Gemini 2.5 Pro vs o1-mini
Compare Google and OpenAI AI models
Cost Comparison (1000 input + 500 output tokens, 100 requests/day)
Gemini 2.5 Pro
o1-mini
Cost Differences
o1-mini costs less than Gemini 2.5 Pro
Feature Comparison
| Feature | Gemini 2.5 Pro | o1-mini |
|---|---|---|
| Provider | OpenAI | |
| Input Price | $1.25/1M tokens | $1.10/1M tokens |
| Output Price | $10.00/1M tokens | $4.40/1M tokens |
| Context Window | 2,000,000 tokens | 128,000 tokens |
| Max Output | 131,072 tokens | 65,536 tokens |
| Category | flagship | reasoning |
| Capabilities | textvisionaudiovideocode | textreasoning |
| Release Date | 3/25/2025 | 9/12/2024 |
Gemini 2.5 Pro vs o1-mini: Which Should You Choose?
Choosing between Gemini 2.5 Pro and o1-mini depends on your priorities: cost efficiency, context length, or raw capability. o1-mini is the more affordable option at $1.10/1M input tokens — 12% cheaper than Gemini 2.5 Pro. Meanwhile, Gemini 2.5 Pro offers a significantly larger context window at 2,000,000 tokens vs 128,000 for o1-mini.
These models come from different providers — Google and OpenAI — which means different API ecosystems, SDKs, rate limits, and terms of service. If you're already integrated with Google, switching to OpenAIinvolves migration effort beyond just pricing. Factor in your existing infrastructure when deciding.
These models target different tiers: Gemini 2.5 Pro is a flagship model while o1-mini is reasoning. This means they're optimized for different workloads. Gemini 2.5 Pro is built for complex tasks that require deeper reasoning, while o1-mini offers better value for routine operations.
Output costs matter too. Gemini 2.5 Pro charges $10.00/1M output tokens vs $4.40 for o1-mini. For generation-heavy workloads (content creation, code generation, summarization), output pricing often dominates your bill. o1-mini has the edge here at $4.40/1M output tokens.
Multimodal capabilities: Gemini 2.5 Pro supports vision (image inputs) while o1-mini is text-only. If your application needs image understanding, this narrows your choice.
Best Use Cases
Choose Gemini 2.5 Pro when:
- • You need a larger context window (2,000,000 tokens)
- • You need more capabilities (vision, audio, video, code)
- • You need longer outputs (up to 131,072 tokens)
- • You're already using Google's API ecosystem
Choose o1-mini when:
- • Budget is a primary concern
- • You're already using OpenAI's API ecosystem
Try Different Scenarios
Use the calculator below to see how costs change with different usage patterns
Gemini 2.5 Pro (Google)
o1-mini (OpenAI)
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