# Elephas vs OpenAI Platform

Elephas records 76,647 monthly visits with -14.7% month-over-month growth and Freemium pricing. OpenAI Platform records 234,678,639 monthly visits with -9.6% growth and Paid pricing.

| Metric | [Elephas](https://openaitools.app/tool/elephas) | [OpenAI Platform](https://openaitools.app/tool/openai) |
| :--- | :--- | :--- |
| Website URL | https://elephas.app/?affiliate_id=778477267 | https://openai.com |
| Categories | AI Assistant, AI Knowledge Base, AI Writing Assistants, AI Summarizer | AI Models, AI API, Large Language Models (LLMs), AI Chatbot |
| Pricing Model | Freemium | Paid |
| Monthly Visits | 76,647 | 234,678,639 |
| MoM Growth Rate | -14.7% | -9.6% |
| Primary Market | United States | United States |
| Direct Visits | 11,316 | 105,101,079 |
| Review Score | 4.4 | 4.8 |
| Saved Count | 4 | 144 |
| Supported Platforms | Website | Website |

## Elephas

Elephas is built for the kind of work that should never be pasted into a general chatbot: contracts, client files, policies, research notes and reports. Instead of uploading documents to a cloud service, you point Elephas at files or entire folders on your machine. It reads and indexes them locally, then lets you ask questions in everyday language. Every answer comes with a source reference, so you can open the quoted passage and check it against the original page, slide or sheet.

The privacy model is the core of the product. Documents, the search index and your chats stay on your computer in an encrypted database. When you ask a question, personal details such as names, emails and phone numbers are masked before the request leaves the device, and you can inspect exactly what was hidden under each answer. You also choose where answers are generated - the default Elephas gateway, your own API key for OpenAI, Claude or Gemini, or a local model that runs entirely on your machine with nothing sent anywhere.

Elephas supports documents in English, German, Spanish, French, Japanese and Chinese, with cross-language search, and ships as a macOS and Windows desktop app. A team tier lets an organisation put shared contracts and policies into a common Brain with role-based access, private per-person chats and end-to-end encrypted sync. Pricing is a 7-day free trial with no card required, followed by individual plans and a Teams option at $29 per person per month with no minimum team size.

**Pricing & Plans:** Free 7-day trial with no credit card required. After the trial, individual subscription plans apply, and Elephas Teams is priced at $29 per person per month with no minimum team size.

- **Local document indexing:** Files, folders, PDFs, Word documents, spreadsheets, slides and scans are read and indexed on your own computer rather than uploaded to a third-party service.
- **Answers with sources:** Every response cites the underlying file plus the page, slide or sheet it came from, so you can open and verify the passage yourself.
- **Personal detail masking:** Names, email addresses and phone numbers are hidden before a question leaves your device, and you can view exactly what was masked under each answer.
- **Choice of AI engine:** Use the default Elephas gateway, plug in your own OpenAI, Claude or Gemini API key, or download a local model so answers are generated on your computer with nothing sent.
- **Shared team Brains:** Invite teammates to a common Brain with manager, contributor or reader roles, keep individual chats private, and sync through end-to-end encryption.

**Strengths:** Documents, index and chats stay on your own machine in an encrypted local database; Every answer cites the exact file and page, making verification fast; You choose the AI backend, including fully local generation with nothing sent; Cross-language search across six languages without a language setting

**Limitations:** Desktop-only: there is no browser version, so you need macOS or Windows; Answers still travel to a cloud model unless you pick local generation, and cloud requests are not end-to-end encrypted; Automatic masking of personal details can miss things, so answers should still be reviewed

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

Elephas has 76,647 monthly visits, while OpenAI Platform has 234,678,639. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

Elephas has a month-over-month growth rate of -14.7%; OpenAI Platform has -9.6%.

### How does pricing compare?

Elephas: Freemium. Free 7-day trial with no credit card required. After the trial, individual subscription plans apply, and Elephas Teams is priced at $29 per person per month with no minimum team size. 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 | [Notion AI](https://openaitools.app/tool/notion-ai) | 13,460,455 | +13.4% | Freemium, Paid, Contact for Pricing | Your always-on AI teammate inside the Notion workspace | [.md](https://openaitools.app/tool/notion-ai.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 | [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) |
| 8 | [Jenni](https://openaitools.app/tool/jenni) | 1,498,133 | +5.2% | Freemium | The AI workspace where researchers read, write, and cite with every claim traceable to its source | [.md](https://openaitools.app/tool/jenni.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/elephas-vs-openai

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