Context Window
65,536
Tokens
Model Cost Profile
MiniMax: MiniMax M2-her
Developer: minimax
Pricing updated Mar 11, 2026
Input rank: #174Output rank: #186
MiniMax M2-her, developed by minimax, features an extensive context window of 65,536 tokens, making it suitable for applications requiring in-depth analysis and long-form content generation. With an input price of $0.30 per million tokens and an output price of $1.20 per million tokens, teams can effectively manage costs while leveraging the model for tasks such as summarization, data extraction, and conversational AI. This pricing structure allows organizations to scale their usage based on specific project needs, ensuring efficient budget allocation for API consumption.
Input Price / 1M
$0.3000
Prompt tokens
Output Price / 1M
$1.20
Completion tokens
Intelligence (MMLU)
Benchmark Pending
Massive Multitask Language Understanding
Side-by-Side Pricing Table
| Usage Type | Price / 1M Tokens |
|---|---|
| Input (Prompt) | $0.3000 |
| Output (Completion) | $1.20 |
Price History
MiniMax: MiniMax M2-her Pricing Trend
Input / 1M tokens0.0%Output / 1M tokens0.0%
Mar 7 — Mar 11
Current Input / 1M
$0.3000
Current Output / 1M
$1.20
Cost Calculator
Estimate monthly spend for MiniMax: MiniMax M2-her based on your workload.
01.0B
0500M
Estimated Monthly Cost
$22
25M input + 12M output tokens
Cheaper Alternatives to Compare
Quick links for cost-down decisions before production rollout.
FAQ
Common pricing and benchmark questions for MiniMax: MiniMax M2-her.
How much does MiniMax: MiniMax M2-her cost per 1M input tokens?
MiniMax: MiniMax M2-her input pricing is $0.3000 per 1M tokens based on the latest synced provider data.
How much does MiniMax: MiniMax M2-her cost per 1M output tokens?
MiniMax: MiniMax M2-her output pricing is $1.20 per 1M tokens based on the latest synced provider data.
What context window does MiniMax: MiniMax M2-her support?
MiniMax: MiniMax M2-her supports a context window of 65,536 tokens.
How can I compare MiniMax: MiniMax M2-her 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.