1,000 GPT-5.4 nano tokens cost $0.0002 as input or $0.00125 as output. Most workloads land in between — a 70/30 input/output split costs about $0.000515. Verified Aug 28, 2026
Quick answer
For GPT-5.4 nano, 1,000 tokens cost $0.0002 as input or $0.00125 as output. A representative 70/30 workload is about $0.000515.
Method & trust
The page prices the selected token volume using the model's listed input and output rates, then applies a 70/30 input/output split for the representative workload. Cached input, batch discounts, retries, and provider fees can change the final invoice.
Interactive calculator
1,000 in · 0 out
Input price
$0.20 / 1M tokens
Output price
$1.25 / 1M tokens
Uncached pricing. Add caching and monthly projections in the full calculator.
What 1,000 tokens buys in practice
$0.00041
80% input / 20% output — short replies over conversation history.
$0.000305
90% input / 10% output — long retrieved context, grounded answers.
$0.000253
95% input / 5% output — full documents in, structured extraction out.
Same 1,000 tokens on other models
FAQ
1,000 input tokens cost $0.0002; 1,000 output tokens cost $0.00125. A typical 70/30 input/output mix costs about $0.000515. Rates: $0.20/M input, $1.25/M output.
A chat-style request of ~4,800 tokens (4,000 in + 800 out) means 1,000 tokens is roughly 0.2 requests. For a RAG workload with ~8,500 tokens per request, about 0.1 requests.
Yes — cached input costs $0.02/M instead of $0.20/M, a 90% discount on repeated context.