LLM Comparison
Gemini vs OpenAI
Google's massive context window against OpenAI's ecosystem dominance. Which is right for your Paperclip agents?
| Feature | Gemini | OpenAI |
|---|---|---|
| Top models | Gemini 2.5 Pro, Gemini 2.5 Flash | GPT-4o, GPT-4o-mini, o1, o1-mini |
| Context window | 1M tokens | 128K tokens |
| Input pricing | $1.25 / 1M input tokens (Pro), $0.075 / 1M input tokens (Flash) | $2.50 / 1M input tokens (GPT-4o), $0.15 / 1M input tokens (GPT-4o-mini) |
| Multimodal | Text, image, video, audio | Text, image |
| Grounding | Google Search | No |
| Free tier | Yes | Limited |
Gemini strengths
- 1M token context window
- Native multimodal (text, image, video, audio)
- Google Search grounding
- Best price-to-performance ratio
- Free tier available
OpenAI strengths
- Most reliable general-purpose reasoning
- Largest ecosystem and integrations
- Native function calling
- Structured outputs
- Consistent quality
Choose Gemini when
Teams processing large documents, multimodal data, or looking for the best cost efficiency.
Choose OpenAI when
Teams that need the most reliable general-purpose model with the broadest ecosystem.
Use both with model routing
Most production deployments use multiple providers. Route long-document tasks to Gemini and reasoning tasks to OpenAI. HostAgentes makes the switch seamless.
Route between Gemini and OpenAI based on task complexity. No redeployment needed.
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