# Realyst vs Replicate AI

Realyst records 0 monthly visits with — month-over-month growth and Free Trial pricing. Replicate AI records 904,038 monthly visits with -8.4% growth and Paid pricing.

| Metric | [Realyst](https://openaitools.app/tool/realyst) | [Replicate AI](https://openaitools.app/tool/replicate-ai) |
| :--- | :--- | :--- |
| Website URL | https://chrome.google.com/webstore/detail/realyst-single-family-inv/ofkklmgigbjmjmlgdcahokigbpginkgn | https://replicate.com |
| Categories | AI Real Estate, AI Investing, AI For Finance, AI Report Generator | AI API, AI Models, AI Developer Tools, Open Source AI Models |
| Pricing Model | Free Trial | Paid |
| Monthly Visits | 0 | 904,038 |
| MoM Growth Rate | — | -8.4% |
| Primary Market | Global | United States |
| Direct Visits | 0 | 577,501 |
| Review Score | 3.8 | 4.6 |
| Saved Count | 4 | 5 |
| Supported Platforms | Browser Extension | Website |

## Realyst

Realyst is a browser extension built for people who evaluate single-family homes and want the numbers without leaving the listing page. Once installed, it adds its own analysis layer on top of Zillow.com, so a normal property page also shows a running model of what that home would look like as a rental: rent assumptions, mortgage terms, vacancy allowance, renovation estimates and the resulting return metrics. The pitch is speed — investors and realtors can screen listings far faster than rebuilding a spreadsheet for every address.

The extension leans on a configurable financial model rather than a single canned output. You adjust inputs such as expected rental rate, mortgage rate, vacancy rate and renovation budget, and the cash-on-cash return and ROI figures update to match your assumptions. A neighbourhood comparison view can line up the profitability of up to 80 nearby properties at once, which makes it easier to spot the outliers in a subdivision before scheduling showings. Results can be saved and exported to CSV or PDF for later review or sharing with a partner or client.

Realyst also layers in AI assistance: five GPT-4 powered prompts cover things like renovation estimates and neighbourhood market trends, and homeowners and buyers get a plain-language PDF summary with nearby comparables plus property, neighbourhood and demographic context. A two-day free trial is offered through in-app purchase, and the extension is distributed on the Chrome Web Store.

**Pricing & Plans:** Free two-day trial via in-app purchase; continued use requires a paid subscription (pricing shown in-app).

- **Adjustable financial model:** Tune rental rate, mortgage rate, vacancy rate and renovation estimates to see how each assumption moves cash-on-cash return and ROI.
- **Neighbourhood-level comparison:** Compare the projected profitability of up to 80 nearby single-family properties in a single click to spot the strongest candidates fast.
- **GPT-4 powered insight prompts:** Five built-in AI prompts generate quick takes on renovation costs, market trends and other decision inputs that are awkward to look up manually.
- **Export and reporting:** Save results and export to CSV or PDF, and generate a homeowner/buyer summary that includes comps, neighbourhood and demographic context.
- **Zillow-native workflow:** Everything runs on the listing page you are already viewing, so there is no separate app to open or address to re-enter.

**Strengths:** Analysis appears directly on Zillow, so screening requires almost no extra steps; Inputs such as rent, vacancy and mortgage rate are editable instead of fixed; Neighbourhood comparison over many properties speeds up shortlisting; Exports to CSV and PDF make results easy to share or archive

**Limitations:** Only works on Zillow listings for single-family homes; Insight quality on any given address depends on Zillow's underlying data; Free trial is short and pricing must be checked inside the extension

[Profile (Markdown)](https://openaitools.app/tool/realyst.md)

## Replicate AI

Replicate's core pitch is a uniform interface over thousands of models. Models range from image generators such as FLUX, GPT Image, Nano Banana, Seedream, and Recraft, to video models from MiniMax, ByteDance, xAI, and Alibaba, plus speech, music, captioning, image restoration, and large language models. Each model page exposes concrete inputs, versioned releases, and cost estimates, and you call them the same way regardless of the underlying framework. The catalog blends community-contributed open-source models with officially maintained proprietary ones, and the company positions every listed model as actually working with a production-ready API rather than a demo.

Beyond running hosted models, Replicate is a deployment and training layer. Cog, the project's open-source packaging tool, converts a model into a container with a generated HTTP API, so your own weights can be served from the same interface. Public models run on shared infrastructure and you pay only for processing time, while private models run on dedicated hardware and are billed for the full time instances are online — setup, idle, and active — with an exception for fast-booting fine-tunes that only bill when processing. Automatic scaling handles traffic spikes without manual capacity planning.

Pricing is strictly consumption-based. Public models are usually billed per second of runtime according to the hardware selected, with some billed per input and output instead; published examples include Flux 1.1 Pro at $0.04 per output image and DeepSeek R1 at $3.75 per million input tokens. Hardware rates are public too, from a T4 at roughly $0.81 per hour up to eight H100s at about $43.92 per hour. You can start free, and enterprise contracts unlock additional multi-GPU A100, H100, and H200 capacity.

**Pricing & Plans:** Paid, usage-based — you only pay for what you use. Most public models are billed by runtime at per-second hardware rates; some models are billed per input and output (for example, $0.04 per output image on Flux 1.1 Pro, $3.75 per million input tokens on DeepSeek R1). Published GPU hardware ranges from about $0.81/hr for a T4 up to roughly $43.92/hr for 8x H100. Private deployments bill for setup, idle, and active time on dedicated hardware, and you can start for free. Enterprise and volume discounts available.

- **Thousands of models behind one API:** Run image, video, audio, speech, and language models through a uniform API surface, with official models for FLUX, Nano Banana, Seedream, Grok Imagine, MiniMax, Wan, Seedance, and more.
- **One-line-of-code inference:** Set up a model in minutes and make an API call in Python, Node, or plain HTTP after authenticating with an API token.
- **Cog packaging and custom deployments:** Package your own model with Cog, an open-source tool for packaging machine learning models, and deploy it on dedicated hardware that scales up and down with demand.
- **Model fine-tuning:** Fine-tune models on your own data, including fast-booting fine-tunes that are billed only while actively processing requests rather than for idle time.
- **Published hardware and inference rates:** Transparent per-second hardware rates across CPU, T4, L40S, A100, H100, and H200 configurations, with committed-spend options for multi-GPU capacity.

**Strengths:** Very broad model catalog spanning image, video, audio, speech, and LLMs behind one consistent API; Usage-based billing with openly published per-second hardware and per-output model rates; Cog makes it straightforward to package and deploy your own private models; Automatic scaling handles traffic spikes without manual capacity planning

**Limitations:** Costs are consumption-based and can rise quickly with heavy traffic or always-on private deployments; Private models bill for idle and setup time, not just request processing, unless they are fast-booting fine-tunes; Long-running GPU models can queue on shared public capacity during peak periods; It is an infrastructure layer, so you still need your own prompts, pipelines, and application code

[Profile (Markdown)](https://openaitools.app/tool/replicate-ai.md)

## Frequently Asked Questions

### How do Realyst and Replicate AI compare in monthly traffic?

Realyst has 0 monthly visits, while Replicate AI has 904,038. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

Realyst has a month-over-month growth rate of —; Replicate AI has -8.4%.

### How does pricing compare?

Realyst: Free Trial. Free two-day trial via in-app purchase; continued use requires a paid subscription (pricing shown in-app). Replicate AI: Paid. Paid, usage-based — you only pay for what you use. Most public models are billed by runtime at per-second hardware rates; some models are billed per input and output (for example, $0.04 per output image on Flux 1.1 Pro, $3.75 per million input tokens on DeepSeek R1). Published GPU hardware ranges from about $0.81/hr for a T4 up to roughly $43.92/hr for 8x H100. Private deployments bill for setup, idle, and active time on dedicated hardware, and you can start for free. Enterprise and volume discounts available.

## Alternatives

| # | Tool Name | Monthly Visits | MoM Growth Rate | Pricing Model | Summary | Profile (Markdown) |
| :--- | :--- | :--- | :--- | :--- | :--- | :--- |
| 1 | [OpenRouter](https://openaitools.app/tool/openrouter-ai) | 19,941,437 | -6.2% | Paid | Excels at routing text and multimodal prompts across various providers, but lacks Replicate's dedicated custom ML deployment. | [.md](https://openaitools.app/tool/openrouter-ai.md) |
| 2 | [fal.ai](https://openaitools.app/tool/fal-ai) | 3,093,684 | -3.7% | Paid, pay-as-you-go usage-based pricing | Faster serverless execution for image and video models, but less generalized custom model deployment than Replicate. | [.md](https://openaitools.app/tool/fal-ai.md) |
| 3 | [Together AI](https://openaitools.app/tool/together-ai) | 1,645,930 | +64.9% | Freemium, Paid | Stronger focus on LLM inference and fine-tuning, but lacks Replicate's diverse community-curated media model catalog. | [.md](https://openaitools.app/tool/together-ai.md) |
| 4 | [Unsloth AI](https://openaitools.app/tool/unsloth-ai) | 887,457 | -17.6% | Free | Specializes specifically in ultra-efficient model fine-tuning, rather than providing a general-purpose model hosting API. | [.md](https://openaitools.app/tool/unsloth-ai.md) |
| 5 | [Atlas Cloud](https://openaitools.app/tool/atlas-cloud) | 777,031 | -16.4% | Paid | Offers a broad mix of generative media models via API, but lacks Replicate's massive community deployment ecosystem. | [.md](https://openaitools.app/tool/atlas-cloud.md) |
| 6 | [Fireworks](https://openaitools.app/tool/fireworks-ai) | 659,687 | +6% | Contact for Pricing | Delivers exceptionally fast inference speeds for open models, but has a narrower model selection than Replicate. | [.md](https://openaitools.app/tool/fireworks-ai.md) |
| 7 | [DeepInfra](https://openaitools.app/tool/deep-infra) | 457,810 | -8.9% | Paid | Significantly cheaper pricing for running open-weight models, but offers fewer advanced custom training and deployment features. | [.md](https://openaitools.app/tool/deep-infra.md) |
| 8 | [Pollinations](https://openaitools.app/tool/pollinations) | 316,875 | +22.8% | Free | Open infrastructure and one API for generative AI builders | [.md](https://openaitools.app/tool/pollinations.md) |
| 9 | [Novita AI](https://openaitools.app/tool/novita-ai) | 271,371 | -10.4% | Paid | Provides affordable serverless GPU execution and diverse model APIs, but with a less polished developer ecosystem. | [.md](https://openaitools.app/tool/novita-ai.md) |
| 10 | [Chutes](https://openaitools.app/tool/chutes) | 250,187 | -15.2% | Paid | Serverless, decentralized inference for open-source AI models | [.md](https://openaitools.app/tool/chutes.md) |

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Source: https://openaitools.app/compare/realyst-vs-replicate-ai

More Markdown: [Categories](https://openaitools.app/categories.md) · [Traffic rankings](https://openaitools.app/rankings.md) · [llms.txt](https://openaitools.app/llms.txt)