Gemini 3.5 Flash-Lite vs GPT-5.4 Nano
Google against OpenAI, costed on the same three workloads. GPT-5.4 Nano is cheaper on all three workloads.
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Monthly bill, side by side
| Workload | Gemini 3.5 Flash-Lite | GPT-5.4 Nano | Difference |
|---|---|---|---|
| Support chatbot 2,500 six-turn conversations a day |
$1,613 | $907 | $707 (1.8×) |
| Document summarizer 1,000 single-shot summaries a day |
$170 | $103 | $66.60 (1.6×) |
| Coding agent 200 twelve-turn sessions a day |
$1,022 | $607 | $416 (1.7×) |
No prompt caching and no batch discount on either side, so the comparison is like for like. Both figures assume 30 days a month.
The rate cards
| Gemini 3.5 Flash-Lite | GPT-5.4 Nano | |
|---|---|---|
| Input, per 1M tokens | $0.3 | $0.2 |
| Output, per 1M tokens | $2.5 | $1.25 |
| Cached input | $0.03 | $0.02 |
| Context window | 1.05M | 272K |
| Maximum output | 66K | 128K |
| Reasoning model | yes | yes |
| Vision | yes | yes |
Beyond the price
- Gemini 3.5 Flash-Lite reads up to 1.05M tokens of context in one request; GPT-5.4 Nano stops at 272K.
- GPT-5.4 Nano can write up to 128K tokens in one response, against 66K for Gemini 3.5 Flash-Lite.
- Only GPT-5.4 Nano offers a batch discount — 50% off both rates for work that can wait.
Run this comparison on your own numbers
Full detail: Gemini 3.5 Flash-Lite pricing · GPT-5.4 Nano pricing
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Common questions
Which is cheaper, Gemini 3.5 Flash-Lite or GPT-5.4 Nano?
GPT-5.4 Nano is cheaper on all three workloads.
How much would Gemini 3.5 Flash-Lite and GPT-5.4 Nano cost each month?
On PromptSpend's standard workloads, per month: support chatbot: Gemini 3.5 Flash-Lite $1,613, GPT-5.4 Nano $907 (GPT-5.4 Nano is cheaper by $707); document summarizer: Gemini 3.5 Flash-Lite $170, GPT-5.4 Nano $103 (GPT-5.4 Nano is cheaper by $66.60); coding agent: Gemini 3.5 Flash-Lite $1,022, GPT-5.4 Nano $607 (GPT-5.4 Nano is cheaper by $416). No prompt caching and no batch discount is assumed.
How do Gemini 3.5 Flash-Lite and GPT-5.4 Nano differ apart from price?
Gemini 3.5 Flash-Lite reads up to 1.05M tokens of context in one request; GPT-5.4 Nano stops at 272K. GPT-5.4 Nano can write up to 128K tokens in one response, against 66K for Gemini 3.5 Flash-Lite. Only GPT-5.4 Nano offers a batch discount — 50% off both rates for work that can wait.