# OpenAI Platform vs taggingBox

OpenAI Platform records 234,678,639 monthly visits with -9.6% month-over-month growth and Paid pricing. taggingBox records 0 monthly visits with — growth and Freemium pricing.

| Metric | [OpenAI Platform](https://openaitools.app/tool/openai) | [taggingBox](https://openaitools.app/tool/taggingbox) |
| :--- | :--- | :--- |
| Website URL | https://openai.com | https://chromewebstore.google.com/detail/taggingbox/gkpjklbfgfdfcnlplkjeamjlcahnicbc |
| Categories | AI Models, AI API, Large Language Models (LLMs), AI Chatbot | AI Knowledge Management, AI Browsers, AI API |
| Pricing Model | Paid | Freemium |
| Monthly Visits | 234,678,639 | 0 |
| MoM Growth Rate | -9.6% | — |
| Primary Market | United States | Global |
| Direct Visits | 105,101,079 | 0 |
| Review Score | 4.8 | 4.3 |
| Saved Count | 144 | 0 |
| Supported Platforms | Website | Browser Extension |

## 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)

## taggingBox

Most bookmarking tools capture a URL and leave the actual insight buried somewhere on the page. taggingBox instead works at the sentence level: you drag over the passage that matters, and the extension files that exact snippet into a box you define. Boxes act as lightweight projects, so research for one client, one report, or one idea can live together instead of accumulating in a single undifferentiated list. Searching later happens by tag rather than by remembering where you read something.

The tagging layer is what separates it from a plain clipper. taggingBox uses the GPT-4 API combined with its own algorithm to read the context of the saved passage and propose tags, which makes the difference between a messy archive and one that stays navigable as it grows. Because AI does the first pass, consistent tag naming is easier to maintain, and the extension supports both Korean and English source pages, which suits bilingual knowledge workers.

The developer states that browsing history and personal data are not collected. The extension is free to use, with team collaboration and advanced features offered through the taggingbox.im service, which the listing points to for organizations that need shared boxes.

**Pricing & Plans:** Free. The Chrome Web Store listing offers the extension at no cost and directs users to taggingbox.im for team collaboration and advanced features; those paid tiers are handled on that service rather than the listing.

- **Box-based archiving:** Drag any sentence from an article, blog, or document and it is saved instantly into the box you choose, keeping related material together.
- **GPT-4 tag recommendations:** The combined GPT-4 API and proprietary algorithm proposes tags matched to the context of each saved snippet.
- **Korean and English support:** The extension is built to work on both Korean and English web pages, so mixed-language research stays in one system.
- **Tag-driven retrieval:** Find saved material by tag instead of hunting through browser bookmarks or a long uncategorized list.
- **Privacy-conscious design:** The developer states that browsing history and personal data are not collected by the extension.

**Strengths:** Sentence-level clipping captures the actual insight rather than just a link; GPT-4-backed tag suggestions keep a growing archive searchable; Boxes map naturally onto projects, clients, or topics; Free extension with Korean and English page support

**Limitations:** Small user base relative to mainstream note-taking tools, so fewer community resources exist; Team collaboration and advanced features require the separate taggingbox.im service; Effectiveness depends on you adopting consistent tag and box naming habits

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

## Frequently Asked Questions

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

OpenAI Platform has 234,678,639 monthly visits, while taggingBox has 0. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

OpenAI Platform has a month-over-month growth rate of -9.6%; taggingBox has —.

### How does pricing compare?

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. taggingBox: Freemium. Free. The Chrome Web Store listing offers the extension at no cost and directs users to taggingbox.im for team collaboration and advanced features; those paid tiers are handled on that service rather than the listing.

## 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 | [Merlin AI](https://openaitools.app/tool/merlin-ai) | 1,382,634 | +13.1% | Freemium | One-click AI assistant for browsing, writing and research | [.md](https://openaitools.app/tool/merlin-ai.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 | [Glasp](https://openaitools.app/tool/glasp) | 889,564 | -14.1% | Freemium | Highlight the web, learn in public, and build your AI clone | [.md](https://openaitools.app/tool/glasp.md) |
| 10 | [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) |

---
Source: https://openaitools.app/compare/openai-vs-taggingbox

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