Verified 2025-09-22 · sourced from Google
Gemini 2.5 Pro Token Calculator & Cost Guide
Estimate Google Gemini 2.5 Pro API usage in dollars before you send a single request. Standard pricing is $1.25 per million input tokens and $10.00 per million output tokens with a 200K token context window.
Context window
200,000 tokens
Input price
$1.25 / 1M
Output price
$10.00 / 1M
Cached input
Not published
Usage scenarios
Compare standard and cached pricing (where available) across common workloads.
| Scenario | Tokens in | Tokens out | Total tokens | Standard cost |
|---|---|---|---|---|
Quick chat reply Single user question with a short assistant answer | 650 | 220 | 870 | $0.0030 |
Coding assistant session Multi-turn pair programming exchange (≈6 turns) | 2,600 | 1,400 | 4,000 | $0.0173 |
Knowledge base response Retrieval-augmented answer referencing multiple passages | 12,000 | 3,000 | 15,000 | $0.0450 |
Near-max context run Large document processing approaching the 200K token limit | 176,000 | 24,000 | 200,000 | $0.460 |
Daily & monthly budgeting
Translate usage into predictable operating expenses across popular deployment sizes.
| Profile | Requests/day | Tokens/day | Daily cost | Monthly cost |
|---|---|---|---|---|
| Team pilot | 25 | 75,000 | $0.313 | $9.38 |
| Product launch | 100 | 500,000 | $1.94 | $58.13 |
| Enterprise scale | 500 | 3,000,000 | $12.50 | $375.00 |
Pricing notes
- Above 200K context, pricing increases to $2.50 input / $15 output per 1M tokens.
Frequently asked questions
How much does Gemini 2.5 Pro cost per 1,000 tokens?
At the published rates of $1.25 per million input tokens and $10.00 per million output tokens, a typical 1,000 token request (≈70% input, 30% output) costs about $0.0039.
What is the context window for Gemini 2.5 Pro?
Gemini 2.5 Pro supports up to 200,000 tokens (200K), allowing large prompts and retrieval-augmented payloads in a single call.
How fresh is the Gemini 2.5 Pro pricing data?
Pricing is sourced from https://ai.google.dev/gemini-api/docs/pricing and was last verified on 2025-09-22. The calculator updates automatically when models.json is refreshed.