# ExportTok vs OpenAI Platform

ExportTok records 2,782,229 monthly visits with +9.2% month-over-month growth and Freemium pricing. OpenAI Platform records 234,678,639 monthly visits with -9.6% growth and Paid pricing.

| Metric | [ExportTok](https://openaitools.app/tool/exporttok) | [OpenAI Platform](https://openaitools.app/tool/openai) |
| :--- | :--- | :--- |
| Website URL | https://exporttok.com | https://openai.com |
| Categories | Other | AI Models, AI API, Large Language Models (LLMs), AI Chatbot |
| Pricing Model | Freemium | Paid |
| Monthly Visits | 2,782,229 | 234,678,639 |
| MoM Growth Rate | +9.2% | -9.6% |
| Primary Market | United States | United States |
| Direct Visits | 1,199,074 | 105,101,079 |
| Review Score | 4.1 | 4.8 |
| Saved Count | 1 | 144 |
| Supported Platforms | Website | Website |

## ExportTok

ExportTok solves a very specific headache: TikTok gives creators, marketers and researchers no native way to get comment data out of the app in bulk. Screenshotting or copy-pasting hundreds of comments is slow, error-prone and impossible to analyse at scale. ExportTok takes a public video URL and returns the full comment set as a CSV or XLSX file you can sort, filter and chart in Excel, Google Sheets or a BI tool.

The workflow is deliberately minimal. You copy a video link from the TikTok app or web player, paste it into the search box on the landing page, and press export. Before downloading you can cap the number of comments, pick CSV or Excel, and switch replies on or off so long threads come through complete rather than truncated. Batch handling lets you work through a list of videos in one sitting, which matters when you are auditing a whole campaign rather than a single post.

Every exported row carries the fields analysts actually need: comment text, comment ID, user ID, username and nickname, timestamp, like count, reply count, pinned status and profile links. Because no TikTok account is connected, there is no login risk and no chance of your own account being flagged. ExportTok uses a credit system, starting with 2,000 free comments and scaling up to millions per month on the paid tiers.

**Pricing & Plans:** Freemium with a credit model. The free plan covers 2,000 comments. Paid tiers are Essential at $9.99/month (500,000 credits), Growth at $14.99/month (1,000,000 credits) and Pro at $19.99/month (3,000,000 credits), all with yearly discounts of roughly 50%.

- **One-click URL export:** Paste any public TikTok video URL and download its comment thread without installing anything or writing code.
- **CSV and Excel output:** Choose CSV for pipelines and scripts or XLSX for spreadsheets, so the file drops straight into your existing analysis workflow.
- **No-login anonymous browsing:** Comments are pulled without connecting a TikTok account, so there is no ban risk and no personal identity tied to the export.
- **Full thread detail including replies:** Each row carries comment text, IDs, username and nickname, timestamp, likes, reply count, pinned status and profile links, with nested replies optional.
- **Batch and credit-based scaling:** Queue up multiple videos at once and spend credits against plans ranging from 500,000 to 3,000,000 comments per month.

**Strengths:** Works without a TikTok login, removing any account-suspension risk; Exports structured fields including IDs, timestamps and like counts, not just raw text; Generous free tier of 2,000 comments for testing and small jobs; Batch export across multiple video URLs in a single session

**Limitations:** Only public videos with visible comments can be exported; Credit consumption scales with comment volume, so large studies get expensive quickly; TikTok's displayed comment count is not real-time, so totals may differ slightly from what the app shows

[Profile (Markdown)](https://openaitools.app/tool/exporttok.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 ExportTok and OpenAI Platform compare in monthly traffic?

ExportTok has 2,782,229 monthly visits, while OpenAI Platform has 234,678,639. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

ExportTok has a month-over-month growth rate of +9.2%; OpenAI Platform has -9.6%.

### How does pricing compare?

ExportTok: Freemium. Freemium with a credit model. The free plan covers 2,000 comments. Paid tiers are Essential at $9.99/month (500,000 credits), Growth at $14.99/month (1,000,000 credits) and Pro at $19.99/month (3,000,000 credits), all with yearly discounts of roughly 50%. 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 | [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) |
| 8 | [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) |
| 9 | [DeepInfra](https://openaitools.app/tool/deep-infra) | 457,810 | -8.9% | Paid | Delivers ultra-low-cost serverless inference for open-weight models, though with fewer enterprise orchestration tools than OpenAI. | [.md](https://openaitools.app/tool/deep-infra.md) |
| 10 | [Gumloop](https://openaitools.app/tool/gumloop) | 379,557 | -21.1% | Freemium, Paid, Contact for Pricing | Builds custom AI scraping workflows using no-code blocks, but lacks dedicated pre-built templates specifically for TikTok comments. | [.md](https://openaitools.app/tool/gumloop.md) |

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

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