# Fish Audio vs FluidStack

Fish Audio records 8,557,159 monthly visits with +1.6% month-over-month growth and Freemium pricing. FluidStack records 154,620 monthly visits with +7.3% growth and Paid, Contact for Pricing pricing.

| Metric | [Fish Audio](https://openaitools.app/tool/fish-speech) | [FluidStack](https://openaitools.app/tool/fluidstack) |
| :--- | :--- | :--- |
| Website URL | https://fish.audio | https://fluidstack.io |
| Categories | AI Voice Generator, AI Text-to-Speech, AI Celebrity Voice Generator, AI Models | AI Developer Tools, AI Models, Large Language Models (LLMs) |
| Pricing Model | Freemium | Paid, Contact for Pricing |
| Monthly Visits | 8,557,159 | 154,620 |
| MoM Growth Rate | +1.6% | +7.3% |
| Primary Market | United States | United States |
| Direct Visits | 3,703,977 | 47,869 |
| Review Score | 4.4 | 4.4 |
| Saved Count | 11 | 1 |
| Supported Platforms | Website | Website |

## Fish Audio

Fish Audio, originally known as Fish Speech, is a voice-AI platform for turning text into natural speech. It combines text-to-speech, voice cloning and speech-to-text with emotional control, so you can tag a line as [whispering], [excited] or [sobbing] and get delivery that matches the script rather than flat narration. The voice library is enormous, with community-uploaded voices numbering in the millions across a wide range of languages.

Cloning is fast and forgiving: a short sample is enough to build a usable voice model, and it can then speak in many languages while keeping the original timbre. Fish Audio publishes powerful APIs for real-time streaming, cloning and transcription, and positions itself for enterprise work such as conversational agents, dubbing and audiobook production.

The company also keeps an open-source arm, releasing the Fish Speech model line for self-hosting, while the hosted platform adds a browser studio, avatar and image/video model integrations, and paid tiers for higher volume. Free starting tiers make it easy to evaluate before committing.

**Pricing & Plans:** Freemium: free sign-up with monthly generations, plus paid subscriptions for higher volume, commercial use and API access; enterprise pricing on request.

- **Expressive Text to Speech:** Type or paste a script and generate natural narration, with inline emotion and delivery tags such as [whispering], [angry] or [laughing].
- **Instant Voice Cloning:** Create a usable voice clone from a short audio sample and reuse it across scripts and languages.
- **Huge Voice Library:** Browse and use a large catalog of community voices covering many languages and character styles.
- **Speech to Text:** Transcribe audio with multilingual support and emotion or speaker cues for downstream editing.
- **Real-time Voice APIs:** Low-latency streaming endpoints let developers build conversational agents, dubbing pipelines and audio apps.

**Strengths:** Natural, emotionally controllable output that handles nuance well; Voice cloning works from a very short sample; Very large shared voice library plus open-source model lineage; Robust APIs for real-time streaming and developer integration

**Limitations:** Free tier is limited and top-quality usage pushes you toward paid plans; Voice cloning raises consent and impersonation risks that teams must manage; Some features and model names change quickly, so docs can lag the product

[Profile (Markdown)](https://openaitools.app/tool/fish-speech.md)

## 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)

## Frequently Asked Questions

### How do Fish Audio and FluidStack compare in monthly traffic?

Fish Audio has 8,557,159 monthly visits, while FluidStack has 154,620. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

Fish Audio has a month-over-month growth rate of +1.6%; FluidStack has +7.3%.

### How does pricing compare?

Fish Audio: Freemium. Freemium: free sign-up with monthly generations, plus paid subscriptions for higher volume, commercial use and API access; enterprise pricing on request. 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.

## Alternatives

| # | Tool Name | Monthly Visits | MoM Growth Rate | Pricing Model | Summary | Profile (Markdown) |
| :--- | :--- | :--- | :--- | :--- | :--- | :--- |
| 1 | [ElevenLabs](https://openaitools.app/tool/elevenlabs-io) | 42,396,771 | +26.1% | Freemium, Paid, Contact for Pricing | Industry-leading voice cloning and text-to-speech quality, but lacks Fish Audio's open-source model flexibility and self-hosting options. | [.md](https://openaitools.app/tool/elevenlabs-io.md) |
| 2 | [HeyGen](https://openaitools.app/tool/heygen) | 7,000,070 | +9.4% | Freemium | Turn scripts into studio-quality AI avatar videos in minutes | [.md](https://openaitools.app/tool/heygen.md) |
| 3 | [Speechify](https://openaitools.app/tool/speechify) | 5,457,475 | +0.5% | Freemium | Text to speech and voice AI across every device | [.md](https://openaitools.app/tool/speechify.md) |
| 4 | [Voicemod](https://openaitools.app/tool/voicemod) | 3,836,221 | -2.7% | Freemium | Real-time AI voice changer and soundboard for gaming and streaming | [.md](https://openaitools.app/tool/voicemod.md) |
| 5 | [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) |
| 6 | [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) |
| 7 | [Cartesia](https://openaitools.app/tool/cartesia-ai) | 1,782,707 | +49.7% | Contact for Pricing | Delivers ultra-low latency real-time streaming speech generation via API, though less focused on consumer dubbing workflows. | [.md](https://openaitools.app/tool/cartesia-ai.md) |
| 8 | [Together AI](https://openaitools.app/tool/together-ai) | 1,645,930 | +64.9% | Freemium, Paid | Focuses on optimized serverless inference APIs and managed model hosting rather than raw cluster rentals. | [.md](https://openaitools.app/tool/together-ai.md) |
| 9 | [Vast.ai](https://openaitools.app/tool/vast-ai) | 1,257,554 | +2.8% | Paid | Delivers peer-to-peer GPU rental marketplaces for lower-cost experimentation, though with less enterprise infrastructure predictability. | [.md](https://openaitools.app/tool/vast-ai.md) |
| 10 | [Modal](https://openaitools.app/tool/modal-com) | 1,196,021 | +30.2% | Freemium, Contact for Pricing | Provides serverless Python container execution for cloud jobs, but lacks raw multi-node cluster provisioning controls. | [.md](https://openaitools.app/tool/modal-com.md) |

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Source: https://openaitools.app/compare/fish-speech-vs-fluidstack

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