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Gemini 1.5 Pro vs GPT-4o: Complete API Cost Breakdown

Google's Gemini 1.5 Pro offers a massive context window of 2 million tokens. However, its pricing structure has specific volume modifiers that change the cost equation compared to OpenAI's GPT-4o. Let's analyze these parameters side-by-side.

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1. Comparative Pricing Scales

Gemini 1.5 Pro is priced at $1.25 per million input tokens and $5.00 per million output tokens for contexts under 128k. This makes it exactly 50% cheaper than GPT-4o ($2.50 / $10.00). However, if your prompt exceeds 128k tokens, Gemini's rates double to $2.50 / MTok input and $10.00 / MTok output, matching OpenAI's rates.

2. Caching Implementation and Break-Even Points

Google's prompt caching requires a minimum token size of 32k to trigger and offers a 50% discount on cache-hits. OpenAI's caching has no minimum size requirement, automatically applying to repeating prompts of any size. For small queries, GPT-4o caching is easier to trigger.

3. Cost Summary: Flash vs. Mini

In the budget tier, Gemini 1.5 Flash ($0.075 / MTok input, $0.30 / MTok output) is half the price of GPT-4o-mini ($0.15 / MTok input, $0.60 / MTok output), making Gemini 1.5 Flash the cheapest managed proprietary model in 2026.

Frequently Asked Questions

Is Gemini Flash cheaper than GPT-4o-mini?

Yes. Gemini 1.5 Flash is exactly 50% cheaper than GPT-4o-mini for both input and output tokens.

Does Gemini charge for cached context hosting?

Yes, Google charges a tiny storage fee per hour for keeping cached contexts active in memory, which is billed alongside token costs.