# Boxes.dev vs Groq

Boxes.dev records 552 monthly visits with 0% month-over-month growth and Freemium, Contact for Pricing pricing. Groq records 3,987,936 monthly visits with +10% growth and Paid pricing.

| Metric | [Boxes.dev](https://openaitools.app/tool/boxes-dev) | [Groq](https://openaitools.app/tool/groq) |
| :--- | :--- | :--- |
| Website URL | https://boxes.dev | https://groq.com |
| Categories | AI Agent, AI Developer Tools, AI Code Assistant, AI Copilot | AI API, Large Language Models (LLMs), Open Source AI Models |
| Pricing Model | Freemium, Contact for Pricing | Paid |
| Monthly Visits | 552 | 3,987,936 |
| MoM Growth Rate | 0% | +10% |
| Primary Market | Global | India |
| Direct Visits | 159 | 1,702,515 |
| Review Score | 4.6 | 4.7 |
| Saved Count | 0 | 4 |
| Supported Platforms | Website | Website |

## Boxes.dev

Boxes.dev solves a problem that appears the moment you start running more than one AI coding agent at a time: a single laptop cannot give several agents isolated filesystems, isolated ports and enough CPU at once. The product's answer is to hand each meaningful body of work its own cloud machine, called a devbox. A devbox is a real Linux computer with its own filesystem, its own processes, port forwarding back to localhost, and your development setup already installed, so several tasks can run in parallel without port collisions or resource contention.

What makes Boxes.dev distinctive is that it does not introduce a new agent harness. It runs the native Claude Code and Codex CLI you already pay for, using your existing subscription or API key — the company explicitly does not sell tokens. Onboarding is designed to be handed to the agent itself: you paste a prompt into Claude Code or Codex inside your project folder, the agent inspects your environment (env files, local databases, tooling outside the repo), drafts a setup plan, and after your approval a second agent executes the plan on a remote box. The resulting filesystem-and-memory snapshot becomes the template that all future devboxes boot from in seconds.

Operationally, agents can be started from Slack by mentioning the bot, by assigning a Linear issue, by a cron schedule, or by a single API call, and results come back where you asked for them. Devboxes sleep automatically when idle and sleeping boxes are free, which keeps parallelism from turning into runaway cost. The company positions it against Devin, Cursor and bare Claude Code/Codex setups, emphasising full cloud computers per agent, a native iOS and Android app, live session sharing for teammates, and preview URLs for running apps.

**Pricing & Plans:** Freemium with a usage-based model. A free trial includes 20 box-hours with a template box plus 3 awake devboxes and unlimited sleeping boxes. Paid tiers per user per month: Starter $19 (50 box-hours, 5 awake devboxes), Pro $99 (300 box-hours, 12 awake devboxes) and Max $249 (750 box-hours, 25 awake devboxes). Overage is $0.40 per box-hour with prepaid discounts up to 10%. Teams plans with SSO, SCIM, RBAC and audit logs are custom-priced. A box-hour equals one hour awake on a standard 4 vCPU / 8 GiB / 100 GB machine; larger sizes consume proportionally more.

- **One cloud computer per agent:** Every meaningful task gets a fresh Linux devbox with its own filesystem, processes and ports, so parallel agents never fight over resources or collide on ports.
- **Bring your own Claude Code or Codex:** Boxes.dev runs the native harness and your existing subscription or API key — no new agent framework, and no token resale.
- **Start agents from anywhere:** Kick off work by mentioning @boxes.dev in Slack, assigning a Linear issue, scheduling a cron job, or calling the REST API, with results returned in the same channel.
- **Desktop, mobile, terminal and web clients:** Read threads, approve requests, review diffs or open a terminal on any surface, including full-featured native iOS and Android apps.
- **Sleeping devboxes are free:** Idle boxes suspend automatically and are billed by the second only while awake, keeping the cost of running many agents under control.

**Strengths:** Each agent gets a genuine isolated cloud computer rather than a worktree or sandbox on your laptop; Works with your existing Claude Code or Codex subscription, so there is no separate token bill; Agents can be triggered from Slack, Linear, cron or API, which fits existing team workflows; Idle devboxes sleep for free, and billing is per second, so parallel experiments stay affordable

**Limitations:** Usage is metered in box-hours, so heavy or long-running workloads can exceed included allowances; The free trial's 20 box-hours is enough for evaluation but not sustained daily work; Most powerful features such as SSO, audit logs and dedicated deployment sit behind custom-priced Teams plans

[Profile (Markdown)](https://openaitools.app/tool/boxes-dev.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 Boxes.dev and Groq compare in monthly traffic?

Boxes.dev has 552 monthly visits, while Groq has 3,987,936. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

Boxes.dev has a month-over-month growth rate of 0%; Groq has +10%.

### How does pricing compare?

Boxes.dev: Freemium, Contact for Pricing. Freemium with a usage-based model. A free trial includes 20 box-hours with a template box plus 3 awake devboxes and unlimited sleeping boxes. Paid tiers per user per month: Starter $19 (50 box-hours, 5 awake devboxes), Pro $99 (300 box-hours, 12 awake devboxes) and Max $249 (750 box-hours, 25 awake devboxes). Overage is $0.40 per box-hour with prepaid discounts up to 10%. Teams plans with SSO, SCIM, RBAC and audit logs are custom-priced. A box-hour equals one hour awake on a standard 4 vCPU / 8 GiB / 100 GB machine; larger sizes consume proportionally more. 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 | [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 | [RunPod](https://openaitools.app/tool/runpod) | 2,881,043 | +5.9% | Paid | The AI developer cloud for GPU pods, serverless inference and clustering | [.md](https://openaitools.app/tool/runpod.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 | [MyClaw](https://openaitools.app/tool/myclaw) | 990,387 | -23.8% | Paid | Your always-on AI teammate, hosted and managed for you | [.md](https://openaitools.app/tool/myclaw.md) |
| 8 | [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) |
| 9 | [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) |
| 10 | [BLACKBOX.AI](https://openaitools.app/tool/blackbox-ai-1) | 622,975 | -27.2% | Free Trial, Paid | High-trust frontier inference, encrypted end to end | [.md](https://openaitools.app/tool/blackbox-ai-1.md) |

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Source: https://openaitools.app/compare/boxes-dev-vs-groq

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