comparison
GPT-5.4 nano vs Gemini 2.5 Flash-Lite
Token pricing, context window and real monthly cost, side by side. Gemini 2.5 Flash-Lite is the cheaper of the two for a typical workload — about 2.6× less.
Positioned by published specs — size, context and modality — not measured performance; a smaller model can sometimes outperform a larger one on your task.
By size & context, Gemini 2.5 Flash-Lite (Mini) sits above GPT-5.4 nano (Nano) yet costs less. On spec it's the straightforward pick; choose GPT-5.4 nano only for something it offers that Gemini 2.5 Flash-Lite doesn't — modality, provider or ecosystem.
| metric | GPT-5.4 nano | Gemini 2.5 Flash-Lite |
|---|---|---|
| Input / 1M | $0.20 | $0.10 |
| Output / 1M | $1.25 | $0.40 |
| Context | 400K | 1.0M |
| Technical class | Nano | Mini |
| Cost @ typical workload | $185/mo | $70.00/mo |
| Modality | text + image | text + image + audio + video |
| Price source | list | list |
| Provider | OpenAI |
Snapshot . Cost uses a typical workload; tune it in the calculator. How we measure →
Which should you pick?
On a typical workload, Gemini 2.5 Flash-Lite costs $70.00/mo against GPT-5.4 nano's $185/mo — roughly 2.6× cheaper. But the ranking depends on your output-to-input ratio: output is the pricier direction for both, so an output-heavy job (code generation, long answers) widens the gap while an input-heavy one (summarization, retrieval) narrows it. If you need to fit more in a single prompt, Gemini 2.5 Flash-Lite has the larger 1.0M-token window (~1,573 pages). By technical class (size and context, not measured capability), Gemini 2.5 Flash-Lite is the larger class (Mini) and the cheaper of the two — on spec, the stronger pick here.
These are list and routed market prices, not measured outcomes. Two models at the same rate can still cost different amounts to finish the same task, because verbose or reasoning-heavy models emit more tokens. That gap is exactly what measured cost-per-task captures. The technical-class read above is likewise spec-based — size, context and modality, not measured performance — so a smaller model can still outperform a larger one on your specific task.
Frequently asked questions
Is GPT-5.4 nano or Gemini 2.5 Flash-Lite cheaper?
For a typical workload (1,500 input + 500 output tokens × 200,000 requests/month), Gemini 2.5 Flash-Lite costs $70.00/mo versus $185/mo for GPT-5.4 nano — about 2.6× less. Because output is priced higher than input, the winner can flip if your workload writes much more or less than this; check your own numbers in the calculator.
What's the main difference between GPT-5.4 nano and Gemini 2.5 Flash-Lite?
On price, GPT-5.4 nano is $0.20/$1.25 per 1M (in/out) and Gemini 2.5 Flash-Lite is $0.10/$0.40. By technical class (size & context) it's Nano (GPT-5.4 nano) versus Mini (Gemini 2.5 Flash-Lite). Gemini 2.5 Flash-Lite has the larger context window at 1.0M tokens.
More comparisons
- GPT-5.5 vs GPT-5.4 nano
- GPT-5.4 vs GPT-5.4 nano
- GPT-5.4 mini vs GPT-5.4 nano
- GPT-5.4 nano vs gpt-oss-120b
- Claude Haiku 4.5 vs GPT-5.4 nano
- Gemini 2.5 Flash vs GPT-5.4 nano
Related
- GPT-5.4 nano and Gemini 2.5 Flash-Lite — full specs and price history.
- API cost calculator — compare on your own workload.
- All comparisons — the full head-to-head index.