# Dubble vs OpenAI Platform

Dubble records 14,661 monthly visits with -48% month-over-month growth and Freemium, Free Trial, Contact for Pricing pricing. OpenAI Platform records 234,678,639 monthly visits with -9.6% growth and Paid pricing.

| Metric | [Dubble](https://openaitools.app/tool/dubble) | [OpenAI Platform](https://openaitools.app/tool/openai) |
| :--- | :--- | :--- |
| Website URL | https://dubble.so | https://openai.com |
| Categories | AI SOP, AI Tutorial, AI Documents Generator, AI Knowledge Base | AI Models, AI API, Large Language Models (LLMs), AI Chatbot |
| Pricing Model | Freemium, Free Trial, Contact for Pricing | Paid |
| Monthly Visits | 14,661 | 234,678,639 |
| MoM Growth Rate | -48% | -9.6% |
| Primary Market | Brazil | United States |
| Direct Visits | 6,814 | 105,101,079 |
| Review Score | 4.2 | 4.8 |
| Saved Count | 2 | 144 |
| Supported Platforms | Website | Website |

## Dubble

Dubble's premise is simple: documenting a process is slow and boring, so it usually never happens. The tool flips that by capturing what you do as you do it. You hit record and work normally through the flow — clicking, typing, navigating — and Dubble converts those actions into a structured guide with numbered steps, screenshots and short descriptions. No separate screen recorder, screenshot tool and word processor needed.

Editing is deliberately lightweight. Within seconds you can rewrite step descriptions, add annotations, blur or redact sensitive content, or swap in a completely different screenshot pulled from the recording. Finished guides are shared with one click or co-edited by teammates who can record steps into the same document. Because the output is rich text or Markdown, a guide pastes cleanly into Notion, Confluence, Google Docs, Trainual or any knowledge base that accepts formatted content.

The bigger idea is maintenance. Processes change, so Dubble lets you revisit a guide later and record fresh steps or pull new screenshots from old recordings instead of starting from scratch. It ships as a Chrome extension and is free to use, with paid plans for teams that need more advanced sharing and management. Dubble is built by Paperform, the form-building company.

**Pricing & Plans:** Free to use for individuals, with paid plans on top for teams. Pricing tiers and plan comparisons are published on the Dubble pricing page; a Chrome extension install is all that is needed to start.

- **Record-to-guide capture:** Press record, perform the process normally, and Dubble generates the step-by-step document automatically as you go.
- **Fast inline editing:** Edit descriptions, add markup, redact content or replace screenshots in seconds, including picking new shots from the original recording.
- **One-click sharing and co-editing:** Share a finished guide with a link or invite teammates to edit and add their own recorded steps to the same document.
- **Paste anywhere:** Export rich text or Markdown that drops straight into Notion, Confluence, Google Docs, Trainual and similar knowledge bases.
- **Living docs:** Return to an outdated guide, record new steps or reuse old recordings so documentation stays current without a rewrite.

**Strengths:** Guides are generated automatically while you work, with no manual screenshotting; Editing and redacting is fast enough that guides stay up to date; Output pastes cleanly into Notion, Confluence, Google Docs and other tools; Free to start as a Chrome extension

**Limitations:** Best suited to browser-based processes; desktop-only workflows are harder to capture; Advanced team management sits behind paid plans; Guides are visual-first, so heavily text-only documentation may feel constrained

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

Dubble has 14,661 monthly visits, while OpenAI Platform has 234,678,639. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

Dubble has a month-over-month growth rate of -48%; OpenAI Platform has -9.6%.

### How does pricing compare?

Dubble: Freemium, Free Trial, Contact for Pricing. Free to use for individuals, with paid plans on top for teams. Pricing tiers and plan comparisons are published on the Dubble pricing page; a Chrome extension install is all that is needed to start. 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 | [Kommodo](https://openaitools.app/tool/kommodo) | 1,033,878 | +4.9% | Freemium | Screen recording that writes the documentation for you | [.md](https://openaitools.app/tool/kommodo.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 | [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) |

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

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