Last verified 2025-09-22 (left) · 2025-09-22 (right)
Gemini 2.0 Flash-Lite vs GPT-5 nano — Pricing & Capability Comparison
Gemini 2.0 Flash-Lite charges $0.07 per million input tokens and $0.30 per million output tokens. GPT-5 nano comes in at $0.05 / $0.40. Context windows span 1M vs 200K tokens respectively.
TL;DR — Quick Comparison
- ✓Gemini 2.0 Flash-Lite is cheaper overall: $0.38 per 1M tokens (in+out) vs $0.45 for GPT-5 nano — saves $0.08 per 1M tokens
- ✓Input pricing: Gemini 2.0 Flash-Lite $0.07/1M vs GPT-5 nano $0.05/1M
- ✓Output pricing: Gemini 2.0 Flash-Lite $0.30/1M vs GPT-5 nano $0.40/1M
- ✓Context window: Gemini 2.0 Flash-Lite offers more (1M vs 200K)
- ✓Use our calculator below to estimate costs for your specific usage pattern
Input price (per 1M)
Gemini 2.0 Flash-Lite
$0.07
GPT-5 nano
$0.05
GPT-5 nano leads here
Output price (per 1M)
Gemini 2.0 Flash-Lite
$0.30
GPT-5 nano
$0.40
Gemini 2.0 Flash-Lite leads here
Context window
Gemini 2.0 Flash-Lite
1,000,000 tokens
GPT-5 nano
200,000 tokens
Gemini 2.0 Flash-Lite leads here
Cached input
Gemini 2.0 Flash-Lite
Not published
GPT-5 nano
Not published
No published data
Cost comparison for 10K-token workloads
Side-by-side pricing for identical workloads (10,000 total tokens per request) across different distributions.
| Scenario | Gemini 2.0 Flash-Lite | GPT-5 nano |
|---|---|---|
Balanced conversation 50% input · 50% output | $0.0019 | $0.0023 |
Input-heavy workflow 80% input · 20% output | $0.0012 | $0.0012 |
Generation heavy 30% input · 70% output | $0.0023 | $0.0030 |
Cached system prompt 90% cached input · 10% fresh output | $0.0010 | $0.0009 |
Frequently asked questions
Which is cheaper: Gemini 2.0 Flash-Lite or GPT-5 nano?
GPT-5 nano is cheaper for input tokens at $0.05 per 1M tokens compared to $0.07. For output, Gemini 2.0 Flash-Lite costs $0.30 per 1M tokens versus $0.40 for GPT-5 nano.
What is the cost per 1M tokens for Gemini 2.0 Flash-Lite?
Gemini 2.0 Flash-Lite pricing: $0.07 per 1M input tokens and $0.30 per 1M output tokens. Context window: 1,000,000 tokens.
What is the cost per 1M tokens for GPT-5 nano?
GPT-5 nano pricing: $0.05 per 1M input tokens and $0.40 per 1M output tokens. Context window: 200,000 tokens.
How much does it cost per 1K tokens?
Per 1K tokens: Gemini 2.0 Flash-Lite costs $0.0001 input / $0.0003 output. GPT-5 nano costs $0.0001 input / $0.0004 output. This is useful for calculating small-scale usage costs.
Which model supports a larger context window?
Gemini 2.0 Flash-Lite offers 1,000,000 tokens (1M) versus 200K for GPT-5 nano.
What is the estimated monthly cost for typical usage?
For a typical workload of 10M input + 2M output tokens per month: Gemini 2.0 Flash-Lite would cost approximately $1.35, while GPT-5 nano would cost $1.30. GPT-5 nano is more economical for this usage pattern.
Do these models support prompt caching?
Gemini 2.0 Flash-Lite does not publish cached pricing. GPT-5 nano does not publish cached pricing.
Which model is best for my use case?
Choose GPT-5 nano for cost-sensitive applications with high input volume. Choose Gemini 2.0 Flash-Lite if you need 1M context for long documents or conversations. Consider prompt caching if you have repeated context. Use our token calculator to model your specific usage pattern.