Side-by-side technical and economic comparison between OpenAI's OpenAI o4-mini and Google's Gemini 2.5 Flash-Lite.
| Metric | OpenAI o4-mini | Gemini 2.5 Flash-Lite | Advantage |
|---|---|---|---|
| Provider Organization | OpenAI | — | |
| Standard Input / 1M | $1.10 | $0.10 | Gemini 2.5 Flash-Lite (91% lower) |
| Cached Input / 1M | $0.275 | $0.01 | Gemini 2.5 Flash-Lite lower |
| Output / 1M | $4.40 | $0.40 | Gemini 2.5 Flash-Lite lower |
| Context Window | 200k | 1.05M | Gemini 2.5 Flash-Lite (1.05M) |
| Max Generation Tokens | 64k | 8.2k | OpenAI o4-mini |
| Tokenizer Family | OpenAI o200k_base (200k vocabulary) | Google Gemini SentencePiece (256k vocabulary) | — |
Opt for OpenAI o4-mini when your engineering requirements prioritize OpenAI's ecosystem, specific tokenizer efficiencies (Exact BPE (o200k_base)), or when your expected prompt-to-completion ratios favor its $1.1/M input rate.
Opt for Gemini 2.5 Flash-Lite when looking for Google's tooling integration, specific context window depth (1.05M tokens), or when output generation volume favors its $0.4/M rate.