# Dokko vs OpenAI Platform

Dokko records 2,040 monthly visits with -45.3% 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 | [Dokko](https://openaitools.app/tool/dokko) | [OpenAI Platform](https://openaitools.app/tool/openai) |
| :--- | :--- | :--- |
| Website URL | https://dokko.ai | https://openai.com |
| Categories | AI Chatbot, No-Code&Low-Code, AI Knowledge Management, AI Knowledge Base | AI Models, AI API, Large Language Models (LLMs), AI Chatbot |
| Pricing Model | Contact for Pricing | Paid |
| Monthly Visits | 2,040 | 234,678,639 |
| MoM Growth Rate | -45.3% | -9.6% |
| Primary Market | United States | United States |
| Direct Visits | 802 | 105,101,079 |
| Review Score | 4.3 | 4.8 |
| Saved Count | 0 | 144 |
| Supported Platforms | Website | Website |

## Dokko

Dokko began as a no-code way to turn documents into a chatbot and has grown into a full document AI platform with an action layer. Its core claim is simple: where generic assistants slice a file into fragments and search those fragments in isolation, Dokko reads each document end to end, keeps the relationships between sections intact, and grounds every answer in the source.

That distinction matters most for legal, compliance, technical, and support teams, where an answer that is almost right is functionally wrong. Dokko handles PDFs, Word files, spreadsheets, scanned pages, and web pages, and it processes charts, tables, and diagrams as well as prose. Retrieval settings such as chunking, enrichment, and ranking are configurable per knowledge base, so teams can tune precision rather than accept defaults.

The second half of the product is about what happens after the answer. Skills execute in-conversation actions tied to your knowledge, such as returning a structured contact card, declining competitor questions, or running a calculation on a number pulled from a spec sheet. Agents run multi-step workflows in the systems your team lives in, reading an incoming contract, pulling liability clauses, posting a redline draft to Slack, and filing the ticket in Jira. Because the same engine powers both internal assistants and a customer-facing widget, one deployment can serve employees and end customers, and borderline questions can be escalated to a human when confidence drops.

**Pricing & Plans:** Published plans start at $99/month for Starter and $199/month for Pro, with monthly allowances for pages, tokens, and tool actions. At each meter you choose whether usage pauses or continues at a published overage rate, and a free trial is available.

- **Full-document understanding with citations:** Dokko reads entire documents rather than isolated fragments, handles charts, tables, and diagrams, and attaches document-level citations to every answer so results stand up in regulated work.
- **Skills and Agents for real action:** Skills perform in-conversation actions tied to a knowledge base, while Agents run multi-step workflows through MCP, OpenAPI, or Composio connections to tools like Slack, Jira, and Zendesk.
- **Hundreds of business tool integrations:** Connect Slack, Jira, Zendesk, Notion, Workday, BambooHR, and many others through one OAuth flow, then make the connections available to every Skill and Agent on your team.
- **Model choice with no lock-in:** Pick Anthropic Claude, OpenAI GPT, Google Gemini, Meta Llama, or Amazon Nova per agent, with bring-your-own-key support for teams that already have model contracts.
- **Configurable retrieval and customer-facing embed:** Tune chunking, enrichment, and retrieval ranking per knowledge base, add role-based access for internal teams, and deploy a branded customer-facing widget with one script tag.

**Strengths:** Reads whole documents rather than fragments, with document-level citations; Model-agnostic with bring-your-own-key support; Combines retrieval with real action through Skills and Agents; One engine covers internal assistants and customer-facing chatbots

**Limitations:** Pricing scales by pages, tokens, and tool actions, which complicates cost forecasting; Value depends on connecting your tools and configuring each knowledge base; Advanced agent workflows assume some technical comfort with MCP or OpenAPI

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

Dokko has 2,040 monthly visits, while OpenAI Platform has 234,678,639. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

Dokko has a month-over-month growth rate of -45.3%; OpenAI Platform has -9.6%.

### How does pricing compare?

Dokko: Contact for Pricing. Published plans start at $99/month for Starter and $199/month for Pro, with monthly allowances for pages, tokens, and tool actions. At each meter you choose whether usage pauses or continues at a published overage rate, and a free trial is available. 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 | [Kimi AI](https://openaitools.app/tool/kimi-chat) | 19,632,261 | -23.4% | Free | Moonshot AI's long-context assistant for research, coding, and agentic work | [.md](https://openaitools.app/tool/kimi-chat.md) |
| 5 | [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) |
| 6 | [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) |
| 7 | [Harvey](https://openaitools.app/tool/harvey-ai) | 1,832,998 | +26.1% | Contact for Pricing | Domain-specific AI for law firms, in-house legal teams, and professional services | [.md](https://openaitools.app/tool/harvey-ai.md) |
| 8 | [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) |
| 9 | [ChatPDF](https://openaitools.app/tool/chatpdf) | 1,044,477 | -3.7% | Freemium | Chat with any PDF, video, or website and get cited answers in seconds | [.md](https://openaitools.app/tool/chatpdf.md) |
| 10 | [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) |

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

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