Gemini 1.5 Flash ≤128k vs GPT-4.1 Nano
Side-by-side comparison of pricing and capabilities
Gemini 1.5 Flash ≤128k
GPT-4.1 Nano
Input Price Comparison
| Attribute | Gemini 1.5 Flash ≤128k | GPT-4.1 Nano |
|---|---|---|
| Provider | OpenAI | |
| Input Price | $0.075 /1M tokens | $0.1 /1M tokens |
| Output Price | $0.3 /1M tokens | $0.4 /1M tokens |
| Cached Input | $0.0075 /1M tokens | $0.025 /1M tokens |
| Context Window | 1.0M | 1.0M |
| Type | chat | chat |
| Status | deprecated | current |
Capability Comparison
| Capability | Gemini 1.5 Flash ≤128k | GPT-4.1 Nano |
|---|---|---|
| vision | ||
| multilingual |
Which should you choose?
Budget-conscious: Gemini 1.5 Flash ≤128k is 25% cheaper on input tokens ($0.075 vs $0.1 per 1M tokens).
Context-heavy tasks: Both models offer the same context window size.
Capability fit: Gemini 1.5 Flash ≤128k supports 2 capabilities (vision, multilingual), while GPT-4.1 Nano supports 1 (multilingual).
Frequently Asked Questions
Which is cheaper: Gemini 1.5 Flash ≤128k or GPT-4.1 Nano?
Gemini 1.5 Flash ≤128k costs $0.075/1M input vs GPT-4.1 Nano at $0.1/1M input. Gemini 1.5 Flash ≤128k is 25% cheaper on input tokens.
How do output prices compare between Gemini 1.5 Flash ≤128k and GPT-4.1 Nano?
Gemini 1.5 Flash ≤128k output: $0.3/1M, GPT-4.1 Nano output: $0.4/1M. Gemini 1.5 Flash ≤128k is more economical for generation-heavy workloads.
What is Gemini 1.5 Flash ≤128k best used for?
Gemini 1.5 Flash ≤128k is best for budget-conscious applications, high-volume chatbots, and tasks where cost efficiency is the primary concern.
What is GPT-4.1 Nano best used for?
GPT-4.1 Nano is suited for complex reasoning, analysis, and tasks that benefit from its multilingual capabilities.