GPT-4.1 Nano vs Gemini 1.5 Flash >128k
Side-by-side comparison of pricing and capabilities
GPT-4.1 Nano
Gemini 1.5 Flash >128k
Input Price Comparison
| Attribute | GPT-4.1 Nano | Gemini 1.5 Flash >128k |
|---|---|---|
| Provider | OpenAI | |
| Input Price | $0.1 /1M tokens | $0.15 /1M tokens |
| Output Price | $0.4 /1M tokens | $0.6 /1M tokens |
| Cached Input | $0.025 /1M tokens | $0.015 /1M tokens |
| Context Window | 1.0M | 1.0M |
| Type | chat | chat |
| Status | current | deprecated |
Capability Comparison
| Capability | GPT-4.1 Nano | Gemini 1.5 Flash >128k |
|---|---|---|
| multilingual | ||
| vision |
Which should you choose?
Budget-conscious: GPT-4.1 Nano is 33% cheaper on input tokens ($0.1 vs $0.15 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 1.5 Flash >128k supports 2 (vision, multilingual).
Frequently Asked Questions
Which is cheaper: GPT-4.1 Nano or Gemini 1.5 Flash >128k?
GPT-4.1 Nano costs $0.1/1M input vs Gemini 1.5 Flash >128k at $0.15/1M input. GPT-4.1 Nano is 33% cheaper on input tokens.
How do output prices compare between GPT-4.1 Nano and Gemini 1.5 Flash >128k?
GPT-4.1 Nano output: $0.4/1M, Gemini 1.5 Flash >128k output: $0.6/1M. 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 1.5 Flash >128k best used for?
Gemini 1.5 Flash >128k is suited for complex reasoning, analysis, and tasks that benefit from its vision and multilingual capabilities.