# Clean vs OpenAI Platform

Clean records 25,981 monthly visits with -44.9% month-over-month growth and Contact for Pricing pricing. OpenAI Platform records 234,678,639 monthly visits with -9.6% growth and Paid pricing.

| Metric | [Clean](https://openaitools.app/tool/clean) | [OpenAI Platform](https://openaitools.app/tool/openai) |
| :--- | :--- | :--- |
| Website URL | https://tryclean.ai | https://openai.com |
| Categories | AI Code Assistant, AI Agent, AI Developer Tools, AI Copilot | AI Models, AI API, Large Language Models (LLMs), AI Chatbot |
| Pricing Model | Contact for Pricing | Paid |
| Monthly Visits | 25,981 | 234,678,639 |
| MoM Growth Rate | -44.9% | -9.6% |
| Primary Market | United States | United States |
| Direct Visits | 18,763 | 105,101,079 |
| Review Score | 4.1 | 4.8 |
| Saved Count | 0 | 144 |
| Supported Platforms | Website | Website |

## Clean

Clean positions itself as the opposite of a static lead list. Instead of exporting thousands of stale rows filtered by industry and headcount, it starts from what companies actually do: a funded building loan, a closed permit, an incoming shipment of machinery. Each of those records is dated, sourced and linked, and Clean reads them together until they add up to a reason to reach out now. The product then points to the person who owns that decision, with email and phone verified.

The platform is designed to work at two levels. Human sellers get a prospects workspace where an account's signals, employers, warm paths and campaign state sit side by side. At the same time, Clean exposes itself as tooling — an API and an MCP server — so agents in Claude, Codex or a homegrown stack can pull the same signals and launch campaigns without a human copying data between systems. Replies route back to the same place either way.

Clean leans heavily into verticals where physical-world events precede purchases: manufacturing and industrial software, healthcare, legal tech, fintech, insurance and developer infrastructure. Access is currently sales-led: the site funnels visitors to a demo request rather than listing public self-serve pricing, and it advertises traction among Y Combinator-backed startups.

**Pricing & Plans:** No public self-serve pricing tiers are listed; the site routes visitors to a "Request a demo" flow, suggesting quote-based, sales-assisted plans. Verify current terms directly with the vendor.

- **1,000+ live signal sources:** Continuous monitoring of permits, equipment shipments, filings, press releases, customs records and hiring posts, with every record dated and attributed.
- **Reason-to-buy synthesis:** Clean groups separate records at one company and reads them in date order to produce a single, explainable reason why the account is worth contacting now.
- **Verified decision-maker contacts:** For each qualified company, Clean names the person who owns the decision — for example a plant manager or VP of Operations — with email and phone verified.
- **Agent-ready API and MCP:** Hand prospects and campaign triggers to agents in Claude or Codex, or wire the API and MCP server into an internal stack, with replies returning to one place.
- **Company context and warm paths:** Open any prospect to see supporting evidence, the contact window, and colleagues who can introduce you.

**Strengths:** Signals come with dated, checkable evidence rather than a single opaque score; Purpose-built for agent workflows through API and MCP, not just a dashboard; Strong fit for industries with physical or regulatory events before a purchase; Combines company signals with verified decision-maker contact data

**Limitations:** No public pricing published, so evaluation requires a sales conversation; Effectiveness depends on signal coverage in your specific industry and geography; Requires connected inbox and CRM data to show full thread history

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

Clean has 25,981 monthly visits, while OpenAI Platform has 234,678,639. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

Clean has a month-over-month growth rate of -44.9%; OpenAI Platform has -9.6%.

### How does pricing compare?

Clean: Contact for Pricing. No public self-serve pricing tiers are listed; the site routes visitors to a "Request a demo" flow, suggesting quote-based, sales-assisted plans. Verify current terms directly with the vendor. 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 | [Cursor](https://openaitools.app/tool/cursor) | 23,297,751 | +8.4% | Freemium | The AI coding agent for building ambitious software | [.md](https://openaitools.app/tool/cursor.md) |
| 4 | [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) |
| 5 | [Google Antigravity](https://openaitools.app/tool/google-antigravity) | 16,054,109 | +8.1% | Freemium | Google's agent-first development platform for building and shipping software with AI agents | [.md](https://openaitools.app/tool/google-antigravity.md) |
| 6 | [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) |
| 7 | [Apify](https://openaitools.app/tool/apify) | 4,147,762 | +3.9% | Freemium, Contact for Pricing | Run thousands of ready-made web scrapers and AI agents from one cloud platform | [.md](https://openaitools.app/tool/apify.md) |
| 8 | [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) |
| 9 | [Command Code](https://openaitools.app/tool/command-code) | 2,358,177 | -12.1% | Freemium, Contact for Pricing | The coding agent that learns your coding taste | [.md](https://openaitools.app/tool/command-code.md) |
| 10 | [Attio](https://openaitools.app/tool/attio) | 1,652,928 | -4.2% | Free Trial, Contact for Pricing | The AI-native CRM for agentic revenue teams | [.md](https://openaitools.app/tool/attio.md) |

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

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