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Batch Inference is now generally available on Runpod Serverless

MiniMax

MiniMax M3.1 Flash

MiniMax's open vision-language model with a 1M-token context, ready to serve on Runpod Serverless with vLLM or on a Pod.

Vision + language
Text generation
1M context
See deploy options

MiniMax M3.1 Flash

Specifications

Provider
MiniMax
Modality
Vision + language
Task
Text generation
Parameters
Active parameters
Context
1M tokens
Precision
Quantized
Weights
224
License
minimax-community
Released
2026-10-16
Endpoint ID
Weights on Hugging Face
MiniMaxAI/MiniMax-M3.1-Flash

Frequently asked questions

How do I deploy MiniMax M3.1 Flash on Runpod?

Deploy the vLLM worker from the Runpod Hub as a Serverless endpoint and set MODEL_NAME to MiniMaxAI/MiniMax-M3.1-Flash. The endpoint is OpenAI-compatible and scales to zero when idle. You can also run vLLM on a Pod.

What GPU do I need to run MiniMax M3.1 Flash?

Start with 4× H100 (320 GB VRAM). The weights take about 224 GB; longer contexts and more concurrent requests need extra memory for the KV cache.

How much does MiniMax M3.1 Flash cost on Runpod?

Serverless endpoints and Pods bill per second for the GPU you choose. A Serverless endpoint costs nothing while scaled to zero.

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No items found.
minimaxai-minimax-m3-1-flash
MiniMaxAI/MiniMax-M3.1-Flash
Vision + language
2026-10-16 17:00
4× H100