MiniMax M3

MiniMax M3

MiniMax
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About

DeepSeek-V4.1-Flash is a fast, versatile AI model designed for demanding coding, agentic, creative, and spatial reasoning workloads. Building on DeepSeek-V4-Flash, it emphasizes high-speed generation while maintaining strong performance on complex tasks, reaching more than 400 tokens per second and peaking at around 427 tokens per second in reported tests. The model can tackle advanced programming challenges, generate interactive 3D environments, create voxel-based designs, and reason about spatially complex scenes and simulations. Demonstrations include Minecraft-style worlds, classical Chinese gardens, racing environments, dungeon navigation, exploded camera views, and other applications requiring both code generation and an understanding of spatial relationships. Its capabilities make it suitable for rapid prototyping, game development, 3D workflows, architecture, research, and other technical or creative projects where iteration speed matters.

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.

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

Developers, AI engineers, researchers, creators, and professionals wanting a high-speed model for coding, agentic workflows, spatial reasoning, simulations, and interactive content generation

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

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

No information available.
Free Version
Free Trial

Pricing

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

Reviews/Ratings

Overall 5.0 / 5
ease 5.0 / 5

Reviews/Ratings

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

Pros & Cons from Real Users

Pros

  • The appeal is obvious for developers: fast generation, lower cost, and enough capability to handle real coding-agent tasks instead of only lightweight chat. If V4.1 Flash really improves speed and cost while keeping or beating V4-Pro-level performance, it could be one of the best everyday models for repo work, debugging, automation, and AI coding tools.

Cons

  • No cons to speak of as of yet. Super close to frontier at cheap prices

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

DeepSeek
Founded: 2023
China
deepseek.com

Company Information

MiniMax
Founded: 2021
Singapore
www.minimax.io

Alternatives

Alternatives

Grok 4.6

Grok 4.6

SpaceXAI
GPT-5.6 Sol

GPT-5.6 Sol

OpenAI
DeepSeek-V4

DeepSeek-V4

DeepSeek
MiniMax

MiniMax

MiniMax AI
MiniMax M1

MiniMax M1

MiniMax

Categories

Categories

Integrations

Cline
ClinePass
OpenClaw
OpenTag
Together AI
APIFree
Alibaba AI Coding Plan
BLACKBOX AI
Buda
Cheaper Inference
Claude Code
DeepSeek
DeepSeek-V4
Kilo Code
OpenCode Go
Pi Agent
Reasonix
Tabbit Browser
Vision Agents
ZooClaw

Integrations

Cline
ClinePass
OpenClaw
OpenTag
Together AI
APIFree
Alibaba AI Coding Plan
BLACKBOX AI
Buda
Cheaper Inference
Claude Code
DeepSeek
DeepSeek-V4
Kilo Code
OpenCode Go
Pi Agent
Reasonix
Tabbit Browser
Vision Agents
ZooClaw
Claim DeepSeek -V4.1-Flash and update features and information
Claim DeepSeek -V4.1-Flash and update features and information
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