FLUX.2

FLUX.2

Black Forest Labs
MiniMax M3

MiniMax M3

MiniMax
+
+

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About

FLUX.2 is built for real production workflows, delivering high-quality visuals while maintaining character, product, and style consistency across multiple reference images. It handles structured prompts, brand-safe layouts, complex text rendering, and detailed logos with precision. The model supports multi-reference inputs, editing at up to 4 megapixels, and generates both photorealistic scenes and highly stylized compositions. With a focus on reliability, FLUX.2 processes real-world creative tasks—such as infographics, product shots, and UI mockups—with exceptional stability. It represents Black Forest Labs’ open-core approach, pairing frontier-level capability with open-weight models that invite experimentation. Across its variants, FLUX.2 provides flexible options for studios, developers, and researchers who need scalable, customizable visual intelligence.

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 Supported
Mac Supported
Linux Supported
Cloud Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Platforms Supported

Windows Supported
Mac Supported
Linux Supported
Cloud Supported
On-Premises Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Audience

FLUX.2 is ideal for creative teams, developers, researchers, and enterprises that need a highly controllable, production-ready visual intelligence model with frontier-level qualit

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 Not Supported
24/7 Live Support Not Supported
Online Not Supported

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Supported

API

Offers API Not Supported

API

Offers API Supported

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version Not Supported
Free Trial Not Supported

Pricing

$0.30 per million input tokens
$0.30 per million input tokens and $1.20 per million output tokens
Free Version Supported
Free Trial Not Supported

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:

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Reviews/Ratings

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

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 Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported

Training

Documentation Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported

Company Information

Black Forest Labs
Founded: 2024
Germany
bfl.ai/blog/flux-2

Company Information

MiniMax
Founded: 2021
Singapore
www.minimax.io

Alternatives

Alternatives

FLUX 3

FLUX 3

Black Forest Labs
FLUX.2 [max]

FLUX.2 [max]

Black Forest Labs
FLUX.1

FLUX.1

Black Forest Labs
MiniMax

MiniMax

MiniMax AI

Categories

AI Art Generators Supported
AI Image Models Supported
AI Models Supported

Categories

Integrations

APIFree Supported
OpenClaw Supported
ChatLabs Supported
Clawd.run Not Supported
Eromify Supported
FLUX Upscale Supported
FLUX.2 [klein] Supported
FLUX.2 [max] Supported
FancyMe Supported
Fireworks AI Not Supported
Hermes Agent Not Supported
Higgsfield Soul 2.0 Supported
Magnific Supported
MiniMax Mavis Not Supported
Model Playground Supported
OpenTag Not Supported
Pi Agent Not Supported
SiliconFlow Supported
Vision Agents Not Supported
fal Supported

Integrations

APIFree Supported
OpenClaw Supported
ChatLabs Not Supported
Clawd.run Supported
Eromify Not Supported
FLUX Upscale Not Supported
FLUX.2 [klein] Not Supported
FLUX.2 [max] Not Supported
FancyMe Not Supported
Fireworks AI Supported
Hermes Agent Supported
Higgsfield Soul 2.0 Not Supported
Magnific Not Supported
MiniMax Mavis Supported
Model Playground Not Supported
OpenTag Supported
Pi Agent Supported
SiliconFlow Not Supported
Vision Agents Supported
fal Not Supported
Claim FLUX.2 and update features and information
Claim FLUX.2 and update features and information
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Claim MiniMax M3 and update features and information