# FluidStack vs Runway

FluidStack records 154,620 monthly visits with +7.3% month-over-month growth and Paid, Contact for Pricing pricing. Runway records 7,498,396 monthly visits with +16.9% growth and Freemium, Paid, Contact for Pricing pricing.

| Metric | [FluidStack](https://openaitools.app/tool/fluidstack) | [Runway](https://openaitools.app/tool/runwayml) |
| :--- | :--- | :--- |
| Website URL | https://fluidstack.io | https://runwayml.com |
| Categories | AI Developer Tools, AI Models, Large Language Models (LLMs) | AI Video Generator, Text to Video, AI Models, AI API |
| Pricing Model | Paid, Contact for Pricing | Freemium, Paid, Contact for Pricing |
| Monthly Visits | 154,620 | 7,498,396 |
| MoM Growth Rate | +7.3% | +16.9% |
| Primary Market | United States | United States |
| Direct Visits | 47,869 | 3,252,549 |
| Review Score | 4.4 | 4.6 |
| Saved Count | 1 | 47 |
| Supported Platforms | Website | Website |

## FluidStack

FluidStack is an AI compute provider that builds the physical layer underneath frontier model work: data centers, power, cooling and very large GPU clusters. Its public positioning is deliberately infrastructural rather than product-led — it describes building gigawatt-scale compute, bringing new sites online in months, and operating tens of millions of accelerators reliably. For teams training or serving large models, that translates into reserved, single-tenant-class capacity that is provisioned and operated for you rather than an instant, self-serve VM catalogue.

A distinguishing theme is the pairing of power and compute. FluidStack writes about redesigning compute and power infrastructure from first principles, developing off-grid solar to supply clusters, and using closed-loop cooling that fills tanks once and recirculates water indefinitely. It also emphasises building in the United States with onshored manufacturing, framing infrastructure ownership as a strategic question about which values shape the technology being built. For AI organisations, these are increasingly relevant because energy availability, not chip supply alone, is the binding constraint on scaling.

If you need a small number of GPUs for a day, FluidStack is probably not the fastest route; capacity is engaged at enterprise scale through a sales process. If you are planning a multi-month training run or a production inference fleet and want dedicated, purpose-built infrastructure with managed operations, it is a strong candidate to evaluate alongside the major hyperscalers and specialised GPU clouds.

**Pricing & Plans:** Enterprise and contact-for-pricing. FluidStack does not publish per-GPU-hour rates or a self-serve sign-up on its website; capacity is scoped and quoted through a direct sales conversation based on cluster size, duration and hardware. Catalogue listings classify it as a paid product requiring contact for pricing.

- **Datacenter-scale compute built in-house:** FluidStack designs and builds large AI data centers, including high-density campuses with significant per-site power capacity, rather than reselling capacity from other clouds.
- **GPU clusters for training and inference:** Clusters are architected for large-scale model training and inference, with high-bandwidth interconnect and orchestration suitable for distributed workloads.
- **Power and cooling engineered together:** The company develops off-grid solar and recirculating closed-loop cooling, treating power and water efficiency as core engineering problems.
- **Managed operations and reliability:** Smart hands, cluster provisioning and operations support let research teams focus on models while FluidStack runs the physical and orchestration layers.
- **US-built and onshored supply chain:** Data centers are built in the United States with onshored manufacturing of compute and power infrastructure, a deliberate supply-chain and sovereignty choice.

**Strengths:** Purpose-built AI infrastructure rather than generic cloud resale; Power, cooling and data center design handled in-house, which matters at scale; Managed provisioning and operations for large training and inference clusters; Explicit positioning on US-built, onshored infrastructure

**Limitations:** No published self-serve pricing or instant sign-up; access requires a sales conversation; Enterprise-scale focus means very small individual workloads may not be a fit; Capacity is concentrated in US locations, which may matter for latency-sensitive or data-residency-bound teams

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

## Runway

Runway is an AI research company focused on generative media. Its Creative suite brings video generation, image generation, editing, and audio tools into a single cloud workspace, so individuals and teams can go from an idea to a finished clip without a traditional editing pipeline. Core generation is driven by Runway's own models, and recent generations have pushed on motion realism, prompt adherence, and visual fidelity.

Runway also operates as a platform rather than only a product. The Dev offering exposes its models and models from other labs through a unified API for building media applications at scale. App Studio lets teams assemble custom no-code creative tools inside Runway, and integrations extend the models into environments like Claude Marketplace. Enterprise plans add security, administration, and support for larger organizations.

Beyond media, Runway researches what it calls General World Models — systems that understand the visual world and its dynamics. This research underpins GWM-1 and the Robotics product line, which provides photorealistic simulation for policy inference, offline evaluation, and synthetic data generation. Runway states that more than 60 million creatives have used its tools.

**Pricing & Plans:** Freemium with free trial access plus paid individual, team, and enterprise tiers; enterprise pricing is available on request. API usage and robotics tooling are typically quoted or metered separately.

- **Text and image to video:** Type a prompt or upload a reference to produce short video clips with model options tuned for realism, motion, and prompt adherence.
- **Editing and motion control:** Motion brush, camera controls, inpainting, and frame-level tools let you direct a generation rather than accept the first result.
- **Developer API platform:** Reach Runway's models and third-party models through the Dev platform to build media products and batch pipelines.
- **No-code App Studio:** Build and share custom creative apps inside Runway without writing code, so teams standardize on repeatable workflows.
- **Robotics and world models:** GWM-1 research powers simulation and policy inference for robotics applications beyond media generation.

**Strengths:** Combines strong video models with an editing suite in one workspace; API platform gives developers access to multiple model providers; Actively advancing model quality through published research; Enterprise support, security, and administration available

**Limitations:** Heavy video generation consumes credits quickly and lowers effective output per dollar; Some advanced capabilities are gated behind higher tiers; Model capabilities and interface change frequently, so workflows may need updating

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

## Frequently Asked Questions

### How do FluidStack and Runway compare in monthly traffic?

FluidStack has 154,620 monthly visits, while Runway has 7,498,396. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

FluidStack has a month-over-month growth rate of +7.3%; Runway has +16.9%.

### How does pricing compare?

FluidStack: Paid, Contact for Pricing. Enterprise and contact-for-pricing. FluidStack does not publish per-GPU-hour rates or a self-serve sign-up on its website; capacity is scoped and quoted through a direct sales conversation based on cluster size, duration and hardware. Catalogue listings classify it as a paid product requiring contact for pricing. Runway: Freemium, Paid, Contact for Pricing. Freemium with free trial access plus paid individual, team, and enterprise tiers; enterprise pricing is available on request. API usage and robotics tooling are typically quoted or metered separately.

## Alternatives

| # | Tool Name | Monthly Visits | MoM Growth Rate | Pricing Model | Summary | Profile (Markdown) |
| :--- | :--- | :--- | :--- | :--- | :--- | :--- |
| 1 | [Adobe Firefly](https://openaitools.app/tool/adobe) | 396,998,213 | -8.6% | Freemium | Provides commercially safe generative video and image tools tightly integrated with professional creative workflows, though less experimental. | [.md](https://openaitools.app/tool/adobe.md) |
| 2 | [Higgsfield](https://openaitools.app/tool/higgsfield) | 47,127,865 | +16.2% | Freemium, Free Trial | Provides cinematic AI video generation and editing with a mobile-first focus, offering dynamic camera controls and stylized outputs. | [.md](https://openaitools.app/tool/higgsfield.md) |
| 3 | [InVideo](https://openaitools.app/tool/invideo) | 6,893,591 | +4.6% | Freemium | Combines timeline video editing with agentic AI generation tools for marketing videos. | [.md](https://openaitools.app/tool/invideo.md) |
| 4 | [Pollo AI](https://openaitools.app/tool/pollo-ai) | 6,641,636 | -9.6% | Freemium | Aggregates leading third-party video and image models into one unified generation interface. | [.md](https://openaitools.app/tool/pollo-ai.md) |
| 5 | [ComfyUI](https://openaitools.app/tool/comfyui) | 4,379,348 | +13.4% | Contact for Pricing, Free | Offers complete local control over custom video diffusion pipelines, but requires steep technical setup compared to Runway's cloud suite. | [.md](https://openaitools.app/tool/comfyui.md) |
| 6 | [Vidu](https://openaitools.app/tool/vidu) | 4,009,012 | +18.7% | Freemium, Paid | Generates short cinematic video clips with strong character consistency, matching Runway's core text-to-video capabilities. | [.md](https://openaitools.app/tool/vidu.md) |
| 7 | [fal.ai](https://openaitools.app/tool/fal-ai) | 3,093,684 | -3.7% | Paid, pay-as-you-go usage-based pricing | Delivers developer-first serverless endpoints optimized for generative media models rather than general-purpose infrastructure. | [.md](https://openaitools.app/tool/fal-ai.md) |
| 8 | [RunPod](https://openaitools.app/tool/runpod) | 2,881,043 | +5.9% | Paid | Offers flexible on-demand GPU rentals and serverless endpoints, but lacks FluidStack's ultra-scale enterprise GPU clusters. | [.md](https://openaitools.app/tool/runpod.md) |
| 9 | [Luma Dream Machine](https://openaitools.app/tool/luma-dream-machine) | 2,254,969 | -2.4% | Freemium | Generates cinematic AI video clips from text and images, offering strong motion realism but fewer professional editing tools. | [.md](https://openaitools.app/tool/luma-dream-machine.md) |
| 10 | [Kling AI](https://openaitools.app/tool/klingai-com) | 1,989,326 | +16.2% | Freemium | Delivers exceptional visual fidelity and long motion consistency for text-to-video, though with a different interface and regional setup. | [.md](https://openaitools.app/tool/klingai-com.md) |

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Source: https://openaitools.app/compare/fluidstack-vs-runwayml

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