MiMo-V2.6-Pro vs. SWE-2 Flash Comparison


MiMo-V2.6-Pro Xiaomi Technology	SWE-2 Flash Cognition	+	+
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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.	About SWE-2 Flash is an AI coding model developed by Cognition to provide fast, cost-efficient software engineering capabilities for autonomous development agents. Built on Thinking Machines' Inkling-Small foundation model, it uses mid-training and reinforcement learning to improve coding performance, reasoning, and task execution. The model supports software development activities such as code generation, code reviews, feature development, documentation updates, and automated engineering workflows. SWE-2 Flash generates approximately 200 tokens per second, making it three times faster and five times less expensive than the larger SWE-2 model. Its 276-billion-parameter mixture-of-experts architecture activates approximately 12 billion parameters during inference to balance performance and computational efficiency. SWE-2 Flash is available through Devin Desktop and CLI, with Cognition also developing a secure model-weight sharing program for trusted research and enterprise partners.
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 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	Audience Software developers, AI coding assistant users, software engineering teams, DevOps professionals, autonomous agent developers, AI researchers, enterprise development organizations, and cybersecurity researchers seeking fast, cost-efficient AI coding, automated code reviews, feature implementation, software maintenance, technical reasoning, and agentic development workflows
Support Phone Support Not Supported 24/7 Live Support Not Supported Online Supported	Support Phone Support Not Supported 24/7 Live Support Not Supported Online Supported
API Offers API Supported	API Offers API Not Supported
Screenshots and Videos View more images or videos	Screenshots and Videos View more images or videos
Pricing Free $0.435 per 1 million tokens input $0.87 per 1 million tokens output Free Version Supported Free Trial Not Supported	Pricing $20/month Free Version Supported Free Trial Not Supported
Reviews/Ratings Overall 5.0 / 5 features 5.0 / 5 Read all reviews	Reviews/Ratings Overall 5.0 / 5 ease 5.0 / 5 features 5.0 / 5 design 5.0 / 5 support 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.	Pros & Cons from Real Users Pros This is the kind of model I would use all day for normal engineering work. It is fast enough that it does not feel like I am waiting on the model, but it is still strong enough for feature work, code review, docs, automations, and debugging. The speed is probably the biggest win. Cognition says it runs at around 200 tokens per second versus about 60 for SWE-2, and that difference matters a lot once an agent starts iterating through files and tools. The cost-performance balance is also really good. It is one-fifth the price of SWE-2, while scoring 45.5 on FrontierCode 1.1 Main, 60.1 on DeepSWE 1.1, and 89.9 on SWE-Bench Pro v2 Hard. Cons My main complaint is that it is not the model I would choose for the hardest repo-wide work. SWE-2 still has a noticeable edge on some tougher benchmarks, so I would move up when the task really needs it.
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 Xiaomi Technology Founded: 2010 China mimo.xiaomi.com	Company Information Cognition Founded: 2023 United States cognition.com
Alternatives Gemini 4 Carbon Google	Alternatives Gemini 4 Carbon Google
GPT-6.1 Terra OpenAI	GPT-6.1 Terra OpenAI
GPT-6.1 Sol OpenAI	GPT-6.1 Sol OpenAI
MiMo-V2.6-Flash Xiaomi Technology	Inkling Thinking Machines Lab
MiMo-V2.6-Pro-UltraSpeed Xiaomi Technology View All	Nemotron 3.5 Super VL NVIDIA View All
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 Open-Weight AI Models Supported	Categories AI Coding Models Supported AI Models Supported

Integrations BLACKBOX AI Supported C Not Supported C# Not Supported Cline Supported Dart Not Supported Devin Not Supported Hermes Agent Supported Hugging Face Supported JSON Not Supported JavaScript Not Supported Kotlin Not Supported OpenClaw Supported OpenCode Supported PHP Not Supported Roo Code Supported Ruby Not Supported Solidity Not Supported Vercel AI Gateway Supported XML Not Supported Xiaomi MiMo Studio Supported Show More Integrations View All 16 Integrations	Integrations BLACKBOX AI Not Supported C Supported C# Supported Cline Not Supported Dart Supported Devin Supported Hermes Agent Not Supported Hugging Face Not Supported JSON Supported JavaScript Supported Kotlin Supported OpenClaw Not Supported OpenCode Not Supported PHP Supported Roo Code Not Supported Ruby Supported Solidity Supported Vercel AI Gateway Not Supported XML Supported Xiaomi MiMo Studio Not Supported Show More Integrations View All 32 Integrations
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