# MiniMax releases M3.1 Flash weights with 428B total parameters

> Original title: MiniMax M3.1 Flash weights are now public. 428B parameters total, 23B activated per token.

- Source: MiniMax
- Published: 2026-10-23T01:06:29.000Z
- Bad Influence: https://badinfluence.news/items/dnzxl4prq6vf5c4kis9ivooyx
- Original: https://x.com/MiniMax_AI/status/2113436864904610008

## Summary

MiniMax says the M3.1 Flash model weights are now public, with 428B total parameters and 23B activated per token. The company reports 73.7% on DeepSWE v1.1 and 82.2 on CyberGym, and lists API pricing of $0.15 and $0.60 per 1M input and output tokens. Weights are available on Hugging Face and ModelScope.

## Why it matters

The post gives a benchmark table comparing MiniMax M3.1 Flash with several rival models, useful for judging its coding and agent performance against peers.

## Post

MiniMax M3.1 Flash weights are now public. 428B parameters total, 23B activated per token.

Agentic performance: A generational leap in agentic tasks, coding, and cybersecurity — 76.2 on BankerToolBench, 73.7% on DeepSWE v1.1, 61.7 on OSWorld V2, 29.6 on Agents' Last Exam, and 82.2 on CyberGym.
Efficient by design: MiniMax Sparse Attention and DSpark speculative decoding improve inference efficiency.

Hugging Face:
https://huggingface.co/MiniMaxAI/MiniMax-M3.1-Flash
ModelScope:
https://modelscope.cn/models/MiniMax/MiniMax-M3.1-Flash

API: http://platform.minimax.io
M Plan: https://minimax.io/m-planMiniMax
MCode for desktop: https://agent.minimax.io/download

## Quoted post @MiniMax_AI

> MiniMax M3.1 Flash: Space Performance + Bunny Speed
> 
> 🚀🐰 Yes, Space Bunny  - which has topped global leaderboards with 200T+ tokens - was an earlier version of M3.1 Flash.
> 
> 💰Redefining the performance economics of agentic AI. M3.1 Flash achieves frontier-level intelligence across key tasks such as Cowork (Automation-Bench: 62%; ALE: 30%), Coding (DeepSWE: 74%) and Visual Reasoning (BabyVision: 91%), at 1/3 the cost of M3 and 3x the speed.
> 
> API pricing (flat rate): $0.15 / $0.60 per 1M input/output tokens, with cache reads at $0.015 / 1M tokens.
> 
> Model weights will arrive on Oct 23.
> 
> API: http://platform.minimax.io
> M Plan: https://www.minimax.io/m-plan
> MiniMax Code for desktop: https://agent.minimax.io/download

https://x.com/MiniMax_AI/status/2112150867868541221