MiniMax-M3

Facts

Released

2026-06-02 the day the repository was first published on Hugging Face Hugging Face, read 2026-09-24

Licence

other the licence the model card declares Hugging Face, read 2026-09-24

Open weights

Yes the weights are published in this Hugging Face repository Hugging Face, read 2026-09-24

Parameters

427.0 billion counted from the safetensors weight files Hugging Face, read 2026-09-24

Active parameters

5.8 billion estimate estimated from the expert counts and sizes in the configuration model configuration, read 2026-09-24

Knowledge cutoff

Unknown

Context window

• 1,048,576 tokens the maximum position embeddings in the model configuration model configuration, read 2026-09-24

Longest output

Unknown

Tool calling

Unknown

Structured output

Unknown

Reasoning controls

Unknown

Inputs and outputs

text, image in, text out Hugging Face, read 2026-09-24

Good for

• Vision: Hugging Face files it under image-text-to-text Hugging Face, read 2026-09-24

Prices

Run it on your own hardware

Weights are the sizes of the files a source lists, or an estimate from the parameter count where none does. Memory is an estimate: weights plus KV cache plus 512 MiB and 5 percent of the weights for runtime buffers. Check it against your hardware.

Start it with a local runtime

• Ollama

  ollama run hf.co/unsloth/MiniMax-M3-GGUF:UD-IQ1_M

• LM Studio

  lms get unsloth/MiniMax-M3-GGUF
  lms server start

• llama.cpp server

  llama-server -hf unsloth/MiniMax-M3-GGUF:UD-IQ1_M --jinja

• vLLM

  vllm serve MiniMaxAI/MiniMax-M3

• SGLang

  sglang serve --model-path MiniMaxAI/MiniMax-M3 --port 30000

Use it from your harness

Set up for Abacus with the model MiniMaxAI/MiniMax-M3. Each endpoint page has the same setup for its own address.

{
  "$schema": "https://opencode.ai/config.json",
  "provider": {
    "abacus": {
      "npm": "@ai-sdk/openai-compatible",
      "name": "Abacus",
      "options": {
        "baseURL": "https://routellm.abacus.ai/v1",
        "apiKey": "{env:ABACUS_API_KEY}"
      },
      "models": {
        "MiniMaxAI/MiniMax-M3": {
          "name": "MiniMax-M3"
        }
      }
    }
  }
}

{
  "providers": {
    "abacus": {
      "baseUrl": "https://routellm.abacus.ai/v1",
      "api": "openai-completions",
      "apiKey": "$ABACUS_API_KEY",
      "models": [
        {
          "id": "MiniMaxAI/MiniMax-M3"
        }
      ]
    }
  }
}

Other ways to reach it

• DeepInfra, model MiniMaxAI/MiniMax-M3
• GMI Cloud, model MiniMaxAI/MiniMax-M3
• Hugging Face, model MiniMaxAI/MiniMax-M3
• Lilac, model minimaxai/minimax-m3
• Nebius Token Factory, model MiniMaxAI/MiniMax-M3
• Nvidia, model minimaxai/minimax-m3
• Pioneer, model MiniMaxAI/MiniMax-M3
• SiliconFlow, model MiniMaxAI/MiniMax-M3
• Together AI, model MiniMaxAI/MiniMax-M3
• CoreWeave, model MiniMaxAI/MiniMax-M3

Published results

These are results other people published. Baltor did not run them and does not rank models by them.

• Results the maker published on the model card published by MiniMaxAI Hugging Face, read 2026-09-24