HCODX/Gemini 2.5 Pro Cost Calculator
100% browser-based · Google AI pricing · 1M context window

Gemini Cost Calculator: 2.5 Pro API pricing estimator

Estimate cost for Gemini 2.5 Pro — Google's flagship multimodal model. Input $1.25/1M, output $10/1M. 1M-token context window for very long prompts.

Prompt text0 tokens
Cost breakdown
Options
3,000calls / month · ~100 / day
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Input tokens
0
Output tokens
0
Per call
Status
Ready
Pricing reference

Gemini 2.5 Pro pricing (per 1M tokens)

Google's flagship Gemini model. 1M-token context, multimodal, competitive pricing.

ModelInputOutputContext
Gemini 2.5 Pro$1.25$10.001M
Use cases

What you'll use this for

Forecasting AI spend is the difference between a sustainable feature and an unexpected invoice. Pre-flight every prompt.

Budget planning

Forecast monthly and annual costs based on expected call volume and prompt size.

Model selection

Compare model size variants side-by-side to pick the right cost/quality tradeoff.

Cost optimization

See how prompt caching, shorter outputs, and smaller models slash bills.

Pricing transparency

All rates visible up front — no surprises after the invoice arrives.

Step by step

How to estimate GPT costs

1

Paste your prompt

Drop a representative prompt into the left editor. Tokens are estimated at ~4 chars/token.

2

Set expected output tokens

How long do you expect the response to be? Default 500 covers a paragraph or two.

3

Set calls per day

How often does this prompt run? 100 = trial-scale, 10000+ = production-scale.

4

Read the forecast

Per-call, per-day, per-month, per-year totals update live as you tweak inputs.

FAQ

Frequently asked questions

We use ~4 chars/token, accurate to about ±20%. For exact counts use the model-specific token counter such as the OpenAI token counter.

OpenAI's public pricing pages as of 2026. Subject to change — always confirm at openai.com/pricing before signing contracts.

Yes. Completely free, no signup, runs entirely in your browser.

Toggle "Cached input" to apply the model's published cached rate. OpenAI's prompt caching kicks in for repeated prefixes ≥ 1024 tokens and the discount is per-model (typically 50–87%). DeepSeek and Anthropic offer ~90% off cached input.

Provider tokenizers can differ slightly from our estimate; system prompts and tool definitions also count toward input; rates change over time. Treat this as a planning tool, not a billing replica.

About

About Gemini 2.5 Pro API pricing

Gemini 2.5 Pro is Google's flagship — natively multimodal (text, image, audio, video) with a 1M-token context window. At $1.25/1M input it's about half the price of GPT-4o, and the giant context unlocks workflows that simply don't fit elsewhere.

When Gemini 2.5 Pro is the right pick

  • You need to feed entire books, codebases, or hours of video into one prompt.
  • Multimodal reasoning across image / audio / video.
  • You want competitive quality at lower price than GPT-4o or Claude Opus.

Cost notes

  • Output bills 8x input — keep responses bounded.
  • Long-context calls can multiply input cost fast — every 1M tokens at $1.25 is one full context.
  • Context caching available; check Google's pricing page for current discounts.
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