Last verified 2025-09-22 (left) · 2025-09-22 (right)
Gemini 2.0 Flash-Lite vs GPT-4o (fine-tuned) — Pricing & Capability Comparison
Gemini 2.0 Flash-Lite charges $0.07 per million input tokens and $0.30 per million output tokens. GPT-4o (fine-tuned) comes in at $3.75 / $15.00. Context windows span 1M vs 128K tokens respectively.
TL;DR — Quick Comparison
- ✓Gemini 2.0 Flash-Lite is cheaper overall: $0.38 per 1M tokens (in+out) vs $18.75 for GPT-4o (fine-tuned) — saves $18.38 per 1M tokens
- ✓Input pricing: Gemini 2.0 Flash-Lite $0.07/1M vs GPT-4o (fine-tuned) $3.75/1M
- ✓Output pricing: Gemini 2.0 Flash-Lite $0.30/1M vs GPT-4o (fine-tuned) $15.00/1M
- ✓Context window: Gemini 2.0 Flash-Lite offers more (1M vs 128K)
- ✓Use our calculator below to estimate costs for your specific usage pattern
Input price (per 1M)
Gemini 2.0 Flash-Lite
$0.07
GPT-4o (fine-tuned)
$3.75
Gemini 2.0 Flash-Lite leads here
Output price (per 1M)
Gemini 2.0 Flash-Lite
$0.30
GPT-4o (fine-tuned)
$15.00
Gemini 2.0 Flash-Lite leads here
Context window
Gemini 2.0 Flash-Lite
1,000,000 tokens
GPT-4o (fine-tuned)
128,000 tokens
Gemini 2.0 Flash-Lite leads here
Cached input
Gemini 2.0 Flash-Lite
Not published
GPT-4o (fine-tuned)
$1.875
GPT-4o (fine-tuned) leads here
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-4o (fine-tuned) | GPT-4o (fine-tuned) cached |
|---|---|---|---|
Balanced conversation 50% input · 50% output | $0.0019 | $0.0938 | $0.0844 |
Input-heavy workflow 80% input · 20% output | $0.0012 | $0.0600 | $0.0450 |
Generation heavy 30% input · 70% output | $0.0023 | $0.116 | $0.111 |
Cached system prompt 90% cached input · 10% fresh output | $0.0010 | $0.0487 | $0.0319 |
Frequently asked questions
Which is cheaper: Gemini 2.0 Flash-Lite or GPT-4o (fine-tuned)?
Gemini 2.0 Flash-Lite is cheaper for input tokens at $0.07 per 1M tokens compared to $3.75. For output, Gemini 2.0 Flash-Lite costs $0.30 per 1M tokens versus $15.00 for GPT-4o (fine-tuned).
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-4o (fine-tuned)?
GPT-4o (fine-tuned) pricing: $3.75 per 1M input tokens and $15.00 per 1M output tokens. Context window: 128,000 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-4o (fine-tuned) costs $0.0037 input / $0.0150 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 128K for GPT-4o (fine-tuned).
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-4o (fine-tuned) would cost $67.50. 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-4o (fine-tuned) supports caching at $1.875 per 1M tokens, saving up to 50%.
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.