HomieBench v5: the best AI for realtors isn’t one model.

The durable answer is a purpose-built realtor harness that can route work across models without replacing the agent's CRM, data, tools, permissions, or workflow. Inside that harness, HomieBench v5 projects Claude Fable 5 as the narrow overall quality leader at 97.6 out of 100, with nine models inside the benchmark's ±3-point uncertainty band. GLM-5.3 enters that group at a projected 96.6 after Z.ai reported stronger coding and long-horizon agent performance, but it remains quality-only in HomieBench until its API and token pricing are published. DeepSeek V4 Flash 0731 leads CRM and showing coordination quality and every modeled metered API-cost outcome. Qwen3.7-Max leads property intelligence and back-office deliverables, Kimi K3 leads prospecting, Claude Opus 5 shares the offer-writing lead, and GPT-5.6 Sol leads transactions, closings, and compliance.

It depends on the job. DeepSeek V4 Flash 0731 is the metered cost leader and the projected choice for high-volume CRM and showing coordination. Qwen3.7-Max is strongest on multimodal property files, document and office deliverables. Grok 4.6 is a low-list-price frontier route for long-running agents, research, and interactive work. GLM-5.3 is a promising pre-API long-horizon agent route available through the GLM Coding Plan, but it is not yet a production-priced HomieBench route. Kimi K3 remains excellent for prospecting and browser-heavy execution. Claude Fable 5 leads the weighted quality ranking and polished marketing and judgment, Claude Opus 5 is a strong high-stakes offer route at half Fable's token price, and GPT-5.6 Sol leads closings and compliance while fitting an existing ChatGPT workflow.

Most agents should not have to choose one lab forever. Homies keeps the realtor harness constant and routes each job: GPT-5.6 Sol is the practical all-round default and leads closings and compliance; DeepSeek V4 Flash 0731 is the metered automation cost route; Qwen3.7-Max handles multimodal property files and office deliverables; Grok 4.6 handles long-running agentic and interactive work; and Claude Fable 5 or Opus 5 handle premium judgment. GLM-5.3 is tracked as a pre-API contender, not a production default. OAuth can shift GPT-5.6's marginal model spend into an eligible existing ChatGPT allocation until plan limits; fixed plan fees, overage, and separate API billing still apply.

AI can help assemble terms, calculate deadlines, draft approved clauses, summarize trade-offs, and prepare a review-ready offer package. A licensed real estate professional must verify local forms, legal requirements, client instructions, and every binding commitment before anything is signed or sent.

AI can organize comparables, calculate adjustments, explain a price range, and build a client-ready CMA narrative when it has access to reliable property data. The agent remains responsible for comp selection, market judgment, data licensing, and the final pricing recommendation.

For expected automation on metered API pricing, DeepSeek V4 Flash 0731. CostBench separates model-only cost from browser-and-workflow execution and loaded human review. Showing bookings and MLS uploads include disclosed browser actions, runtime, workflow-specific first-pass completion, and retries rather than a pennies-only tool allowance. GPT-5.6 OAuth can remove marginal model-token spend inside an eligible existing plan, but it still carries browser execution, retry risk, and review. GLM-5.3 is excluded until Z.ai publishes its API token price. Fixed subscriptions, limits, overage, delivery, paid data, taxes, and human approval still matter.

CostBench exposes three layers. Model-only cost uses published token pricing and production-sized token assumptions. Expected automation adds workflow allowances, browser runtime, browser actions, workflow-specific first-pass completion, and retries. Loaded cost adds modeled human review at $60 per hour. Models without a comparable published API price, including GLM-5.3, are excluded. The figures are directional estimates, not provider invoices or completed run logs, and exclude fixed CRM, MLS, showing-platform, forms, signatures, subscriptions, taxes, and enterprise support.

Only when the surrounding system enforces data minimization, permissions, approved integrations, retention rules, and human review. Model quality alone does not create a compliant workflow. Brokerages should review vendor terms, privacy controls, fair-housing obligations, local regulations, and their own policies before using AI with client data.

The model is a replaceable reasoning engine. The harness is the durable toolbox around it: property and CRM context, memory, email and calendar access, document tools, calculators, permissions, workflow logic, and review gates. A chatbot mainly produces an answer; a capable harness can produce controlled, reviewable work and swap models without forcing the agent to rebuild the workflow.

No. Homies is designed as an API-connected, model-independent realtor harness. Supported models remain available behind the same tools and workflow, and Homies can route a job to the strongest model at the best practical cost. That separates industry infrastructure from the labs' own model-specific apps and harnesses, so a new frontier release does not require agents to migrate their business every week.

No. Homies is designed to work under agent review. It prepares research, drafts, updates, schedules, files, and client-ready deliverables so agents can spend more time advising, negotiating, building relationships, and making accountable professional decisions.