Gemini 2.0 Flash vs GPT-4.1 nano
Compare Google and OpenAI AI models
Cost Comparison (1000 input + 500 output tokens, 100 requests/day)
Gemini 2.0 Flash
GPT-4.1 nano
Cost Differences
GPT-4.1 nano costs less than Gemini 2.0 Flash
Feature Comparison
| Feature | Gemini 2.0 Flash | GPT-4.1 nano |
|---|---|---|
| Provider | OpenAI | |
| Input Price | $0.10/1M tokens | $0.10/1M tokens |
| Output Price | $0.40/1M tokens | $0.40/1M tokens |
| Context Window | 1,000,000 tokens | 128,000 tokens |
| Max Output | 32,768 tokens | 8,192 tokens |
| Category | efficient | efficient |
| Capabilities | textvisionaudiocode | text |
| Release Date | 12/11/2024 | 4/14/2025 |
Gemini 2.0 Flash vs GPT-4.1 nano: Which Should You Choose?
Choosing between Gemini 2.0 Flash and GPT-4.1 nano depends on your priorities: cost efficiency, context length, or raw capability. GPT-4.1 nano is the more affordable option at $0.10/1M input tokens. Meanwhile, Gemini 2.0 Flash offers a significantly larger context window at 1,000,000 tokens vs 128,000 for GPT-4.1 nano.
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.
Both models are in the efficient category, making this a direct head-to-head comparison. At scale — say 10,000 requests per day — the cost difference adds up: GPT-4.1 nano would save you roughly $0.00/month compared to Gemini 2.0 Flash. For startups and indie developers, that difference can be significant.
Output costs matter too. Gemini 2.0 Flash charges $0.40/1M output tokens vs $0.40 for GPT-4.1 nano.
Multimodal capabilities: Gemini 2.0 Flash supports vision (image inputs) while GPT-4.1 nano is text-only. If your application needs image understanding, this narrows your choice.
Best Use Cases
Choose Gemini 2.0 Flash when:
- • You need a larger context window (1,000,000 tokens)
- • You need more capabilities (vision, audio, code)
- • You need longer outputs (up to 32,768 tokens)
- • You're already using Google's API ecosystem
- • You're running high-volume, latency-sensitive workloads
Choose GPT-4.1 nano when:
- • You're already using OpenAI's API ecosystem
- • You're running high-volume, latency-sensitive workloads
Try Different Scenarios
Use the calculator below to see how costs change with different usage patterns
Gemini 2.0 Flash (Google)
GPT-4.1 nano (OpenAI)
Start using Gemini 2.0 Flash today
Sign Up for Google →Start using GPT-4.1 nano today
Sign Up for OpenAI →