GPT-4.1 Nano vs Gemini 3.1 Flash-Lite
Side-by-side comparison of pricing and capabilities
GPT-4.1 Nano
Gemini 3.1 Flash-Lite
Input Price Comparison
| Attribute | GPT-4.1 Nano | Gemini 3.1 Flash-Lite |
|---|---|---|
| Provider | OpenAI | |
| Input Price | $0.1 /1M tokens | $0.25 /1M tokens |
| Output Price | $0.4 /1M tokens | $1.5 /1M tokens |
| Cached Input | $0.025 /1M tokens | $0.025 /1M tokens |
| Context Window | 1.0M | 1.0M |
| Type | chat | chat |
| Status | current | preview |
Capability Comparison
| Capability | GPT-4.1 Nano | Gemini 3.1 Flash-Lite |
|---|---|---|
| multilingual |
Which should you choose?
Budget-conscious: GPT-4.1 Nano is 60% cheaper on input tokens ($0.1 vs $0.25 per 1M tokens).
Context-heavy tasks: Both models offer the same context window size.
Capability fit: GPT-4.1 Nano supports 1 capabilities (multilingual), while Gemini 3.1 Flash-Lite supports 1 (multilingual).
Frequently Asked Questions
Which is cheaper: GPT-4.1 Nano or Gemini 3.1 Flash-Lite?
GPT-4.1 Nano costs $0.1/1M input vs Gemini 3.1 Flash-Lite at $0.25/1M input. GPT-4.1 Nano is 60% cheaper on input tokens.
How do output prices compare between GPT-4.1 Nano and Gemini 3.1 Flash-Lite?
GPT-4.1 Nano output: $0.4/1M, Gemini 3.1 Flash-Lite output: $1.5/1M. GPT-4.1 Nano is more economical for generation-heavy workloads.
What is GPT-4.1 Nano best used for?
GPT-4.1 Nano is best for budget-conscious applications, high-volume chatbots, and tasks where cost efficiency is the primary concern.
What is Gemini 3.1 Flash-Lite best used for?
Gemini 3.1 Flash-Lite is suited for complex reasoning, analysis, and tasks that benefit from its multilingual capabilities.