GPT-5 Nano vs Gemini 1.5 Flash ≤128k
Side-by-side comparison of pricing and capabilities
GPT-5 Nano
Gemini 1.5 Flash ≤128k
Input Price Comparison
| Attribute | GPT-5 Nano | Gemini 1.5 Flash ≤128k |
|---|---|---|
| Provider | OpenAI | |
| Input Price | $0.05 /1M tokens | $0.075 /1M tokens |
| Output Price | $0.4 /1M tokens | $0.3 /1M tokens |
| Cached Input | $0.0050 /1M tokens | $0.0075 /1M tokens |
| Context Window | 400K | 1.0M |
| Type | chat | chat |
| Status | current | deprecated |
Capability Comparison
| Capability | GPT-5 Nano | Gemini 1.5 Flash ≤128k |
|---|---|---|
| multilingual | ||
| vision |
Which should you choose?
Budget-conscious: GPT-5 Nano is 33% cheaper on input tokens ($0.05 vs $0.075 per 1M tokens).
Context-heavy tasks: Gemini 1.5 Flash ≤128k offers a larger context window (1.0M vs 400K), making it better for long documents or conversations.
Capability fit: GPT-5 Nano supports 1 capabilities (multilingual), while Gemini 1.5 Flash ≤128k supports 2 (vision, multilingual).
Frequently Asked Questions
Which is cheaper: GPT-5 Nano or Gemini 1.5 Flash ≤128k?
GPT-5 Nano costs $0.05/1M input vs Gemini 1.5 Flash ≤128k at $0.075/1M input. GPT-5 Nano is 33% cheaper on input tokens.
How do output prices compare between GPT-5 Nano and Gemini 1.5 Flash ≤128k?
GPT-5 Nano output: $0.4/1M, Gemini 1.5 Flash ≤128k output: $0.3/1M. Gemini 1.5 Flash ≤128k is more economical for generation-heavy workloads.
What is GPT-5 Nano best used for?
GPT-5 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.