OpenAI o3-mini vs Gemini 2.5 Pro: API Pricing, Context & Automation ROI
Switching from Gemini 2.5 Pro to OpenAI o3-mini cuts token costs by 12% on compatible workflows. Compare exact token pricing and speed below.
Side-by-Side Technical & Cost Comparison
| Metric | OpenAI o3-mini (OpenAI) | Gemini 2.5 Pro (Google) |
|---|---|---|
| Input Cost (per 1M tokens) | $1.100 | $1.250 |
| Cached Input Cost (per 1M) | $0.550 | $0.310 |
| Output Cost (per 1M tokens) | $4.40 | $5.00 |
| Max Context Window | 200,000 tokens | 2,000,000 tokens |
| Throughput Speed | ~95 tokens/sec | ~95 tokens/sec |
| Monthly Cost (1,000 runs/day) | $161.70 / month | $183.75 / month |
| Best Automation Use Case | Automated code review, SQL query generation, financial logic validation, and multi-step agentic planning. | Analyzing entire codebases, 500-page PDF legal contracts, video/audio ingestion, and deep research pipelines. |
When to Choose OpenAI o3-mini
Automated code review, SQL query generation, financial logic validation, and multi-step agentic planning.
- Adjustable reasoning effort
- Superior STEM & coding accuracy
- 200K context window
- Cost-effective reasoning
When to Choose Gemini 2.5 Pro
Analyzing entire codebases, 500-page PDF legal contracts, video/audio ingestion, and deep research pipelines.
- Massive 2M token context
- 50%+ cheaper than GPT-4o
- Native video & audio understanding
- Context caching support
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