# Groq vs Speko

Groq records 3,987,936 monthly visits with +10% month-over-month growth and Paid pricing. Speko records 20,954 monthly visits with -7.9% growth and Paid, Contact for Pricing pricing.

| Metric | [Groq](https://openaitools.app/tool/groq) | [Speko](https://openaitools.app/tool/speko) |
| :--- | :--- | :--- |
| Website URL | https://groq.com | https://speko.ai |
| Categories | AI API, Large Language Models (LLMs), Open Source AI Models | AI API, AI Speech-to-Text, AI Text-to-Speech, AI Agent |
| Pricing Model | Paid | Paid, Contact for Pricing |
| Monthly Visits | 3,987,936 | 20,954 |
| MoM Growth Rate | +10% | -7.9% |
| Primary Market | India | United States |
| Direct Visits | 1,702,515 | 5,932 |
| Review Score | 4.7 | 4.4 |
| 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)

## Speko

The core idea is that no single speech model wins everywhere. Speko's benchmark shows six different models taking the top spot across 18 languages, and notes that a large share of models are only ever measured in English, leaving their ranking in other languages unknown. Instead of committing to one vendor, Speko routes each stage of a voice pipeline — STT, LLM and TTS — to whichever model performs best for the language your users actually speak, with measured selection and failover before the response starts.

Two commercial shapes are offered. On Speko infrastructure you pay a single bundled rate of $0.09 per minute covering all three legs. Alternatively, managed routing adds 5% on top of a provider's published rate and lets you use your own provider keys, in which case the provider bills you directly. The router is hosted at router.speko.dev with typed contracts and public OpenAPI and AsyncAPI documentation.

The platform layer targets teams that need working phone agents, not just model access. You can map a call step by step, connect calendars, CRMs, your own APIs and documentation into any step, buy a phone number, test drafts against simulated callers including adversarial ones, and score every live call against checks you write in plain language. Native integrations exist for LiveKit and Pipecat, and an MCP server exposes Speko to Claude, ChatGPT, Grok, Cursor and Claude Code. Speko states it is backed by Y Combinator and that new accounts receive $10 in credit.

**Pricing & Plans:** Two models. On Speko infrastructure, a flat $0.09 per minute bundles STT, LLM and TTS; calls bill from answer to hang-up and unanswered calls cost nothing. With managed routing, you pay the selected provider's published rate plus 5%. $10 in signup credit applies to every account. Phone numbers cost $1 setup and $2 per month for most numbers, and calls on Speko numbers add the carrier charge plus 20%.

- **Language-aware model routing:** STT, LLM and TTS are selected per language based on an independent benchmark covering 89 models across 18 languages, with pre-response failover.
- **Voice agent platform:** Design a call step by step, plug calendars, CRMs, your APIs and docs into any step, then run it with inbound, outbound and call-list support.
- **Simulated caller testing:** Draft agents are tested against simulated callers, including red-team scenarios that try to break the flow, before they go live.
- **Plain-language call scoring:** Every live call is scored against checks you write in everyday language, for example reading back a date or never quoting a price.
- **Framework and MCP integrations:** Native Gateway services for LiveKit and Pipecat, plus an MCP server for Claude, ChatGPT, Grok, Cursor and Claude Code.

**Strengths:** Independent, language-by-language benchmark rather than a single accuracy claim; Provider-neutral routing with the option to bring your own keys; Clear, simple pricing: $0.09 per minute bundled or 5% on routed provider spend; Agent platform includes phone numbers, evaluation and live call monitoring

**Limitations:** Public preview with no SLA and email-only support outside enterprise; The benchmark and model catalogue move quickly, so routing decisions need periodic review; Telephony costs sit on top of the per-minute rate, and international routes can exceed the US minimum

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

## Frequently Asked Questions

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

Groq has 3,987,936 monthly visits, while Speko has 20,954. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

Groq has a month-over-month growth rate of +10%; Speko has -7.9%.

### 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. Speko: Paid, Contact for Pricing. Two models. On Speko infrastructure, a flat $0.09 per minute bundles STT, LLM and TTS; calls bill from answer to hang-up and unanswered calls cost nothing. With managed routing, you pay the selected provider's published rate plus 5%. $10 in signup credit applies to every account. Phone numbers cost $1 setup and $2 per month for most numbers, and calls on Speko numbers add the carrier charge plus 20%.

## 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 | [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) |
| 7 | [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) |
| 8 | [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) |
| 9 | [Xiaomi MiMo](https://openaitools.app/tool/xiaomi-mimo) | 823,818 | -39.9% | Contact for Pricing | Xiaomi's multimodal model family for reasoning, vision and voice | [.md](https://openaitools.app/tool/xiaomi-mimo.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/groq-vs-speko

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