Gemini 2.5 Flash-Lite vs GPT-5.4 mini — Side-by-side pricing
Side-by-side API pricing and tokenizer details for Gemini 2.5 Flash-Lite (Google) and GPT-5.4 mini (OpenAI).
Side-by-side pricing
| Feature | Gemini 2.5 Flash-Lite | GPT-5.4 mini |
|---|---|---|
| Provider | OpenAI | |
| Input (per 1M tokens) | $0.100 | $0.750 |
| Output (per 1M tokens) | $0.400 | $4.50 |
| Context caching | Yes — 90% off cached tokens | Yes — 90% off cached tokens |
| Batch API discount | 50% off | 50% off |
| Context window | 1M tokens | 400K tokens |
| Tokenizer | Gemini tokenizer | o200k_base (tiktoken) |
Real-world cost example
1,000 API requests per month, each with 500 input tokens and 200 output tokens (500K input + 200K output total).
Gemini 2.5 Flash-Lite
$0.1300
Input: $0.0500 +Output: $0.0800
GPT-5.4 mini
$1.2750
Input: $0.3750 +Output: $0.9000
Gemini 2.5 Flash-Lite is 90% cheaper for this workload — saving $1.1450 per month at this volume.
Frequently asked questions
Yes, Gemini 2.5 Flash-Lite is cheaper for the typical workload above. At $0.100/1M input and $0.400/1M output tokens, it costs $0.1300 versus $1.2750 for GPT-5.4 mini — a 90% difference. Costs scale linearly with request volume, so larger workloads amplify this gap.
Gemini 2.5 Flash-Lite supports a 1M token context window. GPT-5.4 mini supports a 400K token context window. A larger context window lets you include more text — documents, conversation history, or code — in a single API call.
Gemini 2.5 Flash-Lite supports context caching (90% off repeated tokens). It offers a 50% Batch API discount. GPT-5.4 mini supports context caching (90% off repeated tokens). It offers a 50% Batch API discount.
No, they use different tokenizers. Gemini 2.5 Flash-Lite uses the Gemini tokenizer, while GPT-5.4 mini uses o200k_base (tiktoken). Different tokenizers split text differently, so the same prompt will produce different token counts on each model — the effective cost difference may be larger or smaller than the per-token price difference alone suggests.
Gemini 2.5 Flash-Lite (Google): $0.1 input / $0.4 output per 1M tokens. GPT-5.4 mini (OpenAI): $0.75 input / $4.5 output per 1M tokens. Rates shown before caching or batch discounts.
For an 80% output / 20% input workload — typical for code generation or long-form writing — Gemini 2.5 Flash-Lite costs $0.3400 per 1M total tokens and GPT-5.4 mini costs $3.7500. Gemini 2.5 Flash-Lite is 91% cheaper for this pattern. For your exact ratio, paste a real prompt into the calculator above.
Gemini 2.5 Flash-Lite has a 1M-token context window — approximately 750K words or ~3K pages of standard text. GPT-5.4 mini has a 400K-token context window — approximately 300K words or ~1K pages. (Estimates assume ~0.75 words per token.)
Calculate costs for your actual prompt
Paste your prompt into the calculator and get exact token counts using each model's real tokenizer — all in your browser.
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