Last verified 2025-09-22 (left) · 2026-03-19 (right)
Gemini 2.0 Flash-Lite vs GPT-5.4 mini — Pricing & Capability Comparison
Gemini 2.0 Flash-Lite charges $0.07 per million input tokens and $0.30 per million output tokens. GPT-5.4 mini comes in at $0.75 / $4.50. Context windows span 1M vs 400K tokens respectively.
TL;DR — Quick Comparison
- ✓Gemini 2.0 Flash-Lite is cheaper overall: $0.38 per 1M tokens (in+out) vs $5.25 for GPT-5.4 mini — saves $4.88 per 1M tokens
- ✓Input pricing: Gemini 2.0 Flash-Lite $0.07/1M vs GPT-5.4 mini $0.75/1M
- ✓Output pricing: Gemini 2.0 Flash-Lite $0.30/1M vs GPT-5.4 mini $4.50/1M
- ✓Context window: Gemini 2.0 Flash-Lite offers more (1M vs 400K)
- ✓Use our calculator below to estimate costs for your specific usage pattern
Input price (per 1M)
Gemini 2.0 Flash-Lite
$0.07
GPT-5.4 mini
$0.75
Gemini 2.0 Flash-Lite leads here
Output price (per 1M)
Gemini 2.0 Flash-Lite
$0.30
GPT-5.4 mini
$4.50
Gemini 2.0 Flash-Lite leads here
Context window
Gemini 2.0 Flash-Lite
1,000,000 tokens
GPT-5.4 mini
400,000 tokens
Gemini 2.0 Flash-Lite leads here
Cached input
Gemini 2.0 Flash-Lite
Not published
GPT-5.4 mini
$0.075
GPT-5.4 mini leads here
Which one should you choose?
Skip the spreadsheet if you just need the practical takeaway. Use these rules when deciding between Gemini 2.0 Flash-Lite and GPT-5.4 mini.
Choose Gemini 2.0 Flash-Lite if input tokens dominate your bill
Gemini 2.0 Flash-Lite has the lower input rate, which usually matters most for chat, RAG, classification, and long-prompt workflows where prompt volume stays much larger than generated output.
Choose Gemini 2.0 Flash-Lite if you generate long answers
Gemini 2.0 Flash-Lite is cheaper on output tokens, so it tends to win for report generation, coding assistance, reasoning traces, and any workflow where completions are long.
Choose Gemini 2.0 Flash-Lite if context size is the blocker
Gemini 2.0 Flash-Lite offers the larger published context window, which is more important than small pricing differences when you need to fit large files, long chats, or multi-document prompts into one request.
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-5.4 mini | GPT-5.4 mini cached |
|---|---|---|---|
Balanced conversation 50% input · 50% output | $0.0019 | $0.0262 | $0.0229 |
Input-heavy workflow 80% input · 20% output | $0.0012 | $0.0150 | $0.0096 |
Generation heavy 30% input · 70% output | $0.0023 | $0.0338 | $0.0317 |
Cached system prompt 90% cached input · 10% fresh output | $0.0010 | $0.0112 | $0.0052 |
Frequently asked questions
Which is cheaper: Gemini 2.0 Flash-Lite or GPT-5.4 mini?
Gemini 2.0 Flash-Lite is cheaper for input tokens at $0.07 per 1M tokens compared to $0.75. For output, Gemini 2.0 Flash-Lite costs $0.30 per 1M tokens versus $4.50 for GPT-5.4 mini.
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-5.4 mini?
GPT-5.4 mini pricing: $0.75 per 1M input tokens and $4.50 per 1M output tokens. Context window: 400,000 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-5.4 mini costs $0.0008 input / $0.0045 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 400K for GPT-5.4 mini.
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-5.4 mini would cost $16.50. Gemini 2.0 Flash-Lite is more economical for this usage pattern.
Do these models support prompt caching?
Gemini 2.0 Flash-Lite does not publish cached pricing. GPT-5.4 mini supports caching at $0.075 per 1M tokens, saving up to 90%.
Which model is best for my use case?
Choose Gemini 2.0 Flash-Lite 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.
Keep exploring this decision
Start from the pricing hub to compare calculators, cost pages, and top decision paths.
Estimate Gemini 2.0 Flash-Lite cost with your own token mix.
Estimate GPT-5.4 mini cost with your own token mix.
Model the same prompt volume across multiple models before you commit.
See a simplified 100K-token cost view for Gemini 2.0 Flash-Lite.
See a simplified 100K-token cost view for GPT-5.4 mini.
Jump to other side-by-side model pricing comparisons.