# API2D vs OpenAI Platform

API2D records 214 monthly visits with -91.3% month-over-month growth and Paid pricing. OpenAI Platform records 234,678,639 monthly visits with -9.6% growth and Paid pricing.

| Metric | [API2D](https://openaitools.app/tool/api2d-com) | [OpenAI Platform](https://openaitools.app/tool/openai) |
| :--- | :--- | :--- |
| Website URL | https://www.api2d.com | https://openai.com |
| Categories | AI API, Large Language Models (LLMs), AI Developer Tools | AI Models, AI API, Large Language Models (LLMs), AI Chatbot |
| Pricing Model | Paid | Paid |
| Monthly Visits | 214 | 234,678,639 |
| MoM Growth Rate | -91.3% | -9.6% |
| Primary Market | Taiwan | United States |
| Direct Visits | 86 | 105,101,079 |
| Review Score | 3.8 | 4.8 |
| Saved Count | 4 | 144 |
| 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)

## OpenAI Platform

While ChatGPT serves end users, openai.com and the OpenAI Developer Platform (developers.openai.com) provide the foundational API, SDKs, and enterprise infrastructure powering thousands of production AI applications worldwide. In late 2026, OpenAI's API catalog is anchored by the GPT-6 and GPT-6.1 model suite—all featuring a 1.05-million-token context window and up to 128K output tokens. The lineup spans GPT-6 Astra for frontier reasoning and mission-critical research, GPT-6.1 Sol for near-Astra intelligence at one-fifth the price, GPT-6.1 Terra for fast visual reasoning and computer use, and GPT-6 Luna for ultra-high-volume, low-latency tasks, alongside specialized models like `gpt-5.3-codex` and `gpt-6-astra-law`.

The OpenAI Platform has evolved well beyond basic chat completion endpoints. Through the unified `v1/responses` API, developers can orchestrate stateful multi-step agents equipped with built-in server-side tools—including live web search, vector file search, code interpreter sandboxes, and GUI computer use—without stitching together external orchestration frameworks. Every flagship model supports configurable reasoning effort (`none`, `low`, `medium`, `high`, `xhigh`, and `max`), strict JSON schema Structured Outputs, and multimodal image/audio inputs, while `gpt-live-1` powers per-second billed speech-to-speech voice agents.

OpenAI bills API usage on a transparent consumption model scaled across usage tiers (Build, Launch, and Grow, scaling up to 40M+ tokens per minute). In 2026, aggressive price cuts on the 6.x generation dropped entry-level intelligence on GPT-6 Luna to $0.10 per million input tokens and $0.50 per million output tokens, while GPT-6.1 Sol runs at $2/$10 and flagship GPT-6 Astra sits at $10/$50. Engineering teams can cut spend by 90% on repeated context using automatic Prompt Caching, save 50% on asynchronous workloads via the Batch API, and enforce regional data residency with a 10% compliance uplift.

**Pricing & Plans:** Usage-based pay-per-token API billing: GPT-6 Astra at $10/1M input and $50/1M output tokens; GPT-6.1 Sol at $2/1M input and $10/1M output; GPT-6.1 Terra at $1/1M input and $5/1M output; GPT-6 Luna at $0.10/1M input and $0.50/1M output; GPT-Live-1 voice at $0.05/minute; 90% discount on cached inputs and 50% off via Batch API.

- **GPT-6 & GPT-6.1 Model Lineup with 1.05M Context:** Spanning GPT-6 Astra ($10/$50 per MTok), GPT-6.1 Sol ($2/$10), GPT-6.1 Terra ($1/$5), and GPT-6 Luna ($0.10/$0.50), all with a 1,050,000-token context window and 128K max output.
- **Configurable Reasoning Effort Controls:** Tune thinking token budgets per API request across six granularity levels (`none`, `low`, `medium`, `high`, `xhigh`, `max`) to balance latency, accuracy, and cost.
- **Responses API & Native Computer Use Tools:** Combine model inference with hosted web search, file search, function calling, and autonomous GUI computer-use actions in a single stateful API call.
- **GPT-Live-1 Realtime Voice API:** Build ultra-low-latency multimodal voice agents billed per second ($0.05/minute) without rounding up to whole minutes.
- **90% Prompt Caching Discount & Batch API:** Cached input tokens bill at just 10% of standard input rates, while asynchronous 24-hour Batch API jobs cut both input and output token costs by 50%.

**Strengths:** 100-fold cost flexibility from GPT-6 Luna ($0.10/$0.50 per 1M tokens) up to frontier GPT-6 Astra ($10/$50 per 1M tokens); Unified 1.05M-token context window and 128K output limit across the entire flagship GPT-6 and GPT-6.1 family; 90% discount on cached input tokens and 50% Batch API discount dramatically reduce production inference bills; Industry-standard SDKs, Structured Outputs, and built-in Responses API tools minimize boilerplate agent code

**Limitations:** Long-context requests exceeding the standard window threshold trigger roughly 2x higher per-token billing rates; Flagship GPT-6 Astra ($10 input / $50 output per 1M tokens) is significantly more expensive than Claude Opus 5.5 ($4/$20) and Grok 4.7 ($2/$6); Regional data residency endpoints incur a 10% price uplift on models released after March 2026

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

## Frequently Asked Questions

### How do API2D and OpenAI Platform compare in monthly traffic?

API2D has 214 monthly visits, while OpenAI Platform has 234,678,639. 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%; OpenAI Platform has -9.6%.

### 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. OpenAI Platform: Paid. Usage-based pay-per-token API billing: GPT-6 Astra at $10/1M input and $50/1M output tokens; GPT-6.1 Sol at $2/1M input and $10/1M output; GPT-6.1 Terra at $1/1M input and $5/1M output; GPT-6 Luna at $0.10/1M input and $0.50/1M output; GPT-Live-1 voice at $0.05/minute; 90% discount on cached inputs and 50% off via Batch API.

## Alternatives

| # | Tool Name | Monthly Visits | MoM Growth Rate | Pricing Model | Summary | Profile (Markdown) |
| :--- | :--- | :--- | :--- | :--- | :--- | :--- |
| 1 | [Google AI Studio](https://openaitools.app/tool/google-ai-studio) | 112,620,020 | +2% | Freemium | Provides direct API access to Google's Gemini models with generous free prototyping tiers, but lacks OpenAI's ecosystem breadth. | [.md](https://openaitools.app/tool/google-ai-studio.md) |
| 2 | [Qwen 4 (Alibaba Qwen4)](https://openaitools.app/tool/qwen-4) | 35,101,353 | -6.2% | Freemium | Alibaba Cloud's 4th-generation multimodal AI assistant and foundation model lineup (Qwen4-Max, Qwen4-Plus, Qwen4-Flash & open-weight Qwen4-27B) with 1M context. | [.md](https://openaitools.app/tool/qwen-4.md) |
| 3 | [OpenRouter](https://openaitools.app/tool/openrouter-ai) | 19,941,437 | -6.2% | Paid | Unifies hundreds of third-party models under a single API key, offering greater model choice than OpenAI's curated catalog. | [.md](https://openaitools.app/tool/openrouter-ai.md) |
| 4 | [BigModel](https://openaitools.app/tool/bigmodel) | 5,700,686 | -17% | Freemium | Provides developer APIs for Zhipu AI's proprietary GLM models, serving as an alternative enterprise foundation model stack. | [.md](https://openaitools.app/tool/bigmodel.md) |
| 5 | [fal.ai](https://openaitools.app/tool/fal-ai) | 3,093,684 | -3.7% | Paid, pay-as-you-go usage-based pricing | Optimized for lightning-fast serverless execution of generative media and image models, rather than general text LLMs. | [.md](https://openaitools.app/tool/fal-ai.md) |
| 6 | [Together AI](https://openaitools.app/tool/together-ai) | 1,645,930 | +64.9% | Freemium, Paid | Specializes in high-performance serverless inference and dedicated GPU clusters for open-source models, bypassing closed commercial restrictions. | [.md](https://openaitools.app/tool/together-ai.md) |
| 7 | [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) |
| 8 | [Replicate AI](https://openaitools.app/tool/replicate-ai) | 904,038 | -8.4% | Paid | Focuses heavily on running and fine-tuning open-source vision and language models via simple APIs, unlike OpenAI's hosted closed models. | [.md](https://openaitools.app/tool/replicate-ai.md) |
| 9 | [Atlas Cloud](https://openaitools.app/tool/atlas-cloud) | 777,031 | -16.4% | Paid | One OpenAI-compatible API for 500+ image, video, audio, and LLM models | [.md](https://openaitools.app/tool/atlas-cloud.md) |
| 10 | [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) |

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

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