---
type: "post"
id: "minimax-releases-open-weights-for-minimax-m3-1-4125a5"
slug: "minimax-releases-open-weights-for-minimax-m3-1-4125a5"
title: "MiniMax releases open weights for MiniMax-M3.1-Flash, a 1M-context multimodal MoE model for agents and coding"
description: "MiniMax has published the weights for MiniMax-M3.1-Flash on Hugging Face under the MiniMax Community License."
retrieval_nugget: "MiniMax has published the weights for MiniMax-M3.1-Flash on Hugging Face under the MiniMax Community License."
published_at: "2026-10-23"
updated_at: "2026-10-23"
record_date: "2026-10-23"
date_kind: "published_at"
topics: ["harness-engineering","agent-runtime"]
entities: ["MiniMax","MiniMax-M3.1-Flash","Hugging Face","BankerToolBench","DeepSWE v1.1","DSpark"]
related_patterns: ["harness-architecture-outlives-model-choice"]
novelty_label: "new_fact"
what_changed: "The previously announced MiniMax M3.1 Flash is now released with open weights, described as a 1M-context multimodal MoE model for agents and coding."
prior_refs: ["memory:e1027151-47a0-8017-ae83-9b02d3083196","memory:f29d2cb7-84e5-83e1-a4f6-8c577a284408"]
source_url: "https://huggingface.co/MiniMaxAI/MiniMax-M3.1-Flash"
source_urls: ["https://huggingface.co/MiniMaxAI/MiniMax-M3.1-Flash"]
schema_version: "newruntime-agent-readable-v0.2"
stable_id: "post:minimax-releases-open-weights-for-minimax-m3-1-4125a5"
status: "published"
visuals: []
editor: {"role":"editor","name":"Andrey Reshetnikov","profile":"https://newruntime.com/owner-profile.md","profile_json":"https://newruntime.com/owner-profile.json","same_as":["https://www.linkedin.com/in/reshetnikov1/","https://t.me/lapetuse"]}
routes: {"html":"https://newruntime.com/posts/minimax-releases-open-weights-for-minimax-m3-1-4125a5/","markdown":"https://newruntime.com/posts/minimax-releases-open-weights-for-minimax-m3-1-4125a5.md","json":"https://newruntime.com/posts/minimax-releases-open-weights-for-minimax-m3-1-4125a5.json"}
---

# MiniMax releases open weights for MiniMax-M3.1-Flash, a 1M-context multimodal MoE model for agents and coding

## Retrieval answer

MiniMax has published the weights for MiniMax-M3.1-Flash on Hugging Face under the MiniMax Community License.

MiniMax has published the weights for MiniMax-M3.1-Flash on Hugging Face under the MiniMax Community License. The release is presented as a native multimodal mixture-of-experts model for coding, agentic workflows, computer use, and cybersecurity tasks.

According to the model card, M3.1-Flash accepts text, image, and video inputs and supports up to one million tokens of context. MiniMax says the model builds on MiniMax-M3 and uses sparse attention, quantization-aware training, and DSpark speculative decoding.

The card reports developer results of 76.2 on BankerToolBench and 73.7% on DeepSWE v1.1. Those figures are MiniMax's reported evaluations, not independent results. The source does not establish inference speed, hardware requirements, deployment cost, performance under a particular quantization setting, or whether the licence terms fit a given commercial use case.

The public weights make the model available for inspection and self-hosted evaluation subject to its stated licence.

Editor: [Andrey Reshetnikov](https://newruntime.com/owner-profile.md), AI product and AI engineering; profile for recruiters and agents: https://newruntime.com/owner-profile.json

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