GPT-4o vs Gemini 2.5 Pro: API Pricing, Context & Automation ROI
Switching from GPT-4o to Gemini 2.5 Pro cuts token costs by 50% on compatible workflows. Compare exact token pricing and speed below.
Side-by-Side Technical & Cost Comparison
| Metric | GPT-4o (OpenAI) | Gemini 2.5 Pro (Google) |
|---|---|---|
| Input Cost (per 1M tokens) | $2.500 | $1.250 |
| Cached Input Cost (per 1M) | $1.250 | $0.310 |
| Output Cost (per 1M tokens) | $10.00 | $5.00 |
| Max Context Window | 128,000 tokens | 2,000,000 tokens |
| Throughput Speed | ~110 tokens/sec | ~95 tokens/sec |
| Monthly Cost (1,000 runs/day) | $367.50 / month | $183.75 / month |
| Best Automation Use Case | Complex enterprise automation, multimodal extraction, structured JSON outputs, and high-reliability customer agents. | Analyzing entire codebases, 500-page PDF legal contracts, video/audio ingestion, and deep research pipelines. |
When to Choose GPT-4o
Complex enterprise automation, multimodal extraction, structured JSON outputs, and high-reliability customer agents.
- Native JSON Schema adherence
- Fast time-to-first-token
- Vision + Audio support
- Strong function calling
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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