# Groq vs sunbeam (formerly Positional)

Groq records 3,987,936 monthly visits with +10% month-over-month growth and Paid pricing. sunbeam (formerly Positional) records 431 monthly visits with -95.1% growth and Contact for Pricing pricing.

| Metric | [Groq](https://openaitools.app/tool/groq) | [sunbeam (formerly Positional)](https://openaitools.app/tool/positional) |
| :--- | :--- | :--- |
| Website URL | https://groq.com | https://www.positional.com |
| Categories | AI API, Large Language Models (LLMs), Open Source AI Models | AI SEO Tools, AI Content Detector, SEO Writing AI, AI Outline Generator |
| Pricing Model | Paid | Contact for Pricing |
| Monthly Visits | 3,987,936 | 431 |
| MoM Growth Rate | +10% | -95.1% |
| Primary Market | India | United States |
| Direct Visits | 1,702,515 | 169 |
| Review Score | 4.7 | 4.3 |
| 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)

## sunbeam (formerly Positional)

sunbeam is positioned as a shift away from the previous generation of AI SEO workflows toward autonomous agents. Rather than giving a marketer a set of assisted tasks to complete, the agent is meant to own the workstream end to end. During onboarding it ingests a large corpus about your company — hundreds of product pages and blog posts, internal brand-voice documents, competitor landscapes and customer reviews — and builds an internal knowledge graph of your offerings. It reports that it can become ready to work in roughly two hours.

Once live, the agent handles each component of an SEO program independently and in parallel: keyword and market research, strategy development, content drafting, editorial calendar and performance tracking, plus technical SEO fixes. The stated goal is to let an organization start producing organic search results from day one instead of spending the first months building process.

Because the product is sold as a managed, agent-driven service rather than a self-serve subscription, the practical way to buy it is to book a demo and have the team scope what the agent would take on for your site. The site does not publish a public price list. Note that the company keeps a separate editorial site with essays and a documentary on autonomous SEO.

**Pricing & Plans:** No public price list is shown on the site — the product is sold through a demo booking and a scoped engagement, so contact the vendor for a quote.

- **Autonomous SEO agent:** One agent owns strategy, content, editorial and technical SEO, running each workstream independently and in parallel rather than as a stack of separate tools.
- **Company-wide onboarding:** Onboarding reads product pages, blog archives, brand-voice documents, competitor sites and customer reviews to build an internal knowledge graph of your business.
- **Content and editorial execution:** The agent drafts and plans content in your mapped brand voice, keeps an editorial calendar moving and tracks performance across pages.
- **Technical SEO fixes:** Technical SEO runs alongside content work, so structural issues are identified and addressed without a separate queue.
- **Built for SEO and AI search:** Positioned for both classic organic search and the newer AI answer surfaces that increasingly drive discovery.

**Strengths:** Agent-driven approach executes work rather than only suggesting it; Onboarding ingests a broad corpus: products, blog, voice docs, competitors, reviews; Handles content, editorial and technical SEO in one place; Aimed at both classic search and AI answer surfaces

**Limitations:** No published pricing — you need a demo to understand cost and scope; Autonomous execution still needs human review before publishing; As a managed engagement it is less of a self-serve, try-it-instantly tool

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

## Frequently Asked Questions

### How do Groq and sunbeam (formerly Positional) compare in monthly traffic?

Groq has 3,987,936 monthly visits, while sunbeam (formerly Positional) has 431. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

Groq has a month-over-month growth rate of +10%; sunbeam (formerly Positional) has -95.1%.

### 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. sunbeam (formerly Positional): Contact for Pricing. No public price list is shown on the site — the product is sold through a demo booking and a scoped engagement, so contact the vendor for a quote.

## 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 | [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) |
| 6 | [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) |
| 7 | [Fireworks](https://openaitools.app/tool/fireworks-ai) | 659,687 | +6% | Contact for Pricing | High-throughput serverless inference for open models, featuring excellent speed and fine-tuning capabilities with broad API compatibility. | [.md](https://openaitools.app/tool/fireworks-ai.md) |
| 8 | [DeepInfra](https://openaitools.app/tool/deep-infra) | 457,810 | -8.9% | Paid | Low-cost serverless inference cloud hosting hundreds of open-weight models, but lacking specialized custom hardware accelerators like LPUs. | [.md](https://openaitools.app/tool/deep-infra.md) |
| 9 | [Novita AI](https://openaitools.app/tool/novita-ai) | 271,371 | -10.4% | Paid | AI cloud platform providing serverless model APIs and GPU instances, but with less emphasis on ultra-low-latency text generation. | [.md](https://openaitools.app/tool/novita-ai.md) |
| 10 | [Chutes](https://openaitools.app/tool/chutes) | 250,187 | -15.2% | Paid | Decentralized serverless inference platform hosting open-source models, offering lower costs but less enterprise reliability guarantees. | [.md](https://openaitools.app/tool/chutes.md) |

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

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