MiniMax M3

MiniMax M3

MiniMax
Smaug Flash

Smaug Flash

Abacus.AI
+
+

Related Products

  • Gemini Enterprise Agent Platform
    999 Ratings
    Visit Website
  • Creatio
    586 Ratings
    Visit Website
  • LTX
    182 Ratings
    Visit Website
  • LM-Kit.NET
    29 Ratings
    Visit Website
  • Dialpad Support
    1,600 Ratings
    Visit Website
  • Daylight
    11 Ratings
    Visit Website
  • Zendesk
    7,958 Ratings
    Visit Website
  • TelemetryOS
    280 Ratings
    Visit Website
  • JetBrains Junie
    12 Ratings
    Visit Website
  • Planview AdaptiveWork
    714 Ratings
    Visit Website

About

MiniMax M3 is an open-weight multimodal AI model designed for coding, agentic workflows, long-context reasoning, and complex automation tasks. The model combines frontier-level coding performance, native multimodal understanding, and a context window of up to 1 million tokens. MiniMax M3 uses MiniMax Sparse Attention to improve long-context efficiency while reducing compute requirements for large-scale inputs. It supports text, image, and video understanding, making it useful for workflows that combine code, documents, visual references, and tool-driven tasks. The model is built for repository-scale reasoning, software engineering, autonomous task execution, tool calling, and multi-step agent workflows. MiniMax M3 helps developers, AI teams, and enterprises build capable agents that can reason across large contexts and work with multimodal information.

About

Smaug Flash is a family of three open-weight models fine-tuned by Abacus.AI for production agentic workloads, with each model positioned at a different point on the capability–efficiency curve. The line is trained using human-curated real-world agentic traces combined with synthetic data grounded in difficult examples, producing gains in agentic coding, real-world tool use, automation, long-context reasoning, and instruction following. Smaug Flash, based on DeepSeek V4 Flash 0731, is the workhorse model for enterprise self-improving agents where speed, efficiency, and reliable agent performance need to coexist. It is specifically tuned to reduce the spins and confusion that can appear during long-context tool use while retaining the base model’s speed advantages. Smaug Mini, based on Qwen3.8 27B, targets multimodal use cases and smaller reasoning tasks in a more compact package, with stronger real-world agentic ability for one-off workflows.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

MiniMax M3 is best suited for developers, AI engineers, coding assistant builders, enterprise automation teams, research teams, data teams, agent developers, and organizations that need open-weight AI for coding, long-context reasoning, multimodal understanding, tool use, repository analysis, and autonomous workflows

Audience

Developers, AI researchers, and enterprises seeking models optimized for coding, tool use, automation, multimodal tasks, and long-running agentic workflows

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

$0.30 per million input tokens
$0.30 per million input tokens and $1.20 per million output tokens
Free Version
Free Trial

Pricing

No information available.
Free Version
Free Trial

Reviews/Ratings

Overall 5.0 / 5
ease 4.0 / 5
features 4.0 / 5

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Pros & Cons from Real Users

Pros

  • The multimodal side also makes it more flexible than a code-only model. Being able to work across text, images, video-style understanding, and code gives it more room to support real workflows instead of being boxed into one narrow use case. For agent builders, the best part is that M3 is clearly designed around tool use and multi-step execution. MiniMax specifically calls out autonomous task decomposition and tool invocation, which is exactly what matters when a model is powering coding assistants, workflow agents, or automated dev tools.

Cons

  • The main catch is infrastructure and trust. Even with sparse attention and MoE efficiency, this is still a large model, so deployment is not casual. I would also want to benchmark it on my own repos before depending on it for production work.

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

MiniMax
Founded: 2021
Singapore
www.minimax.io

Company Information

Abacus.AI
Founded: 2019
United States
abacus.ai/smaug

Alternatives

Alternatives

MiniMax M3

MiniMax M3

MiniMax
GPT-5.6 Sol

GPT-5.6 Sol

OpenAI
DeepSeek-V4

DeepSeek-V4

DeepSeek
MiniMax

MiniMax

MiniMax AI
Hy3

Hy3

Tencent
MiniMax M1

MiniMax M1

MiniMax
Qwen3.6-Plus

Qwen3.6-Plus

Alibaba

Categories

Categories

Integrations

APIFree
Alibaba AI Coding Plan
Claude Code
Clawd.run
ClinePass
Factory Droid
Fireworks AI
Hermes Agent
Kilo Code
MaxHermes
MiniMax Agent
MiniMax Code
OpenClaw
OpenCode Go
OpenCode Zen
OpenTag
Roo Code
Tabbit Browser
Together AI
Vision Agents

Integrations

APIFree
Alibaba AI Coding Plan
Claude Code
Clawd.run
ClinePass
Factory Droid
Fireworks AI
Hermes Agent
Kilo Code
MaxHermes
MiniMax Agent
MiniMax Code
OpenClaw
OpenCode Go
OpenCode Zen
OpenTag
Roo Code
Tabbit Browser
Together AI
Vision Agents
Claim MiniMax M3 and update features and information
Claim MiniMax M3 and update features and information
Claim Smaug Flash and update features and information
Claim Smaug Flash and update features and information