# OpenAI Platform vs Zeli

OpenAI Platform records 234,678,639 monthly visits with -9.6% month-over-month growth and Paid pricing. Zeli records 56,147 monthly visits with -46.8% growth and Free pricing.

| Metric | [OpenAI Platform](https://openaitools.app/tool/openai) | [Zeli](https://openaitools.app/tool/zeli) |
| :--- | :--- | :--- |
| Website URL | https://openai.com | https://zeli.app |
| Categories | AI Models, AI API, Large Language Models (LLMs), AI Chatbot | AI Article Summarizer, AI Papers, AI News, AI Research Papers |
| Pricing Model | Paid | Free |
| Monthly Visits | 234,678,639 | 56,147 |
| MoM Growth Rate | -9.6% | -46.8% |
| Primary Market | United States | China |
| Direct Visits | 105,101,079 | 39,950 |
| Review Score | 4.8 | 4.3 |
| Saved Count | 144 | 0 |
| Supported Platforms | Website | Website |

## 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)

## Zeli

Zeli solves the oldest problem with Hacker News: the front page is a list of headlines, and deciding which of the thirty stories deserves your attention means opening all of them. Zeli mirrors that front page, attaches an AI-written summary and a representative key quote to each story, and translates everything into seven languages. The ranking tracks news.ycombinator.com and refreshes every fifteen minutes, so the feed stays current without you checking the orange site directly.

The structure is built around permanent, citable pages. Every story gets a URL keyed to its Hacker News item id — zeli.app/story/{id} in English, or zeli.app/{lang}/story/{id} for the other languages — carrying the translated title, the original title, a summary, a key quote and translated highlights from the discussion. Every day also gets a permanent archive of the complete front page, so a digest can be retrieved after that day has scrolled away. Alongside the news feed, Zeli digests HuggingFace's daily AI papers with translated titles and summaries, which makes it useful for keeping up with research as well as with developer chatter.

Content languages are English, Chinese, Japanese, Korean, German, Spanish and Russian, with English served at the root and no language prefix. There is no account, no API key and no cost; an RSS feed bundles one item per day instead of flooding your reader, and the site can be installed as a PWA. For programmatic use, Zeli also publishes plain-markdown daily digests, JSON endpoints and an RSS feed aimed at feeds and AI agents. It requires no JavaScript and is served from an edge cache, so it is unusually light to read.

**Pricing & Plans:** Free. No account, no API key and no payment; the full site, the RSS feed and the machine-readable digests are all available at no cost.

- **AI summaries on every Hacker News story:** Each story carries a short summary generated from the linked article plus a standout key quote, so you can judge relevance before clicking through.
- **Seven-language translation:** The whole feed — titles, summaries and top comment highlights — is available in English, Chinese, Japanese, Korean, German, Spanish and Russian.
- **Daily front-page archive:** Every day gets a permanent page containing every story that hit the front page, retrievable long after the feed has moved on.
- **HuggingFace AI paper digests:** Daily AI papers are surfaced with translated titles and AI summaries, making Zeli a research reader as well as a news reader.
- **Machine-readable outputs:** One-item-per-day RSS feeds, plain-markdown digests, JSON endpoints and a sitemap make Zeli easy to pipe into readers or AI agents.

**Strengths:** Turns the Hacker News front page into a fast, scannable daily brief; Seven languages with genuinely translated titles, summaries and comment highlights; Permanent, citable story and daily archive pages that never expire; Free, no signup, no API key, installable as a PWA

**Limitations:** Summaries are machine-generated and are not fact-checked by a human; Real summaries exist only in seven languages — other locales fall back to English; It covers Hacker News and HuggingFace papers only, not your own reading list or arbitrary URLs; Keys off Hacker News ranking, so niche topics that never hit the front page are not included

[Profile (Markdown)](https://openaitools.app/tool/zeli.md)

## Frequently Asked Questions

### How do OpenAI Platform and Zeli compare in monthly traffic?

OpenAI Platform has 234,678,639 monthly visits, while Zeli has 56,147. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

OpenAI Platform has a month-over-month growth rate of -9.6%; Zeli has -46.8%.

### How does pricing compare?

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. Zeli: Free. Free. No account, no API key and no payment; the full site, the RSS feed and the machine-readable digests are all available at no cost.

## 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 | [Readray (formerly Lilys AI)](https://openaitools.app/tool/lilys-ai) | 967,113 | -9.7% | Freemium | A proactive AI reading lens for papers, videos, and web pages | [.md](https://openaitools.app/tool/lilys-ai.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/openai-vs-zeli

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