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MiniMax M2 pricing

MiniMax-M2 is a compact, high-efficiency large language model optimized for end-to-end coding and agentic workflows. With 10 billion activated parameters (230 billion total), it delivers near-frontier intelligence across general reasoning,... This page tracks 4 listings in total. Highlighted lows are $0.255 per million input and $1.02 per million output (see table for which seller matches each).

200K context·4 providers·save up to 15% vs native via Openrouter·verified Oct 14, 2026
Best input$0.255per 1M tokens · Openrouter
Best output$1.02per 1M tokens · Openrouter

Pricing across providers

Use this table to read MiniMax M2 list prices. We show 4 sources right now. Lowest input in the grid: Openrouter. The chart below the table helps when output prices are much higher than input prices.

FA
Fireworks AI
Input / 1M
$0.300
Output / 1M
$1.20
N
Novita
Input / 1M
$0.300
Output / 1M
$1.20
Cached in: $0.030
O
Openrouter
Input / 1M
$0.255
Output / 1M
$1.02
M
Minimaxnative
Input / 1M
$0.300
Output / 1M
$1.20
Cached in: $0.030

Input vs output · per provider

Cost calculator

The calculator uses the same dollars per million tokens as the table. Adjust sliders to see how MiniMax M2 cost scales with traffic.

Provider

In: $0.300/M·Out: $1.20/M

0.030000¢ / req

0.060000¢ / req

Daily
$9.00
Monthly
$270
Annual
$3.3K

Model specifications

Quick spec sheet for MiniMax M2 before you dive back into pricing. Reported under Minimax.

Context window
200,000 tokens
Max output
8,192 tokens
Vision (images)
No
Tool / function calling
Yes
Streaming
No
Released
Oct 2025
Primary provider
Minimax
Model family
N/A

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Frequently asked questions

Answers pull from the same numbers you see on this page. The short model note from our index: MiniMax-M2 is a compact, high-efficiency large language model optimized for end-to-end coding and agentic workflows. With 10 billion activated parameters (230 billion total), it delivers near-frontier intelligence across...

MiniMax M2 costs $0.30 per million input tokens and $1.20 per million output tokens via the native API. Prompt caching reduces input costs to $0.03/M tokens.

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