Model Cost Profile

MiniMax: MiniMax-01

Developer: minimax

Pricing updated Mar 11, 2026

Input rank: #134Output rank: #179

Live Pricing

Input: $0.2000

Output: $1.10

Pricing via OpenRouter API ยท Last synced Mar 11, 2026

MiniMax-01, developed by minimax, features an extensive context window of 1,000,192 tokens, making it suitable for applications that require processing large volumes of text, such as legal document analysis and long-form content generation. The input pricing at $0.20 per million tokens and output pricing at $1.10 per million tokens allows teams to effectively budget for projects that demand significant data handling while maintaining cost efficiency. This model is ideal for businesses looking to integrate advanced natural language processing capabilities into their workflows without incurring prohibitive costs.

๐Ÿ‘ Vision

Context Window

1,000,192

Tokens

Input Price / 1M

$0.2000

Prompt tokens

Output Price / 1M

$1.10

Completion tokens

Intelligence (MMLU)

Benchmark Pending

Massive Multitask Language Understanding

Price History

MiniMax: MiniMax-01 Pricing Trend

Input / 1M tokens0.0%Output / 1M tokens0.0%
Mar 7 โ€” Mar 11
$0.2000$0.6500$1.10Mar 7Mar 8Mar 9Mar 10Mar 11

Current Input / 1M

$0.2000

Current Output / 1M

$1.10

Cheaper Alternatives to Compare

Quick links for cost-down decisions before production rollout.

FAQ

Common pricing and benchmark questions for MiniMax: MiniMax-01.

How much does MiniMax: MiniMax-01 cost per 1M input tokens?

MiniMax: MiniMax-01 input pricing is $0.2000 per 1M tokens based on the latest synced provider data.

How much does MiniMax: MiniMax-01 cost per 1M output tokens?

MiniMax: MiniMax-01 output pricing is $1.10 per 1M tokens based on the latest synced provider data.

What context window does MiniMax: MiniMax-01 support?

MiniMax: MiniMax-01 supports a context window of 1,000,192 tokens.

How can I compare MiniMax: MiniMax-01 with cheaper alternatives?

Use the comparison links on this page to open direct model-vs-model pricing and benchmark pages, then evaluate monthly spend projections for your workload.