MiniMax M2

by MiniMaxminimax/minimax-m2

  • Text
  • No route yet
  • Released

LLMCompare cannot run MiniMax M2 yet.No route to this model is configured on this site yet. Its prices and parameters are listed below for reference.

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MiniMax M2 at a glance

Context length
204,800 tokens
Maximum output
131,072 tokens
Accepts
Text
Returns
Text
Features
JSON outputTool calling
Reasoning effort levels
Not supported
Released
23 Oct 2025
Knowledge cutoff
Not published

Model facts synced from the OpenRouter model list on 21 Oct 2026.

MiniMax M2 pricing by route

A route is the service LLMCompare calls to reach the model. MiniMax M2 has 1 route. Prices are in US dollars.

Prices of MiniMax M2 on each route
RouteOn LLMCompareInputper 1M tokensOutputper 1M tokensPrice verified onSource
OpenRouterDefaultNot configured$0.255$1.02openrouter.ai/minimax/minimax-m2

The cost shown in an LLMCompare report is calculated from these prices as they were at the time of the run.

Cost calculator

Estimate what a batch of calls to MiniMax M2 costs. The starting numbers are examples. Change them to match your task.

Cost per call
$0.00077
1 credits
Cost of 100 calls
$0.0765
100 credits

Calculated from the OpenRouter prices verified on 21 Oct 2026. Credits are the cost plus a 20% service fee, at $0.001 per credit, rounded up for each call, with a minimum of 1 per call. A real run is charged for the usage the provider reports.

Parameters you can set

These are the parameters LLMCompare can set when it calls the model through OpenRouter.

Parameters of MiniMax M2
ParameterTypeRange or optionsDefault
temperatureNumber0 to 2in steps of 0.1Provider default
top_pNumber0 to 1in steps of 0.05Provider default
max_tokensInteger1 to 131,072Provider default
seedInteger-2,147,483,648 to 4,294,967,295Provider default
response_formatOne oftextjson_objectProvider default

About MiniMax M2

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,...

Description as published for this model. LLMCompare has not edited it.

Models to compare with MiniMax M2

Text models from the same provider and models at the nearest price. The order is not a ranking.

Models to compare with MiniMax M2
Add to comparisonModelContextMax outputInput priceper 1M tokensOutput priceper 1M tokensFeaturesReleasedOn LLMCompare
MiniMax-01MiniMaxminimax/minimax-011M900k$0.20$1.10VisionNo route yet
MiniMax M2.5MiniMaxminimax/minimax-m2.5205k32.8k$0.27$0.95JSONToolsCacheNo route yet
MiniMax M3MiniMaxminimax/minimax-m31.05M512k$0.30$1.20JSONToolsCacheVisionNo route yet
DeepSeek V3.1 TerminusDeepSeekdeepseek/deepseek-v3.1-terminus164k147k$0.27$1.00JSONToolsNo route yet
DeepSeek V4 Pro 0423DeepSeekdeepseek/deepseek-v4-pro1.05M384k$0.4225$0.8449ReasoningJSONToolsCacheNo route yet
DeepSeek V3DeepSeekdeepseek/deepseek-chat164k16k$0.2574$1.03JSONToolsNo route yet

Questions about MiniMax M2

How much does MiniMax M2 cost?
On the OpenRouter route, MiniMax M2 costs $0.255 per 1 million input tokens and $1.02 per 1 million output tokens, in US dollars. LLMCompare verified this price on 21 Oct 2026.
What is the context length of MiniMax M2?
MiniMax M2 has a context length of 204,800 tokens and returns up to 131,072 output tokens in one call.
What inputs does MiniMax M2 accept?
MiniMax M2 accepts these inputs: Text. MiniMax M2 returns: Text.
Can I test MiniMax M2 on my own data?
Not yet. LLMCompare lists the prices and parameters of MiniMax M2, but no route to MiniMax M2 is configured on LLMCompare, so it cannot be selected for an evaluation.