# DROP vs Groq

DROP records 488 monthly visits with -71.8% month-over-month growth and Free pricing. Groq records 3,987,936 monthly visits with +10% growth and Paid pricing.

| Metric | [DROP](https://openaitools.app/tool/drop) | [Groq](https://openaitools.app/tool/groq) |
| :--- | :--- | :--- |
| Website URL | https://drop.space | https://groq.com |
| Categories | AI Files, AI Productivity Tools | AI API, Large Language Models (LLMs), Open Source AI Models |
| Pricing Model | Free | Paid |
| Monthly Visits | 488 | 3,987,936 |
| MoM Growth Rate | -71.8% | +10% |
| Primary Market | United States | India |
| Direct Visits | 190 | 1,702,515 |
| Review Score | 4.3 | 4.7 |
| Saved Count | 1 | 4 |
| Supported Platforms | Website | Website |

## DROP

DROP is a lightweight alternative to traditional large-file senders. It runs entirely in the browser: you choose files or a folder with the plus button, review the list, and start the upload while the progress indicator tracks the actual bytes sent. Once the transfer completes you register or sign in — via Google or an email code — to unlock your share link, and the recipient needs no account at all.

The service is designed for handing over photos, finished videos and documents. Folder uploads preserve relative paths, so recipients can either grab individual files or hit "Download all" for a single ZIP that keeps the folder structure; empty folders are not retained. Supported previews include common images, PDF, browser-playable video and audio, and text, while Office and OpenDocument previews depend on an available conversion service and are capped at 64 MiB for the original file.

The limits are clearly published rather than hidden behind a paywall: one transfer can hold up to 10 GB across 1 to 1,000 files, anonymous uploads stay available for 24 hours from creation, and signing in can extend an owned upload to 72 hours from the original creation time. Once a transfer expires the link stops working and background cleanup removes the originals, previews and unfinished upload parts. Files are stored on Cloudflare R2.

**Pricing & Plans:** Free to use — the site publishes no paid tier, no subscription and no per-transfer fee for the documented 10 GB / 1,000 file limits.

- **Large transfers up to 10 GB:** Send up to 10 GB in a single transfer, with support for 1 to 1,000 files per upload.
- **Folder uploads without zipping:** Choose a folder directly in a browser that supports folder selection; relative paths are preserved so recipients get the structure back as a ZIP.
- **No account needed for recipients:** Upload first, then sign in with Google or an email code to unlock the link — anyone with the link can download without registering.
- **In-browser previews:** Recipients can preview common images, PDF, playable video and audio, and text before downloading, with Office/OpenDocument previews when the conversion service is available.
- **Transparent expiry rules:** Anonymous transfers expire 24 hours after creation; a verified sign-in can extend an owned upload to 72 hours from its original creation time.

**Strengths:** Free with a genuinely large 10 GB ceiling and no account required to upload; Folder uploads keep their structure, so recipients do not have to reassemble anything; Recipients never need to register, which removes friction for one-off transfers; Published, explicit limits and expiry behaviour instead of vague fine print

**Limitations:** Retention is short — 24 hours anonymous and 72 hours signed in — so it is not long-term storage; Anyone holding a valid link can download before expiry, so links must be shared carefully; Office and OpenDocument previews depend on a conversion service and are limited to 64 MiB originals

[Profile (Markdown)](https://openaitools.app/tool/drop.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 DROP and Groq compare in monthly traffic?

DROP has 488 monthly visits, while Groq has 3,987,936. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

DROP has a month-over-month growth rate of -71.8%; Groq has +10%.

### How does pricing compare?

DROP: Free. Free to use — the site publishes no paid tier, no subscription and no per-transfer fee for the documented 10 GB / 1,000 file limits. 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 | [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) |

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

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