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

About MiniMax M3

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.

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Pricing

Starting Price:
$0.30 per million input tokens
Pricing Details:
$0.30 per million input tokens and $1.20 per million output tokens
Free Version:
Free Version available.

Integrations

API:
Yes, MiniMax M3 offers API access
See Integrations

Ratings/Reviews - 1 User Review

Overall 5.0 / 5
ease 4.0 / 5
features 4.0 / 5
More Reviews for MiniMax M3 Write a Review

Company Information

MiniMax
Founded: 2021
Singapore
www.minimax.io

Videos and Screen Captures

MiniMax M3 Screenshot 1
MiniMax M3 Screenshot 1
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Product Details

Platforms Supported
Cloud
Windows
Mac
Linux
On-Premises
Training
Documentation
Support
Online

MiniMax M3 Frequently Asked Questions

Q: What kinds of users and organization types does MiniMax M3 work with?
MiniMax M3 works with these users and organization types: Mid Size Business, Small Business, Enterprise, Freelance, Nonprofit, Government, and Startup.
Q: What languages does MiniMax M3 support in their product?
MiniMax M3 supports these languages: English.
Q: What kind of support options does MiniMax M3 offer?
MiniMax M3 offers support via online.
Q: What other applications or services does MiniMax M3 integrate with?
MiniMax M3 integrates with: Alibaba AI Coding Plan, APIFree, BLACKBOX AI, Claude Code, Clawd.run, Cline, ClinePass, Factory Droid, Fireworks AI, Hermes Agent, Kilo Code, MaxHermes, MiniMax Agent, MiniMax Code, MiniMax Mavis, Ollama, OpenClaw, OpenCode Go, OpenCode Zen, OpenTag, Pi Agent, Roo Code, Tabbit Browser, Together AI, and Vision Agents.
Q: Does MiniMax M3 have an API?
Yes, MiniMax M3 has an API.
Q: What type of training does MiniMax M3 provide?
MiniMax M3 provides training in the form of documentation.
Q: How much does MiniMax M3 cost?
Pricing for MiniMax M3 starts at $0.30 per million input tokens.

MiniMax M3 Product Features

MiniMax M3 Verified User Reviews

Write a Review
  • A MiniMax M3 User
    AI Developer
    Used the software for: Less than 6 months
    Frequency of Use: Weekly
    User Role: User
    Company Size: 26 - 99
    Ease 4 out of 5 stars
    Features 4 out of 5 stars
    Pricing 5 out of 5 stars
    Probability You Would Recommend? 8 out of 10

    "MiniMax M3 review"

    5 out of 5 stars Posted 2026-08-12

    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.

    Overall: M3 feels like a serious model for developers who care about long context, coding, multimodal inputs, and agentic workflows. It is not just another chatbot model with coding pasted on top; it feels built for the kind of complex, context-heavy work modern AI agents actually need to do.

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