Ferret vs. MiniMax M3 Comparison


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About An End-to-End MLLM that Accept Any-Form Referring and Ground Anything in Response. Ferret Model - Hybrid Region Representation + Spatial-aware Visual Sampler enable fine-grained and open-vocabulary referring and grounding in MLLM. GRIT Dataset (~1.1M) - A Large-scale, Hierarchical, Robust ground-and-refer instruction tuning dataset. Ferret-Bench - A multimodal evaluation benchmark that jointly requires Referring/Grounding, Semantics, Knowledge, and Reasoning.	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 Not Supported Mac Not Supported Linux Not 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 AI and LLM developers	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 View more images or videos	Screenshots and Videos View more images or videos
Pricing Free Open source Free Version 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: Review this Software	Reviews/Ratings Overall 5.0 / 5 ease 4.0 / 5 features 4.0 / 5 Read all reviews
	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 Apple Founded: 1976 United States github.com/apple/ml-ferret	Company Information MiniMax Founded: 2021 Singapore www.minimax.io
Alternatives Qwen3.5-Omni Alibaba	Alternatives Gemini 4 Carbon Google
Reka	GPT-6.1 Terra OpenAI
LLaVA	GPT-6.1 Sol OpenAI
Qwen3.7-Plus Alibaba	MiniMax M3.1 Flash MiniMax
Llama 4 Maverick Meta View All	MiniMax MiniMax AI View All
Categories AI Models Supported Large Language Models Supported Multimodal Models Supported	Categories AI Coding Models Supported AI Models Supported AI Reasoning Models Supported Foundation Models Supported Large Language Models Supported Multimodal Models Supported Open-Weight AI Models Supported

Integrations APIFree Not Supported Alibaba AI Coding Plan Not Supported BLACKBOX AI Not Supported Claude Code Not Supported Clawd.run Not Supported Cline Not Supported ClinePass Not Supported Factory Droid Not Supported Fireworks AI Not Supported Hermes Agent Not Supported Kilo Code Not Supported MaxHermes Not Supported MiniMax Agent Not Supported Ollama Not Supported OpenClaw Not Supported OpenCode Go Not Supported OpenCode Zen Not Supported Pi Agent Not Supported Roo Code Not Supported Vision Agents Not Supported Show More Integrations	Integrations APIFree Supported Alibaba AI Coding Plan Supported BLACKBOX AI Supported Claude Code Supported Clawd.run Supported Cline Supported ClinePass Supported Factory Droid Supported Fireworks AI Supported Hermes Agent Supported Kilo Code Supported MaxHermes Supported MiniMax Agent Supported Ollama Supported OpenClaw Supported OpenCode Go Supported OpenCode Zen Supported Pi Agent Supported Roo Code Supported Vision Agents Supported Show More Integrations View All 25 Integrations
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