MiniMax M3

MiniMax-M3 is a native multimodal model with 1M context. It has ~428B parameters and ~23B activated parameters.

Context
524K
Max output
512K
Input
$0.30
Output
$1.2
DECISION SUMMARY

Recommended use cases

Strengths in this dataset

  • 524,288-token context window
  • text, image, video input
  • 19 supported API parameters listed

Limits and caveats

  • Provider behavior and pricing can change; verify the linked sources before production use.
CAPABILITIES

Capability

Model-native facts

Model
Reasoning
Supported
Open weights
Unknown

Provider endpoint facts

Provider endpoint
Tool calling
Supported
Structured output
Supported
Streaming
Unknown
Prompt cache
Supported
Batch
Unknown
Fine-tuning
Unknown
PROVIDER PRICING

MiniMax M3 Provider pricing

Provider endpoint: minimax/minimax-m3

Input
$0.30
per 1M tokens
Output
$1.2
per 1M tokens
Cached input
$0.06
per 1M tokens
Image output
Unknown
per 1M tokens
SOURCE RECORDS

Sources and verification

Hugging Face model card

Fields: tags, gated, license, summary, library name, pipeline tag

OpenRouter Models API

Fields: identity, description, modalities, context window, maximum output, pricing, supported parameters

MODEL FAQ

Frequently asked questions

Answers are generated from the same sourced model and provider facts shown above.

MiniMax-M3 is a native multimodal model with 1M context. It has ~428B parameters and ~23B activated parameters.

Model specifications and prices may vary by provider and change over time. AIToolly displays sources and verification dates so users can confirm critical details before production use.