Gemini 2.5 Pro vs o4-mini — Side-by-side pricing
Side-by-side API pricing and tokenizer details for Gemini 2.5 Pro (Google) and o4-mini (OpenAI).
Side-by-side pricing
| Feature | Gemini 2.5 Pro | o4-mini |
|---|---|---|
| Provider | OpenAI | |
| Input (per 1M tokens) | $1.25 | $1.10 |
| Output (per 1M tokens) | $10.00 | $4.40 |
| Long-context pricing | Over 200K tokens: $2.50 in / $15.00 out | Flat rate at any prompt size |
| Context caching | No | No |
| Batch API discount | Not available | 50% off |
| Context window | 1M tokens | 200K tokens |
| Tokenizer | Gemini tokenizer | o200k_base (tiktoken) |
ⓘ o4-mini: Deprecated by OpenAI. API access shuts down 2026-10-23; calls will error after that date. Prices are no longer listed on OpenAI's pricing page and could not be re-verified from a vendor source.
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 Pro
$2.6250
Input: $0.6250 +Output: $2.0000
o4-mini
$1.4300
Input: $0.5500 +Output: $0.8800
o4-mini is 46% cheaper for this workload — saving $1.1950 per month at this volume.
Frequently asked questions
No, o4-mini is cheaper for the typical workload above. At $1.10/1M input and $4.40/1M output tokens, it costs $1.4300 versus $2.6250 for Gemini 2.5 Pro — a 46% difference. Note that Gemini 2.5 Pro switches to long-context pricing above 200K prompt tokens, so for very long prompts this gap does not scale linearly.
Gemini 2.5 Pro supports a 1M token context window. o4-mini supports a 200K 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 Pro does not support context caching. It does not offer a batch API discount. o4-mini does not support context caching. It offers a 50% Batch API discount.
No, they use different tokenizers. Gemini 2.5 Pro uses the Gemini tokenizer, while o4-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 Pro (Google): $1.25 input / $10 output per 1M tokens. o4-mini (OpenAI): $1.1 input / $4.4 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 Pro costs $8.2500 per 1M total tokens and o4-mini costs $3.7400. o4-mini is 55% cheaper for this pattern. For your exact ratio, paste a real prompt into the calculator above.
Gemini 2.5 Pro has a 1M-token context window — approximately 750K words or ~3K pages of standard text. o4-mini has a 200K-token context window — approximately 150K words or ~600 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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