Model Cost Profile

MiniMax: MiniMax M2.1

Developer: minimax

Pricing updated Mar 11, 2026

Input rank: #166Output rank: #169

Live Pricing

Input: $0.2700

Output: $0.9500

Pricing via OpenRouter API ยท Last synced Mar 11, 2026

MiniMax M2.1 by minimax features an extensive context window of 196,608 tokens, making it suitable for applications requiring deep contextual understanding, such as legal document analysis or long-form content generation. With an input price of $0.27 per million tokens and an output price of $0.95 per million tokens, teams can effectively manage costs while leveraging the model for high-volume tasks like customer support automation and data processing. This pricing structure allows organizations to scale their usage according to project needs, optimizing budget allocation for API consumption.

๐Ÿ”ง Tool Calling๐Ÿ“‹ Structured Output๐Ÿง  Reasoning

Context Window

196,608

Tokens

Input Price / 1M

$0.2700

Prompt tokens

Output Price / 1M

$0.9500

Completion tokens

Intelligence (MMLU)

Benchmark Pending

Massive Multitask Language Understanding

Price History

MiniMax: MiniMax M2.1 Pricing Trend

Input / 1M tokens0.0%Output / 1M tokens0.0%
Mar 7 โ€” Mar 11
$0.2700$0.6100$0.9500Mar 7Mar 8Mar 9Mar 10Mar 11

Current Input / 1M

$0.2700

Current Output / 1M

$0.9500

Cheaper Alternatives to Compare

Quick links for cost-down decisions before production rollout.

FAQ

Common pricing and benchmark questions for MiniMax: MiniMax M2.1.

How much does MiniMax: MiniMax M2.1 cost per 1M input tokens?

MiniMax: MiniMax M2.1 input pricing is $0.2700 per 1M tokens based on the latest synced provider data.

How much does MiniMax: MiniMax M2.1 cost per 1M output tokens?

MiniMax: MiniMax M2.1 output pricing is $0.9500 per 1M tokens based on the latest synced provider data.

What context window does MiniMax: MiniMax M2.1 support?

MiniMax: MiniMax M2.1 supports a context window of 196,608 tokens.

How can I compare MiniMax: MiniMax M2.1 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.