# ComfyOnline vs Salad

ComfyOnline records 19,465 monthly visits with -30.7% month-over-month growth and Freemium, Paid pricing. Salad records 713,519 monthly visits with +10.4% growth and Free Trial, Paid, Contact for Pricing pricing.

| Metric | [ComfyOnline](https://openaitools.app/tool/comfyonline) | [Salad](https://openaitools.app/tool/salad-gpu-cloud) |
| :--- | :--- | :--- |
| Website URL | https://www.comfyonline.app | https://salad.com |
| Categories | AI API, AI Developer Tools, AI Image Generator, AI Video Generator | AI Developer Tools, AI API, AI Transcription, Large Language Models (LLMs) |
| Pricing Model | Freemium, Paid | Free Trial, Paid, Contact for Pricing |
| Monthly Visits | 19,465 | 713,519 |
| MoM Growth Rate | -30.7% | +10.4% |
| Primary Market | United States | United States |
| Direct Visits | 7,798 | 440,915 |
| Review Score | 4.3 | 4.3 |
| Saved Count | 1 | 1 |
| Supported Platforms | Website | Website |

## ComfyOnline

ComfyOnline hosts ComfyUI — the popular node-based interface for diffusion models — in the browser. You build or import node graphs using the same custom-node ecosystem people run locally, but the heavy compute happens on cloud GPUs such as the RTX 4090, A6000, L40S, A100 and H100. Editing a workflow is free; you are only charged for the seconds a workflow actually runs, which matches the serverless model the team advertises.

The distinguishing piece is deployment. Instead of leaving a graph as a one-off experiment, ComfyOnline can automatically generate an API endpoint for it, so a workflow becomes a callable service you can wire into your own product. The platform also brokers third-party model providers inside the same canvas: video generation through Kling, Runway, Luma, Pika and Wan; image generation through Flux Pro Ultra, Ideogram and Recraft; speech through ElevenLabs; and chat/LLM calls to Claude, Gemini, GPT and DeepSeek. That makes it a single control panel for mixing open-source diffusion pipelines with commercial model APIs.

Pricing is credit-based rather than flat. Top-ups start around $10 and scale up, and monthly membership tiers (Personal, Startups, Business) add larger credit bundles, relax-mode queueing and customization including private LoRAs and models. Because generation cost depends on the GPU class and runtime, teams should treat the per-second credit rates as the main planning input.

**Pricing & Plans:** Freemium-style: editing workflows is free and you pay only for runtime. Pay-as-you-go credit packs start around $10 (with bonus credits), and monthly membership tiers such as Personal, Startups and Business unlock larger credit bundles, unlimited relax-mode queues and custom deployment options.

- **Cloud ComfyUI workspace:** Build and run node graphs in the browser on 4090, A6000, L40S, A100 or H100 GPUs, with the common custom-node packs preinstalled.
- **One-click API deployment:** Turn any workflow into an auto-generated API endpoint so it can be called from your own apps and services without writing the serving layer yourself.
- **Built-in model brokers:** Access Kling, Runway, Luma, Pika and Wan for video, Flux Pro Ultra, Ideogram and Recraft for images, ElevenLabs for voice, and Claude, Gemini, GPT and DeepSeek for text inside the same canvas.
- **Pay-per-second billing:** Editing costs nothing; you are billed only for the seconds a workflow executes, with idle GPUs never charged.
- **Private models and scaling:** Upload private checkpoints and LoRAs, and let deployments scale automatically when traffic grows.

**Strengths:** No local GPU needed; runs on high-end cloud cards; Workflow-to-API generation removes a big chunk of backend work; Wide list of third-party video, image, audio and LLM integrations; Transparent per-second credit pricing with no idle charges

**Limitations:** Credit-per-second math takes some effort to forecast real spend; Some advanced GPU tiers require specific plan upgrades; Documentation and enterprise terms are thinner than larger cloud vendors

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

## Salad

Salad attacks the cost of GPU compute from a different direction. Rather than financing new data-centre capacity, it coordinates supply that already exists: consumer GPUs sitting idle in PCs and workstations worldwide. Since 2018, more than 450,000 GPUs have contributed to the network, and it currently reports 16,000+ daily active GPUs spread across 190+ countries. Pricing starts around $0.015 per GPU-hour, which the company positions as up to 90% below hyperscaler rates.

The orchestration layer is the core product. Salad Container Engine schedules OCI/Docker containers onto nodes it has never seen before, verifies and isolates them behind a hypervisor, streams logs, and reallocates work the moment a node drops off the network — critical because interruptible consumer hardware leaves unpredictably. A proprietary trust rating scores node performance and availability, and priority pricing matches cheap interruptible supply to workloads designed to tolerate it. The same engine runs on Community Cloud, reserved Salad Dedicated hardware (RTX PRO 6000 Blackwell among the first), and on a Private Cloud inside your own organisation, where idle workstation GPUs are pooled into an OpenAI-compatible token service without company data leaving company devices.

Several managed products sit on top: an OpenAI-compatible AI Gateway for open-weight models, a Transcription API, and Gateway Service for residential IP tunnels. Published per-workload benchmarks back the marketing — for example 5,243 Flux.1-Schnell images per dollar, 95.1% CommonVoice accuracy from $0.16 per audio hour, and flat hourly GPU rates or per-token pricing from $0.06 per million input tokens for LLM inference. Production users include Civitai, Blend, Klyne.ai, Undetectable AI, Pareto and Datasembly.

**Pricing & Plans:** Pay-as-you-go with no contracts or minimums on SaladCloud: per-second billing on containers and per-token pricing on the AI Gateway, with GPU rates starting around $0.015 per GPU-hour and tiered volume discounts. Reserved capacity and enterprise contracts are available through Salad Dedicated and Private Cloud, quoted on request.

- **Salad Container Engine:** Schedules, monitors and reallocates Docker/OCI workloads across thousands of distributed GPU nodes, with failover when nodes disappear.
- **Community Cloud GPU pool:** On-demand access to a distributed pool of idle consumer GPUs across 190+ countries with priority pricing from about $0.015 per GPU-hour.
- **OpenAI-compatible AI Gateway:** A managed token endpoint for open-weight models priced per token, with your data never used for training.
- **Private Cloud on your hardware:** Run the same orchestration stack inside your organisation, pooling idle workstation GPUs into an internal OpenAI-compatible service.
- **Workload-tuned APIs:** Managed services including a Transcription API and virtual kubelet support for scheduling Kubernetes pods onto the network.

**Strengths:** Structurally low pricing — GPU rates start near $0.015 per GPU-hour; One orchestration layer spans on-demand, reserved and private infrastructure; Handles interruption natively, which matters on consumer hardware; OpenAI-compatible endpoints simplify migration from other providers

**Limitations:** Interruptible consumer nodes are not suited to latency-critical or always-on workloads as-is; Distributed hardware varies more in performance than uniform data-centre racks; No conventional free tier — costs scale directly with usage

[Profile (Markdown)](https://openaitools.app/tool/salad-gpu-cloud.md)

## Frequently Asked Questions

### How do ComfyOnline and Salad compare in monthly traffic?

ComfyOnline has 19,465 monthly visits, while Salad has 713,519. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

ComfyOnline has a month-over-month growth rate of -30.7%; Salad has +10.4%.

### How does pricing compare?

ComfyOnline: Freemium, Paid. Freemium-style: editing workflows is free and you pay only for runtime. Pay-as-you-go credit packs start around $10 (with bonus credits), and monthly membership tiers such as Personal, Startups and Business unlock larger credit bundles, unlimited relax-mode queues and custom deployment options. Salad: Free Trial, Paid, Contact for Pricing. Pay-as-you-go with no contracts or minimums on SaladCloud: per-second billing on containers and per-token pricing on the AI Gateway, with GPU rates starting around $0.015 per GPU-hour and tiered volume discounts. Reserved capacity and enterprise contracts are available through Salad Dedicated and Private Cloud, quoted on request.

## Alternatives

| # | Tool Name | Monthly Visits | MoM Growth Rate | Pricing Model | Summary | Profile (Markdown) |
| :--- | :--- | :--- | :--- | :--- | :--- | :--- |
| 1 | [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) |
| 2 | [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) |
| 3 | [RunPod](https://openaitools.app/tool/runpod) | 2,881,043 | +5.9% | Paid | Offers reliable dedicated and serverless GPU rentals, but lacks Salad's ultra-low-cost peer-to-peer consumer hardware pool. | [.md](https://openaitools.app/tool/runpod.md) |
| 4 | [Together AI](https://openaitools.app/tool/together-ai) | 1,645,930 | +64.9% | Freemium, Paid | Specializes in managed serverless inference APIs for open-source models, rather than raw GPU infrastructure rentals. | [.md](https://openaitools.app/tool/together-ai.md) |
| 5 | [Vast.ai](https://openaitools.app/tool/vast-ai) | 1,257,554 | +2.8% | Paid | Provides an extensive peer-to-peer GPU marketplace with lower prices, but requires more manual configuration. | [.md](https://openaitools.app/tool/vast-ai.md) |
| 6 | [Modal](https://openaitools.app/tool/modal-com) | 1,196,021 | +30.2% | Freemium, Contact for Pricing | Delivers effortless Python serverless execution for AI pipelines, but focuses on function-as-a-service rather than raw VMs. | [.md](https://openaitools.app/tool/modal-com.md) |
| 7 | [Nebius](https://openaitools.app/tool/nebius) | 1,145,711 | +10.7% | Paid, Contact for Pricing | Supplies enterprise-grade NVIDIA GPU clusters and managed ML tooling, but at a higher professional price point. | [.md](https://openaitools.app/tool/nebius.md) |
| 8 | [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) |
| 9 | [DeepInfra](https://openaitools.app/tool/deep-infra) | 457,810 | -8.9% | Paid | Offers extremely cheap serverless model hosting via API, but does not provide raw containerized GPU instances. | [.md](https://openaitools.app/tool/deep-infra.md) |
| 10 | [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) |

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Source: https://openaitools.app/compare/comfyonline-vs-salad-gpu-cloud

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