Pricing comparison

Gemini Flash vs GPT-4o Mini Cost

Compare lower-latency Google and OpenAI model cost assumptions for chat, automation, and high-volume product workflows.

Run the same usage scenario

This page compares available central model data and keeps the calculator close so you can test your real traffic assumptions quickly.

Comparison calculator

Adjust users, requests, and token assumptions to compare estimated monthly cost with the selected model.

Geminiexample-gemini-flashExample price

Input price

$0.50 / 1M tokens

Output price

$2.00 / 1M tokens

Last updated: 2026-06-27View pricing source

This model uses placeholder example pricing. Verify the official source before using it for planning.

Usage assumptions

Estimate traffic and token usage for an average request.

Estimated results

Run the calculator to see usage volume and projected cost.

Add your usage assumptions, then calculate to preview estimated AI API spend.

Side-by-side model cost

Side-by-side model comparison

Use one shared request volume and token scenario to compare selected models side by side.

Selected models

Choose two models by default, or add a third comparison slot.

Shared usage scenario

These numeric assumptions apply to every selected model.

Cheapest monthly

$252.00

Gemini example-gemini-flash

Highest monthly

$504.00

Most expensive selected monthly estimate.

Monthly spread

$252.00

Difference between highest and lowest selected model.

ModelInput priceOutput priceCached priceContext windowPer requestUnit costsMonthlyYearlyDifference
GeminiCheapest

example-gemini-flash

$0.50 / 1M tokens$2.00 / 1M tokensNot availableNot available

$0.001050

Input $0.000350 / output $0.000700

1K: $1.05

1M: $1,050.00

$252.00$3,024.00Baseline
OpenAI

example-openai-fast

$1.00 / 1M tokens$4.00 / 1M tokensNot availableNot available

$0.002100

Input $0.000700 / output $0.001400

1K: $2.10

1M: $2,100.00

$504.00$6,048.00

$252.00 / mo (100% more)

$3,024.00 / yr

Comparison details

The tables below use the central provider and model data already used by the calculator. Missing values are shown plainly.

Gemini Flash

$0.50 / 1M tokens

Gemini example-gemini-flash input price.

GPT-4o mini

$1.00 / 1M tokens

OpenAI example-openai-fast input price.

Requested modelAvailable matchInput priceOutput priceCached inputContext windowCapabilitiesLast updatedAction

Gemini Flash

Closest available local match

Gemini

example-gemini-flash

$0.50 / 1M tokens$2.00 / 1M tokensNot availableNot availabletext, vision, function calling2026-06-27

GPT-4o mini

Closest available local match

OpenAI

example-openai-fast

$1.00 / 1M tokens$4.00 / 1M tokensNot availableNot availabletext, function calling2026-06-27

Related links

Open provider pages, model pages, or broader pricing tables before making a model decision.

Comparison notes

Use these notes to interpret price differences without treating price as the only decision factor.

What is the fastest way to compare these models?

Use the pricing table for unit costs, then run the calculator with your own request and token assumptions.

Which workload should I test first?

Start with your highest-volume workflow because small per-request differences matter most there.

Can model capability change the cost decision?

Yes. A cheaper model can cost more overall if it needs longer prompts, retries, or fallback calls.