1 million MiniMax-01 (4M Context) tokens cost $0.20 as input or $1.10 as output. Most workloads land in between — a 70/30 input/output split costs about $0.47. Verified Aug 28, 2026
Quick answer
For MiniMax-01 (4M Context), 1 million tokens cost $0.20 as input or $1.10 as output. A representative 70/30 workload is about $0.47.
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
1,000,000 in · 0 out
Input price
$0.20 / 1M tokens
Output price
$1.10 / 1M tokens
Uncached pricing. Add caching and monthly projections in the full calculator.
What 1 million tokens buys in practice
$0.38
80% input / 20% output — short replies over conversation history.
$0.29
90% input / 10% output — long retrieved context, grounded answers.
$0.245
95% input / 5% output — full documents in, structured extraction out.
Same 1 million tokens on other models
Related calculations
FAQ
1 million input tokens cost $0.20; 1 million output tokens cost $1.10. A typical 70/30 input/output mix costs about $0.47. Rates: $0.20/M input, $1.10/M output.
A chat-style request of ~4,800 tokens (4,000 in + 800 out) means 1 million tokens is roughly 208 requests. For a RAG workload with ~8,500 tokens per request, about 118 requests.
Yes — cached input costs $0.04/M instead of $0.20/M, a 80% discount on repeated context.