Skip to content
Deekoya AI

Best AI Tools for Real Estate & Interior in 2026

30 hand-ranked AI tools for real estate & interior, 7 with a free plan. AI tools for real estate & interior: Interior, Property, Agents.

Quick answer: the best AI tool for real estate & interior is Interior AI, followed by RoomGPT and Archify. Best free option: RoomGPT.

  1. 1

    Interior AI

    Real Estate & Interior

    Redesign rooms with AI

    Paid
  2. 2

    RoomGPT

    Real Estate & Interior

    Room redesign

    Freemium
  3. 3

    Archify

    Coding

    Turn any idea, plan, or codebase into a beautiful interactive diagram. An agent skill for Claude Code, Codex, and more.

    Free
  4. 4

    Next Ai Draw Io

    Coding

    Draw and edit draw.io diagrams by chatting with an AI. Web app, desktop app, and an MCP server for Claude Code, Cursor, Codex and VS Code.

    Free
  5. 5

    Gitdiagram

    Coding

    Visualize any GitHub codebase: free interactive architecture diagrams and one-minute explainer videos. Replace 'hub' with 'diagram' in any GitHub URL.

    Free
  6. 6

    How Claude Code Works

    Coding

    Deep dive into Claude Code internals — architecture, agent loop, context engineering, and more. / 深入解析 Claude Code 源码：架构、Agent 循环、上下文工程、工具系统等

    Free
  7. 7

    SAG

    Automation & Agents

    A new SOTA for RAG — an original retrieval architecture and an open-source knowledge base for humans and agents.

    Free
  8. 8

    Awesome Architecture

    Coding

    🧭 Architecture-first system design: 26 bilingual tutorials, 25 architecture templates, and 6 end-to-end cases covering distributed systems, AI-native systems, RAG, coding Agents, and production trade-offs.

    Free
  9. 9

    StepFun: Step 5 Preview

    AI APIs & LLMs

    Step 5 Preview is StepFun's flagship model for agentic work, built on a sparse Mixture-of-Experts architecture (27B active / 600B total parameters). It performs strongly in software engineering and pr Context: 1,000,000 tokens (OpenRouter, 2026-10-15).

    Paid
  10. 10

    Xiaomi: MiMo-V2.6-Flash

    AI APIs & LLMs

    MiMo-V2.6-Flash is an open-source foundation model developed by Xiaomi. Built on a Mixture-of-Experts architecture with 309B total parameters and 15B activated per token, it employs a hybrid attention Context: 1,050,000 tokens (OpenRouter, 2026-10-15).

    Paid
  11. 11

    DeepSeek: DeepSeek V4.1 Flash

    AI APIs & LLMs

    DeepSeek V4.1 Flash is a sparse mixture-of-experts model from DeepSeek, and the first built on the company's Causal Encoder-Decoder (CED) architecture. It activates 8B parameters on input and 16B on.. Context: 1,048,576 tokens (OpenRouter, 2026-10-15).

    Paid
  12. 12

    DeepSeek: DeepSeek V4.1 Flash (batch)

    AI APIs & LLMs

    DeepSeek V4.1 Flash is a sparse mixture-of-experts model from DeepSeek, and the first built on the company's Causal Encoder-Decoder (CED) architecture. It activates 8B parameters on input and 16B on.. Context: 1,048,576 tokens (OpenRouter, 2026-10-15).

    Paid
  13. 13

    Z.ai: GLM 5.3 Flash

    AI APIs & LLMs

    GLM-5.3-Flash is a native multimodal model from Z.ai. It is suited for efficient coding and long-horizon agent tasks. Its hybrid sparse and linear attention architecture maintains accurate long-contex Context: 1,048,576 tokens (OpenRouter, 2026-10-15).

    Paid
  14. 14

    Z.ai: GLM 5.3 Flash (batch)

    AI APIs & LLMs

    GLM-5.3-Flash is a native multimodal model from Z.ai. It is suited for efficient coding and long-horizon agent tasks. Its hybrid sparse and linear attention architecture maintains accurate long-contex Context: 1,048,576 tokens (OpenRouter, 2026-10-15).

    Paid
  15. 15

    Qwen: Qwen3.6 Plus

    AI APIs & LLMs

    Qwen 3.6 Plus builds on a hybrid architecture that combines efficient linear attention with sparse mixture-of-experts routing, enabling strong scalability and high-performance inference. Compared to t Context: 1,000,000 tokens (OpenRouter, 2026-10-15).

    Paid
  16. 16

    Qwen: Qwen3.5-9B

    AI APIs & LLMs

    Qwen3.5-9B is a multimodal foundation model from the Qwen3.5 family, designed to deliver strong reasoning, coding, and visual understanding in an efficient 9B-parameter architecture. It uses a unified Context: 262,144 tokens (OpenRouter, 2026-10-15).

    Paid
  17. 17

    OpenAI: GPT-5.4 Pro

    AI APIs & LLMs

    GPT-5.4 Pro is OpenAI's most advanced model, building on GPT-5.4's unified architecture with enhanced reasoning capabilities for complex, high-stakes tasks. It features a 1M+ token context window (922 Context: 1,050,000 tokens (OpenRouter, 2026-10-15).

    Paid
  18. 18

    OpenAI: GPT-5.4 Pro (batch)

    AI APIs & LLMs

    GPT-5.4 Pro is OpenAI's most advanced model, building on GPT-5.4's unified architecture with enhanced reasoning capabilities for complex, high-stakes tasks. It features a 1M+ token context window (922 Context: 1,050,000 tokens (OpenRouter, 2026-10-15).

    Paid
  19. 19

    Qwen: Qwen3.5-35B-A3B

    AI APIs & LLMs

    The Qwen3.5 Series 35B-A3B is a native vision-language model designed with a hybrid architecture that integrates linear attention mechanisms and a sparse mixture-of-experts model, achieving higher inf Context: 262,144 tokens (OpenRouter, 2026-10-15).

    Paid
  20. 20

    Qwen: Qwen3.5-122B-A10B

    AI APIs & LLMs

    The Qwen3.5 122B-A10B native vision-language model is built on a hybrid architecture that integrates a linear attention mechanism with a sparse mixture-of-experts model, achieving higher inference eff Context: 262,144 tokens (OpenRouter, 2026-10-15).

    Paid
  21. 21

    Qwen: Qwen3.5-Flash

    AI APIs & LLMs

    The Qwen3.5 native vision-language Flash models are built on a hybrid architecture that integrates a linear attention mechanism with a sparse mixture-of-experts model, achieving higher inference effic Context: 1,000,000 tokens (OpenRouter, 2026-10-15).

    Paid
  22. 22

    Qwen: Qwen3.5 Plus 2026-02-15

    AI APIs & LLMs

    The Qwen3.5 native vision-language series Plus models are built on a hybrid architecture that integrates linear attention mechanisms with sparse mixture-of-experts models, achieving higher inference e Context: 1,000,000 tokens (OpenRouter, 2026-10-15).

    Paid
  23. 23

    Qwen: Qwen3.5 397B A17B

    AI APIs & LLMs

    The Qwen3.5 series 397B-A17B native vision-language model is built on a hybrid architecture that integrates a linear attention mechanism with a sparse mixture-of-experts model, achieving higher infere Context: 262,144 tokens (OpenRouter, 2026-10-15).

    Paid
  24. 24

    StepFun: Step 3.5 Flash

    AI APIs & LLMs

    Step 3.5 Flash is StepFun's most capable open-source foundation model. Built on a sparse Mixture of Experts (MoE) architecture, it selectively activates only 11B of its 196B parameters per token.... Context: 262,144 tokens (OpenRouter, 2026-10-15).

    Paid
  25. 25

    Mistral: Mistral Large 3 2512

    AI APIs & LLMs

    Mistral Large 3 2512 is Mistral’s most capable model to date, featuring a sparse mixture-of-experts architecture with 41B active parameters (675B total), and released under the Apache 2.0 license. Context: 262,144 tokens (OpenRouter, 2026-10-15).

    Paid
  26. 26

    Mistral: Mistral Large 3 2512 (batch)

    AI APIs & LLMs

    Mistral Large 3 2512 is Mistral’s most capable model to date, featuring a sparse mixture-of-experts architecture with 41B active parameters (675B total), and released under the Apache 2.0 license. Context: 262,144 tokens (OpenRouter, 2026-10-15).

    Paid
  27. 27

    Z.ai: GLM 4.5V

    AI APIs & LLMs

    GLM-4.5V is a vision-language foundation model for multimodal agent applications. Built on a Mixture-of-Experts (MoE) architecture with 106B parameters and 12B activated parameters, it achieves state- Context: 65,536 tokens (OpenRouter, 2026-10-15).

    Paid
  28. 28

    OpenAI: gpt-oss-20b

    AI APIs & LLMs

    gpt-oss-20b is an open-weight 21B parameter model released by OpenAI under the Apache 2.0 license. It uses a Mixture-of-Experts (MoE) architecture with 3.6B active parameters per forward pass, optimiz Context: 131,072 tokens (OpenRouter, 2026-10-15).

    Paid
  29. 29

    OpenAI: gpt-oss-20b (batch)

    AI APIs & LLMs

    gpt-oss-20b is an open-weight 21B parameter model released by OpenAI under the Apache 2.0 license. It uses a Mixture-of-Experts (MoE) architecture with 3.6B active parameters per forward pass, optimiz Context: 131,072 tokens (OpenRouter, 2026-10-15).

    Paid
  30. 30

    Z.ai: GLM 4.5

    AI APIs & LLMs

    GLM-4.5 is our latest flagship foundation model, purpose-built for agent-based applications. It leverages a Mixture-of-Experts (MoE) architecture and supports a context length of up to 128k tokens. GL Context: 131,072 tokens (OpenRouter, 2026-10-15).

    Paid

See all Real Estate & Interior AI tools →

FAQ

What is the best AI tool for real estate & interior?

On Deekoya AI, the top-ranked tool for real estate & interior right now is Interior AI: Redesign rooms with AI. The best choice depends on your budget and workflow, so compare the top 5 below.

Are there free AI tools for real estate & interior?

Yes. RoomGPT, Archify, Next Ai Draw Io, Gitdiagram, How Claude Code Works are listed as free or freemium. Check each official site for current limits.

How are these AI tools ranked?

By Deekoya's quality score (listing completeness, verified source, official website) combined with public popularity signals such as GitHub stars and Hugging Face likes, with editor picks first. Rankings are not paid placements.

More “best AI tools for” guides