Verified 2025-09-22 · sourced from OpenAI
100K GPT-4o Tokens — Cost Breakdown
Use this guide to benchmark budgets for 100,000 tokens. Standard pricing is $2.50 per million input tokens and $10.00 per million output tokens. Cached input, when available, reduces costs significantly for repeated contexts.
Scenario breakdown
Cost estimates for different input/output distributions using 100K total tokens.
| Scenario | Tokens in | Tokens out | Standard cost | Cached cost |
|---|---|---|---|---|
Balanced conversation 50% input · 50% output | 50,000 | 50,000 | $0.625 | $0.563 |
Input-heavy workflow 80% input · 20% output | 80,000 | 20,000 | $0.400 | $0.300 |
Generation heavy 30% input · 70% output | 30,000 | 70,000 | $0.775 | $0.738 |
Cached system prompt 90% cached input · 10% fresh output | 90,000 | 10,000 | $0.325 | $0.212 |
Workload multipliers
Convert 100K tokens into daily and monthly run-rate budgets.
| Profile | Runs/day | Tokens/day | Daily cost | Monthly cost | Cached daily | Cached monthly |
|---|---|---|---|---|---|---|
| Single workload | 1 | 100,000 | $0.625 | $18.75 | $0.212 | $6.38 |
| Daily batch (10 runs) | 10 | 1,000,000 | $6.25 | $187.50 | $2.13 | $63.75 |
| Team workload (100 runs) | 100 | 10,000,000 | $62.50 | $1875.00 | $21.25 | $637.50 |
Frequently asked questions
What is the standard cost of 100K GPT-4o tokens?
100K tokens in a 50/50 conversation mix cost roughly $0.625 at the published OpenAI rates.
What happens if cached input is enabled?
With cached contexts, the same 100K tokens drop to $0.563 because input costs fall to $1.250 per million tokens.
How many requests does 100K tokens cover?
If your prompts average around 3,000 tokens per call, 100K total tokens cover about 33 requests.
How fresh is the pricing information?
Prices are taken from https://platform.openai.com/docs/pricing and were last verified on 2025-09-22. models.json keeps this guide in sync with upstream changes.