GPT-5 Nano vs Gemini 2.0 Flash
Side-by-side comparison of pricing and capabilities
Input Price Comparison
| Attribute | GPT-5 Nano | Gemini 2.0 Flash |
|---|---|---|
| Provider | OpenAI | |
| Input Price | $0.05 /1M tokens | $0.1 /1M tokens |
| Output Price | $0.4 /1M tokens | $0.4 /1M tokens |
| Cached Input | $0.0050 /1M tokens | $0.010 /1M tokens |
| Context Window | 400K | 1.0M |
| Type | chat | chat |
| Status | current | deprecated |
Capability Comparison
| Capability | GPT-5 Nano | Gemini 2.0 Flash |
|---|---|---|
| multilingual | ||
| vision |
Which should you choose?
Budget-conscious: GPT-5 Nano is 50% cheaper on input tokens ($0.05 vs $0.1 per 1M tokens).
Context-heavy tasks: Gemini 2.0 Flash 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 2.0 Flash supports 2 (vision, multilingual).
Frequently Asked Questions
Which is cheaper: GPT-5 Nano or Gemini 2.0 Flash?
GPT-5 Nano costs $0.05/1M input vs Gemini 2.0 Flash at $0.1/1M input. GPT-5 Nano is 50% cheaper on input tokens.
How do output prices compare between GPT-5 Nano and Gemini 2.0 Flash?
GPT-5 Nano output: $0.4/1M, Gemini 2.0 Flash output: $0.4/1M. Gemini 2.0 Flash 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 2.0 Flash best used for?
Gemini 2.0 Flash is suited for complex reasoning, analysis, and tasks that benefit from its vision and multilingual capabilities.