-mini
| Dimension | Gemini 1.5 Pro | OpenAI o3-mini |
|---|---|---|
| Provider | Google Cloud Vertex | OpenAI |
| Input Price (per 1M tokens) | $1.250 | $1.100 |
| Output Price (per 1M tokens) | $5.00 | $4.40 |
| Context Window | 2,000K (2M) tokens | 200K tokens |
| Throughput Speed | 82 tok/s | 95 tok/s |
| License / Weights | Proprietary API | Proprietary API |
| Best Use Case | Massive codebase, video & full-repository analysis | Fast STEM reasoning, math, and unit-tested code generation |
Frequently Asked Questions
Which is more cost-effective in 2026: Gemini 1.5 Pro or OpenAI o3-mini?
It depends on your workload volume. Use the interactive sliders above to model your exact monthly scale. Gemini 1.5 Pro (Massive codebase, video & full-repository analysis) and OpenAI o3-mini (Fast STEM reasoning, math, and unit-tested code generation) have different unit economics that cross over as volume scales.
When should an engineering team choose Gemini 1.5 Pro over OpenAI o3-mini?
Choose Gemini 1.5 Pro when your primary priority is: Massive codebase, video & full-repository analysis. Choose OpenAI o3-mini when you prioritize: Fast STEM reasoning, math, and unit-tested code generation.