Ferret vs. MiMo-V2.6-Pro Comparison


Ferret Apple	MiMo-V2.6-Pro Xiaomi Technology	+	+
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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 MiMo-V2.6-Pro is Xiaomi MiMo’s most capable open-source omnimodal AI model, built for coding, general agent workflows, visual tasks, research, and multimodal creation. The model combines strong software engineering capabilities with computer use, 3D spatial reasoning, visual perception, and tool use for complex multi-step work. MiMo-V2.6-Pro can build interactive 3D environments, generate Blender models, create frontend interfaces and presentations, and coordinate agents to refine outputs through visual feedback. It also supports research workflows such as literature review, computational experimentation, materials discovery, and formal mathematical proof development. Xiaomi trained the model with large-scale reinforcement learning across coding, general agents, visual tasks, and cybersecurity environments and has open-sourced the technical report, training environments, and RL code.
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 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
Audience AI and LLM developers	Audience AI developers, software engineers, researchers, agent builders, designers, technical teams, and organizations that need an open-source multimodal model for coding, automation, visual creation, research, and complex tool-using 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 Free $0.435 per 1 million tokens input $0.87 per 1 million tokens output 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 features 5.0 / 5 Read all reviews
	Pros & Cons from Real Users Pros What impressed me most is how comfortable it feels with really large, messy tasks. The 1M-token context window is genuinely useful when I am working across a big repo, long documentation, research material, or an agent session with a lot of tool history. The multimodal support is another big win. Being able to feed it text, screenshots, video, and audio makes it useful for much more than coding alone. Xiaomi is clearly aiming for a model that can sit at the center of a full agent workflow instead of just answering prompts. I also like the pricing a lot. Xiaomi lists API pricing at $0.435 per million uncached input tokens and $0.87 per million output tokens, which is extremely aggressive for a model in this capability tier. Cons The main downside is that it can be more model than I need for simple tasks. For quick edits or lightweight automation, I would probably use MiMo-V2.6-Flash instead and save Pro for the harder 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 Xiaomi Technology Founded: 2010 China mimo.xiaomi.com
Alternatives Qwen3.5-Omni Alibaba	Alternatives Claude Fable 5.1 Anthropic
Reka	Claude Mythos 5.1 Anthropic
LLaVA	GPT-5.6 Sol OpenAI
Qwen3.7-Plus Alibaba	MiMo-V2.6-Flash Xiaomi Technology
MiniMax M3 MiniMax View All	MiMo-V2.6-Pro-UltraSpeed Xiaomi Technology 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 AI Vision Models Supported Foundation Models Supported Large Language Models Supported Multimodal Models Supported

Integrations BLACKBOX AI Not Supported Canopy Wave Not Supported Cline Not Supported ClinePass Not Supported Hermes Agent Not Supported Hugging Face Not Supported Kilo Code Not Supported OpenClaw Not Supported OpenCode Not Supported OpenRouter Not Supported Roo Code Not Supported Shiori Not Supported Vercel AI Gateway Not Supported Xiaomi MiMo Not Supported Xiaomi MiMo Desktop Not Supported Xiaomi MiMo Studio Not Supported Show More Integrations	Integrations BLACKBOX AI Supported Canopy Wave Supported Cline Supported ClinePass Supported Hermes Agent Supported Hugging Face Supported Kilo Code Supported OpenClaw Supported OpenCode Supported OpenRouter Supported Roo Code Supported Shiori Supported Vercel AI Gateway Supported Xiaomi MiMo Supported Xiaomi MiMo Desktop Supported Xiaomi MiMo Studio Supported Show More Integrations View All 16 Integrations
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