# API2D vs Groq

API2D records 214 monthly visits with -91.3% month-over-month growth and Paid pricing. Groq records 3,987,936 monthly visits with +10% growth and Paid pricing.

| Metric | [API2D](https://openaitools.app/tool/api2d-com) | [Groq](https://openaitools.app/tool/groq) |
| :--- | :--- | :--- |
| Website URL | https://www.api2d.com | https://groq.com |
| Categories | AI API, Large Language Models (LLMs), AI Developer Tools | AI API, Large Language Models (LLMs), Open Source AI Models |
| Pricing Model | Paid | Paid |
| Monthly Visits | 214 | 3,987,936 |
| MoM Growth Rate | -91.3% | +10% |
| Primary Market | Taiwan | India |
| Direct Visits | 86 | 1,702,515 |
| Review Score | 3.8 | 4.7 |
| Saved Count | 4 | 4 |
| Supported Platforms | Website | Website |

## API2D

API2D is a payment-and-routing layer that sits in front of the world's major language and image models. Instead of managing billing with each provider separately, you register an API2D account, top it up, copy the issued key and paste it into any client that supports a custom API base URL. Because the interface mirrors OpenAI's own specification, most existing tools, SDKs and self-hosted chat UIs work without code changes.

The platform bills in points (P) rather than a fixed monthly subscription, so cost tracks actual token consumption. According to API2D's own documentation, overall pricing is kept at roughly 1.5x the underlying provider's official rate, with a minimum per-request charge and free cached responses. Streamed GPT-4 replies are billed differently because they hold a connection open, and media-heavy endpoints add a modest bandwidth fee.

Beyond pure relay, API2D layers on value that a raw endpoint does not offer: response caching, retrieval-augmented search, drawing tools and an agent/reseller program that lets larger accounts create and price their own sub-keys. It is aimed at Chinese-speaking developers and enthusiasts who want frictionless, domestically payable access to frontier models. For anyone evaluating it, remember that API2D is an independent third party and not affiliated with OpenAI, Anthropic or the other model vendors.

**Pricing & Plans:** Pay-as-you-go in points (P); overall cost roughly 1.5x official provider pricing, with free cache hits and a minimum per-call charge. Recharge via WeChat, Alipay, Chinese bank cards or Stripe. Points expire 180 days after your last top-up.

- **OpenAI-compatible endpoint:** One base URL and key work with virtually any app, SDK or self-hosted chat client that supports a custom API address.
- **Multi-provider model access:** Route requests to OpenAI models, Claude, Stability diffusion, Azure TTS and vector database services from a single account.
- **Points-based billing:** Consumption is metered in points with a published multiplier, so you pay for what you use rather than a flat subscription.
- **Free response caching:** Identical request bodies return cached answers for free for 24 hours, and a header can disable caching when freshness matters.
- **Reseller and grouping tools:** Larger accounts can batch-create keys, set default models and resell access through their own pricing pages.

**Strengths:** Works with the large ecosystem of OpenAI-compatible tools out of the box; Point-based billing means low commitment and granular cost control; Response caching can make repeated queries effectively free; Built-in enhancements (search, knowledge base, drawing) go beyond a plain relay

**Limitations:** Cost runs above direct provider pricing once the multiplier applies; Points expire 180 days after the last top-up, so balances need periodic renewal; No monthly plan — heavy users must estimate spend from token usage; Pricing calculation is complex because of minimum charges and bandwidth fees

[Profile (Markdown)](https://openaitools.app/tool/api2d-com.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 API2D and Groq compare in monthly traffic?

API2D has 214 monthly visits, while Groq has 3,987,936. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

API2D has a month-over-month growth rate of -91.3%; Groq has +10%.

### How does pricing compare?

API2D: Paid. Pay-as-you-go in points (P); overall cost roughly 1.5x official provider pricing, with free cache hits and a minimum per-call charge. Recharge via WeChat, Alipay, Chinese bank cards or Stripe. Points expire 180 days after your last top-up. 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 | [OrcaRouter](https://openaitools.app/tool/orcarouter) | 975,300 | -5.2% | Freemium | One OpenAI-compatible gateway for adaptive LLM routing, guardrails, and spend control | [.md](https://openaitools.app/tool/orcarouter.md) |
| 7 | [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) |
| 8 | [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) |
| 9 | [CometAPI](https://openaitools.app/tool/cometapi) | 602,966 | +49.7% | Pay-as-you-go (credits) | One OpenAI-compatible API key for 500+ AI models | [.md](https://openaitools.app/tool/cometapi.md) |
| 10 | [LiteLLM](https://openaitools.app/tool/litellm) | 576,967 | +7.9% | Freemium, Contact for Pricing | One open-source AI gateway for 100+ LLM providers | [.md](https://openaitools.app/tool/litellm.md) |

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Source: https://openaitools.app/compare/api2d-com-vs-groq

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