MiniMax M3 Reviews

MiniMax M3

5.0 out of 5 stars

Average Ratings 0 Ratings

Total 0 out of 5 stars
ease 0 out of 5 stars
features 0 out of 5 stars
design 0 out of 5 stars
support 0 out of 5 stars

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Average Ratings 1 Rating

Total 5 out of 5 stars
ease 4 out of 5 stars
features 4 out of 5 stars

Description

Gemini 4 Carbon is a frontier AI model developed by Google DeepMind to support advanced cybersecurity defense, autonomous software engineering, and complex reasoning tasks. The model builds on Gemini 4 Argon with improvements in coding accuracy, long-running agent workflows, scientific problem-solving, and multimodal understanding. Its cybersecurity capabilities include identifying software vulnerabilities, validating exploitability, analyzing security risks, and generating code patches that address underlying defects. Gemini 4 Carbon achieved 88.2% on SEC-bench Pro for vulnerability detection, 54.8% on ExploitGym for exploit validation, and 71.0% on CWE-bench for vulnerability remediation in Google's reported evaluations. Its long-horizon agentic capabilities allow the model to investigate complex engineering problems, navigate dead ends, and coordinate tasks that may require extended execution. Software development features include repository-level debugging, secure code generation, full-stack web development, and automated remediation of difficult programming issues. The model also includes improved factual reliability, prompt injection resistance, instruction following, and safeguards against unintended actions. Google reports that Gemini 4 Carbon ranks first on the Artificial Analysis Intelligence Index version 5.0 with a score of 59.

Description

MiniMax M3 is a frontier open-weight AI model built for coding, agentic work, multimodal understanding, and ultra-long-context tasks. The model supports up to a 1 million token context window, allowing it to work across large codebases, long documents, logs, project histories, and complex task environments. MiniMax M3 introduces MiniMax Sparse Attention, a sparse attention architecture designed to make long-context processing more efficient. The model is natively multimodal, with training that supports deeper semantic fusion across text, image, and video inputs. It is designed to support software engineering tasks, repository analysis, terminal-style work, browser-style retrieval, tool use, and autonomous workflows. MiniMax M3 has a mixture-of-experts architecture with hundreds of billions of total parameters and a smaller activated parameter count for more efficient inference. Developers can use it for AI coding assistants, workflow automation, research agents, document analysis, visual reasoning, and enterprise AI systems. Its long-context capability makes it especially useful when tasks require many files, references, instructions, or interaction histories to stay available at once. MiniMax M3 helps teams build more capable AI agents that can understand larger problems, work across multiple modalities, and execute complex tasks with stronger context awareness.

API Access

Has API Yes 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

Factory Droid Yes 
Hermes Agent Yes 
OpenClaw Yes 
.NET Yes 
C# Yes 
C++ Yes 
Gemini 3.5 Flash Cyber Yes 
Gemini 3.5 Flash-Lite Yes 
Gemini 3.8 Flash Cyber Yes 
Gemini Computer Use Yes 
Google AI Studio Yes 
Google Antigravity Yes 
JetBrains Junie Yes 
Kilo Code No 
MiniMax Code No 
OpenCode Zen No 
OpenTag No 
PHP Yes 
PowerShell Yes 
TypeScript Yes 

Integrations

Factory Droid Yes 
Hermes Agent Yes 
OpenClaw Yes 
.NET No 
C# No 
C++ No 
Gemini 3.5 Flash Cyber No 
Gemini 3.5 Flash-Lite No 
Gemini 3.8 Flash Cyber No 
Gemini Computer Use No 
Google AI Studio No 
Google Antigravity No 
JetBrains Junie No 
Kilo Code Yes 
MiniMax Code Yes 
OpenCode Zen Yes 
OpenTag Yes 
PHP No 
PowerShell No 
TypeScript No 

Pricing Details

$2 per 1M tokens (input)
$2 per million input tokens and $10 per million output tokens, with cached input tokens priced at 95% off input token price.
Free Trial No 
Free Version No 

Pricing Details

$0.30 per million input tokens
$0.30 per million input tokens and $1.20 per million output tokens
Free Trial No 
Free Version Yes 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises Yes 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
Mac Yes 
Linux Yes 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

Google

Founded

1998

Country

United States

Website

gemini.com

Vendor Details

Company Name

MiniMax

Founded

2021

Country

Singapore

Website

www.minimax.io

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