# ComfyDeploy vs Inquir Compute

ComfyDeploy records 9,609 monthly visits with -48.2% month-over-month growth and Contact for Pricing pricing. Inquir Compute records 769 monthly visits with -59.1% growth and Freemium pricing.

| Metric | [ComfyDeploy](https://openaitools.app/tool/comfy-deploy) | [Inquir Compute](https://openaitools.app/tool/inquir) |
| :--- | :--- | :--- |
| Website URL | https://www.comfydeploy.com | https://inquir.org |
| Categories | AI API, AI Image Generator, AI Workflow | AI Search Engine, AI Chatbot, AI API, No-Code&Low-Code |
| Pricing Model | Contact for Pricing | Freemium |
| Monthly Visits | 9,609 | 769 |
| MoM Growth Rate | -48.2% | -59.1% |
| Primary Market | United States | Global |
| Direct Visits | 3,788 | 305 |
| Review Score | 4.3 | 3.8 |
| Saved Count | 0 | 1 |
| Supported Platforms | Website | Website |

## ComfyDeploy

ComfyDeploy takes the ComfyUI node graph that a creative technologist builds on a laptop and gives it everything it needs to survive in a team and in production. A shared workspace runs identical environments on dedicated cloud GPUs, so any custom node or model installed once is instantly available to everyone, and workflow version history makes it safe to iterate or roll back. Instead of copying JSON files around, teammates open a link and get the exact same environment.

The Playground is where non-technical collaborators come in. By marking certain nodes as inputs and outputs, you get a clean auto-generated interface with sliders, text fields and image uploads — artists, designers and product managers can run even heavy Flux, Qwen-Image or Wan video workflows without ever touching a node. That same workflow definition can then be published as an API endpoint.

The API layer is the production half. Each deployment becomes a versioned endpoint with staged environments from development through staging to production, private S3 integration for real input images, cold-start caching, and GPU capacity that scales with traffic and back down to zero when idle. A JavaScript/Python SDK triggers runs and waits for outputs, so applications can call the workflow like any other service. Pricing is plan-based and quoted on the site after sign-in; contact the team for team and enterprise details.

**Pricing & Plans:** Plan-based with a free tier to get started; team and enterprise plans are arranged through the ComfyDeploy team (contact for pricing).

- **Shared cloud ComfyUI workspace:** Run ComfyUI on dedicated B200, H200, H100, A100 and RTX-class GPUs with any custom node or model pre-installed once for the whole team.
- **Auto-generated Playground UI:** Expose workflow inputs and outputs to get a clean interface with sliders, text fields and image uploads that non-technical teammates can use.
- **One-click production APIs:** Publish any workflow as a versioned, auto-scaling endpoint with dev, staging and production environments and SDK access.
- **Versioning and rollback:** Complete workflow version history lets teams iterate safely and restore a known-good graph in one click.
- **Built-in observability and templates:** Trace deployments and runs, and start from dozens of free ready-made templates for Flux, Qwen-Image and Wan video workflows.

**Strengths:** Removes the GPU setup and dependency-management work that usually blocks ComfyUI from reaching production.; Non-technical stakeholders get a usable interface without learning the node graph.; Workflow versioning and staged environments make changes reversible and reviewable.; Scales to zero when idle and auto-scales under load, so parallel team generation stops being a queue problem.

**Limitations:** Priced for teams and production workloads, so hobbyist users may find it heavier and costlier than a local install.; Cloud deployment means uploading workflows and assets to a third-party platform rather than keeping everything on your own machine.; Full value depends on some familiarity with ComfyUI concepts such as custom nodes and input/output binding.

[Profile (Markdown)](https://openaitools.app/tool/comfy-deploy.md)

## Inquir Compute

Inquir Compute is a cloud platform for running applications, positioned as an alternative to platforms like Railway, Render, Fly.io, Vercel Functions and AWS Lambda. The workflow follows a pattern developers already know: connect a repository or container image, let the platform build it, then promote the release to production. It also keeps the previous release around as a reserve for quick rollbacks.

What distinguishes it is how much it packs into a single project. Container apps, serverless functions, scheduled pipelines, background workers and databases all live side by side, connected over a private network rather than the public internet. You can provision PostgreSQL with pgvector for embeddings, Redis for caching, and MongoDB or MySQL as needed, and wire them to your services without external exposure. Observability panels cover memory, CPU, request latency and network egress so you can spot a service nearing its limits and add replicas.

Access is flexible: a web console with an integrated editor, an Inquir CLI for deploying functions and containers from the terminal, and MCP-based deployment from AI coding tools like Claude Code, Cursor and Codex. The platform is priced in roubles with a 14-day free trial, Simple and Pro subscription tiers, and an Enterprise/on-premise option for organizations that need it in their own infrastructure.

**Pricing & Plans:** Paid with a free trial. A 14-day free trial is available without a card (once per account). Simple is 590 roubles/month and Pro is 2,490 roubles/month (yearly billing gives two months free), while Enterprise/On-Premise is a custom quote. Prices are in roubles and payment is handled through the platform's payment provider.

- **Dockerfile and container deploys:** Deploy from a Dockerfile or container image; Inquir builds the image, cuts a release and switches traffic when readiness checks pass.
- **Private networking:** Bring apps, functions and databases into one project and let them talk over an internal network instead of the public internet.
- **Serverless functions and pipelines:** Run synchronous and asynchronous functions, scheduled jobs and pipelines with run history, including background processing for web apps.
- **Managed databases:** Provision PostgreSQL (with pgvector), Redis, MongoDB and MySQL alongside your services, complete with persistent volumes.
- **Observability and scaling:** Watch memory, CPU, network and latency, then add replicas when an app approaches its limits.
- **CLI, IDE and API access:** Deploy from the web console, the Inquir CLI or AI coding agents over MCP, with custom domains and API key auth for serverless functions.

**Strengths:** Apps, functions, pipelines and databases managed together in one project with private networking; Deploy from Dockerfile or container image, with rollback to the previous release; Managed PostgreSQL with pgvector, Redis, MongoDB and MySQL included; Observability and replica scaling built in, plus CLI and MCP-based deployment

**Limitations:** Interface and pricing are currently oriented toward Russian-speaking users and local payment methods; Public prices are in roubles and card payments were rolling out gradually at the time of review; Less aimed at casual/free users, since the free tier is a 14-day trial rather than a permanent plan; Managed hosting means less low-level control than running your own servers

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

## Frequently Asked Questions

### How do ComfyDeploy and Inquir Compute compare in monthly traffic?

ComfyDeploy has 9,609 monthly visits, while Inquir Compute has 769. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

ComfyDeploy has a month-over-month growth rate of -48.2%; Inquir Compute has -59.1%.

### How does pricing compare?

ComfyDeploy: Contact for Pricing. Plan-based with a free tier to get started; team and enterprise plans are arranged through the ComfyDeploy team (contact for pricing). Inquir Compute: Freemium. Paid with a free trial. A 14-day free trial is available without a card (once per account). Simple is 590 roubles/month and Pro is 2,490 roubles/month (yearly billing gives two months free), while Enterprise/On-Premise is a custom quote. Prices are in roubles and payment is handled through the platform's payment provider.

## Alternatives

| # | Tool Name | Monthly Visits | MoM Growth Rate | Pricing Model | Summary | Profile (Markdown) |
| :--- | :--- | :--- | :--- | :--- | :--- | :--- |
| 1 | [OpenAI Platform](https://openaitools.app/tool/openai) | 234,678,639 | -9.6% | Paid | Enterprise developer platform and API for deploying GPT-6 Astra, Sol, Luna, and realtime multimodal agents. | [.md](https://openaitools.app/tool/openai.md) |
| 2 | [fal.ai](https://openaitools.app/tool/fal-ai) | 3,093,684 | -3.7% | Paid, pay-as-you-go usage-based pricing | One API for 1,500+ production-ready generative media models | [.md](https://openaitools.app/tool/fal-ai.md) |
| 3 | [BytePlus](https://openaitools.app/tool/byteplus) | 3,036,127 | -30% | Freemium, Paid | AI-native cloud for building and scaling enterprise AI | [.md](https://openaitools.app/tool/byteplus.md) |
| 4 | [RunPod](https://openaitools.app/tool/runpod) | 2,881,043 | +5.9% | Paid | The AI developer cloud for GPU pods, serverless inference and clustering | [.md](https://openaitools.app/tool/runpod.md) |
| 5 | [Together AI](https://openaitools.app/tool/together-ai) | 1,645,930 | +64.9% | Freemium, Paid | Together AI is the AI Native Cloud — a full-stack platform for running, fine-tuning and training open-source models. It spans serverless inference APIs, dedicated endpoints, GPU clusters, post-training and storage, all b | [.md](https://openaitools.app/tool/together-ai.md) |
| 6 | [Modal](https://openaitools.app/tool/modal-com) | 1,196,021 | +30.2% | Freemium, Contact for Pricing | Serverless cloud infrastructure for AI and data workloads | [.md](https://openaitools.app/tool/modal-com.md) |
| 7 | [Replicate AI](https://openaitools.app/tool/replicate-ai) | 904,038 | -8.4% | Paid | Run, fine-tune, and deploy machine learning models with one line of code | [.md](https://openaitools.app/tool/replicate-ai.md) |
| 8 | [RunComfy — Cloud ComfyUI with Fast GPUs & Serverless API](https://openaitools.app/tool/runcomfy) | 364,336 | -8.6% | Contact for Pricing | Run native ComfyUI in the cloud with zero setup, fast GPUs, and one-click serverless APIs | [.md](https://openaitools.app/tool/runcomfy.md) |
| 9 | [Zeabur](https://openaitools.app/tool/zeabur) | 275,642 | -15.9% | Free Trial, Paid | AI DevOps engineer that deploys and scales your apps | [.md](https://openaitools.app/tool/zeabur.md) |
| 10 | [Lightning AI](https://openaitools.app/tool/lightning-ai) | 272,562 | -12.3% | Freemium, Paid, Contact for Pricing | The AI cloud built by the creators of PyTorch Lightning | [.md](https://openaitools.app/tool/lightning-ai.md) |

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Source: https://openaitools.app/compare/comfy-deploy-vs-inquir

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