# Groq vs Tunk.ai

Groq records 3,987,936 monthly visits with +10% month-over-month growth and Paid pricing. Tunk.ai records 0 monthly visits with -100% growth and Free Trial, Contact for Pricing pricing.

| Metric | [Groq](https://openaitools.app/tool/groq) | [Tunk.ai](https://openaitools.app/tool/tunk) |
| :--- | :--- | :--- |
| Website URL | https://groq.com | https://www.tunk.ai |
| Categories | AI API, Large Language Models (LLMs), Open Source AI Models | AI Speech-to-Text, AI Agent, AI Transcription, AI API |
| Pricing Model | Paid | Free Trial, Contact for Pricing |
| Monthly Visits | 3,987,936 | 0 |
| MoM Growth Rate | +10% | -100% |
| Primary Market | India | Global |
| Direct Visits | 1,702,515 | 0 |
| Review Score | 4.7 | 4.2 |
| Saved Count | 4 | 0 |
| Supported Platforms | Website | Website |

## 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)

## Tunk.ai

Tunk.ai is a voice AI platform from LogicNimbus Private Limited, aimed at teams that need to put AI on the phone rather than just in a chat window. The headline product, ANCHOR, is an agent builder: you describe in plain English what the agent should do, who it talks to and what a good call looks like, and the platform assembles the voice, prompts, knowledge and call flow for you. From there you attach tools, endpoints and a phone number, test the conversation, and deploy it either to a live line, inside your own app, or through the API.

Under the hood the platform is organized into six subsystems, covering the call flow engine, a centralized knowledge base, mid-call tools and actions, a unified assistant hub, a workflow engine for branching and escalation, and records plus analytics for every call. Because the agent can call your own endpoints during a conversation, it can book appointments, look up or update records and then write the outcome back to Salesforce, HubSpot or Zoho — analytics then return sentiment, intent and outcome scoring as soon as each call ends. Phone numbers are provisioned through Twilio or Plivo and campaigns can be pointed at a contact list, so outbound dialing runs at whatever volume you need.

The second pillar is speech to text. Real-time transcription returns text while the caller is still speaking, across dozens of languages and accents, and it is available directly through an API or the built-in playground. The platform supports multiple LLM and transcriber providers — including OpenAI and Azure — so you can swap the underlying model without rebuilding an agent. Tunk.ai is listed with NVIDIA Inception and participates in the Speechmatics Startup Program and Startup India. Pricing is enterprise-oriented; the site routes buyers to a demo or sales conversation rather than publishing flat self-serve rates.

**Pricing & Plans:** Enterprise-oriented with a free trial / demo path. No public self-serve price list is shown: prospective customers are asked to book a demo or contact the team, and pricing is reported as per-minute or customized enterprise volume tiers for voice agents, real-time telephony streaming and speech-to-text APIs.

- **ANCHOR Agent Builder:** Describe an agent in plain English and the platform sets up the voice, prompts, knowledge and call flow; then test, refine and deploy to a phone line, an app or the API.
- **Real-Time Speech to Text:** Streaming transcription returns text while the caller is still speaking, covering dozens of languages and accents through the API or the built-in playground.
- **Tools, Actions and CRM Sync:** Hand the agent your own endpoints so it can book, look up and update records mid-call, then write the outcome back to Salesforce, HubSpot or Zoho.
- **Outbound Campaigns and Cloud Dialer:** Connect Twilio or Plivo, point a campaign at your contact list, and let the agent handle every call while you manage only the queue.
- **Call Analytics and Compliance Records:** Sentiment, intent and outcome are scored on each conversation the moment it ends, with transcripts and costs retained so you can audit and improve campaigns.

**Strengths:** Agents are configured in plain English, which lowers the barrier for non-engineers; Covers both sides of voice: an agent builder for calls and a real-time speech-to-text API; Mid-call integrations write outcomes back into Salesforce, HubSpot and Zoho; Carrier-agnostic telephony through Twilio or Plivo, with inbound and outbound support

**Limitations:** No published self-serve pricing, so you must talk to sales before you can budget; Enterprise setup with carriers, CRM and knowledge sources takes real integration work; Public documentation and third-party reviews are thinner than for larger voice AI vendors

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

## Frequently Asked Questions

### How do Groq and Tunk.ai compare in monthly traffic?

Groq has 3,987,936 monthly visits, while Tunk.ai has 0. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

Groq has a month-over-month growth rate of +10%; Tunk.ai has -100%.

### How does pricing compare?

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. Tunk.ai: Free Trial, Contact for Pricing. Enterprise-oriented with a free trial / demo path. No public self-serve price list is shown: prospective customers are asked to book a demo or contact the team, and pricing is reported as per-minute or customized enterprise volume tiers for voice agents, real-time telephony streaming and speech-to-text APIs.

## 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 | [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) |
| 5 | [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) |
| 6 | [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) |
| 7 | [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) |
| 8 | [JustCall](https://openaitools.app/tool/justcall) | 780,285 | +11.8% | Paid | AI communication platform for sales and support teams | [.md](https://openaitools.app/tool/justcall.md) |
| 9 | [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) |
| 10 | [Vapi](https://openaitools.app/tool/vapi) | 662,301 | -11.4% | Freemium | Build, test, and deploy production-grade voice AI agents over API | [.md](https://openaitools.app/tool/vapi.md) |

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

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