# Gradium vs Groq

Gradium records 126,416 monthly visits with +128.7% month-over-month growth and Freemium, Contact for Pricing pricing. Groq records 3,987,936 monthly visits with +10% growth and Paid pricing.

| Metric | [Gradium](https://openaitools.app/tool/gradium) | [Groq](https://openaitools.app/tool/groq) |
| :--- | :--- | :--- |
| Website URL | https://gradium.ai | https://groq.com |
| Categories | AI Text-to-Speech, AI Speech-to-Text, AI Voice Cloning, AI API | AI API, Large Language Models (LLMs), Open Source AI Models |
| Pricing Model | Freemium, Contact for Pricing | Paid |
| Monthly Visits | 126,416 | 3,987,936 |
| MoM Growth Rate | +128.7% | +10% |
| Primary Market | France | India |
| Direct Visits | 27,158 | 1,702,515 |
| Review Score | 4.5 | 4.7 |
| Saved Count | 0 | 4 |
| Supported Platforms | Website | Website |

## Gradium

Gradium targets teams building conversational voice agents, telephony bots, and real-time translation experiences where latency decides whether a product feels natural. Its model lineup covers the full loop: text-to-speech for synthesis, speech-to-text for transcription, live voice-to-voice translation, instant cloning from a short audio sample, pro cloning for production-grade custom voices, and voice design that creates a brand-new voice from a text description alone.

The platform is API-first, with SDKs for Python and Rust, WebSocket streaming, semantic voice activity detection, custom vocabularies, code-switching support, and integrations such as LiveKit and Pipecat so teams can drop it into existing agent stacks. Gradium also ships Phonon, an open on-device TTS model that can run offline, which matters for privacy-sensitive or embedded deployments.

Pricing is credit-based across five self-serve tiers plus enterprise. Credits map to usage: text-to-speech costs 1 credit per character, speech-to-text 3 credits per second, speech-to-text translation 4 credits per second, and speech-to-speech translation 30 credits per second. Higher tiers unlock commercial use, more custom voices, pro clones, and better concurrency, while enterprise adds dedicated inference, on-premises deployment, and options such as Baseten or SageMaker endpoints.

**Pricing & Plans:** Free tier with 45k credits per month. Paid plans run $12/mo (XS), $39/mo (S), $312/mo (M), and $1,480/mo (L) on monthly billing, with yearly billing giving one month free. Usage is credit-based (1 credit per TTS character, 3 credits per STT second, 30 credits per second for speech-to-speech translation). Enterprise pricing is custom.

- **Ultra-low-latency voice models:** Text-to-speech, speech-to-text, and live speech-to-speech translation reach roughly 50 ms to first audio, tuned for conversational agents rather than batch processing.
- **Tiered voice cloning and voice design:** Clone a voice from a short sample for everyday use, move up to pro cloning for production quality, or generate a brand-new voice from a text description.
- **Developer-first API and SDKs:** WebSocket streaming, Python and Rust SDKs, custom vocabulary, semantic VAD, and code-switching support make integration straightforward for agent builders.
- **Open on-device TTS with Phonon:** Phonon is Gradium's openly available TTS model that runs on-device for offline or privacy-sensitive deployments.
- **Scaling and deployment options:** Gradium handles concurrency tiers for growing traffic and supports dedicated inference, on-premises deployment, and Baseten or SageMaker endpoint hosting.

**Strengths:** Very low latency tuned specifically for live voice agents rather than offline batch jobs; Full voice stack in one API: TTS, STT, translation, cloning, and voice design; Genuine free tier (45k credits/month) and low $12/mo entry point for prototyping; Enterprise-grade options including on-premises deployment, data residency, and an open on-device TTS model

**Limitations:** Credit-based pricing is harder to forecast than flat per-seat plans, and unused plan credits expire monthly; Pro voice cloning and higher concurrency sit behind the larger monthly tiers; Feature depth varies by plan, so commercial use requires at least the XS tier

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

## Groq

Groq is an AI inference cloud that runs large language models and other AI models at exceptionally low latency. Instead of designing chips for training, Groq built custom silicon called the LPU, now joined by LPX, optimized specifically for inference, the stage where models actually serve users. The company positions itself as a 'neocloud' for fast inference and combines that hardware with a software stack and developer APIs.

Developers access Groq through an API that hosts popular open models such as Llama, Mixtral, Gemma, and Whisper speech models, along with text-to-speech capabilities. Because the platform is tuned for speed, it is often used for real-time chat, agents, and voice interfaces where response time matters. The API is broadly compatible with common OpenAI-style request formats, which lowers the cost of switching.

Groq has scaled aggressively, announcing a $350 million Series A and building hundreds of megawatts of inference capacity. It highlights reliability and cost alongside speed, arguing that fast and affordable no longer need to be a tradeoff for teams running AI workloads in production.

**Pricing & Plans:** Paid, usage-based inference API. Groq charges per token for hosted models, with free developer tiers and enterprise capacity options; check the official pricing page for current rates.

- **LPU and LPX inference hardware:** Custom accelerators designed specifically for inference rather than training, tuned for very low latency.
- **Open model catalog:** Hosted access to popular open models including Llama, Mixtral, Gemma, and Whisper speech models.
- **Fast developer API:** An API broadly compatible with common OpenAI-style request formats for quick integration.
- **Speech and audio models:** Automatic speech recognition with Whisper plus text-to-speech capabilities for voice applications.
- **Scales for production:** Capacity built for high-volume production workloads with an emphasis on reliability and cost.

**Strengths:** Very fast inference latency for real-time applications; Broad catalog of popular open-source models; OpenAI-compatible API reduces migration effort; Managed cloud removes the need to run your own GPUs

**Limitations:** Focus is inference only, not model training; Pricing is usage-based, so costs scale with traffic; Availability and model selection depend on the hosted catalog

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

## Frequently Asked Questions

### How do Gradium and Groq compare in monthly traffic?

Gradium has 126,416 monthly visits, while Groq has 3,987,936. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

Gradium has a month-over-month growth rate of +128.7%; Groq has +10%.

### How does pricing compare?

Gradium: Freemium, Contact for Pricing. Free tier with 45k credits per month. Paid plans run $12/mo (XS), $39/mo (S), $312/mo (M), and $1,480/mo (L) on monthly billing, with yearly billing giving one month free. Usage is credit-based (1 credit per TTS character, 3 credits per STT second, 30 credits per second for speech-to-speech translation). Enterprise pricing is custom. Groq: Paid. Paid, usage-based inference API. Groq charges per token for hosted models, with free developer tiers and enterprise capacity options; check the official pricing page for current rates.

## Alternatives

| # | Tool Name | Monthly Visits | MoM Growth Rate | Pricing Model | Summary | Profile (Markdown) |
| :--- | :--- | :--- | :--- | :--- | :--- | :--- |
| 1 | [DeepSeek](https://openaitools.app/tool/deepseek) | 372,761,591 | +4.3% | Freemium | High-efficiency open-weight and hosted reasoning AI powered by DeepSeek-V4 and R1 at ultra-low token costs. | [.md](https://openaitools.app/tool/deepseek.md) |
| 2 | [OpenAI Platform](https://openaitools.app/tool/openai) | 234,678,639 | -9.6% | Paid | Proprietary frontier models with powerful reasoning and multimodal features, but lacking open-weight model hosting and custom inference speeds. | [.md](https://openaitools.app/tool/openai.md) |
| 3 | [Google AI Studio](https://openaitools.app/tool/google-ai-studio) | 112,620,020 | +2% | Freemium | Google's rapid prototyping IDE and developer API workbench for building multimodal applications with Gemini models. | [.md](https://openaitools.app/tool/google-ai-studio.md) |
| 4 | [ElevenLabs](https://openaitools.app/tool/elevenlabs-io) | 42,396,771 | +26.1% | Freemium, Paid, Contact for Pricing | AI audio platform for speech, agents, music and dubbing | [.md](https://openaitools.app/tool/elevenlabs-io.md) |
| 5 | [OpenRouter](https://openaitools.app/tool/openrouter-ai) | 19,941,437 | -6.2% | Paid | Unified API gateway aggregating hundreds of models across providers, but acting as a router rather than direct hardware host. | [.md](https://openaitools.app/tool/openrouter-ai.md) |
| 6 | [Fish Audio](https://openaitools.app/tool/fish-speech) | 8,557,159 | +1.6% | Freemium | Studio-grade AI text to speech and voice cloning | [.md](https://openaitools.app/tool/fish-speech.md) |
| 7 | [Cartesia](https://openaitools.app/tool/cartesia-ai) | 1,782,707 | +49.7% | Contact for Pricing | Real-time voice AI models and agents you can build on | [.md](https://openaitools.app/tool/cartesia-ai.md) |
| 8 | [Together AI](https://openaitools.app/tool/together-ai) | 1,645,930 | +64.9% | Freemium, Paid | Robust cloud platform for open-source model inference, offering extensive fine-tuning support but slightly slower raw speeds. | [.md](https://openaitools.app/tool/together-ai.md) |
| 9 | [Deepgram Voice AI](https://openaitools.app/tool/deepgram-voice-ai) | 863,852 | +31.8% | Free Trial | Real-time speech-to-text, text-to-speech and voice agents in one API platform | [.md](https://openaitools.app/tool/deepgram-voice-ai.md) |
| 10 | [Cerebras](https://openaitools.app/tool/cerebras) | 701,013 | -12.6% | Contact for Pricing | Wafer-scale hardware cloud delivering ultra-fast token generation speeds comparable to Groq, but supporting a more specialized model catalog. | [.md](https://openaitools.app/tool/cerebras.md) |

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Source: https://openaitools.app/compare/gradium-vs-groq

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