# Numerous.ai vs OpenAI Platform

Numerous.ai records 128,828 monthly visits with -17% month-over-month growth and Freemium, Free Trial, Paid pricing. OpenAI Platform records 234,678,639 monthly visits with -9.6% growth and Paid pricing.

| Metric | [Numerous.ai](https://openaitools.app/tool/numerous) | [OpenAI Platform](https://openaitools.app/tool/openai) |
| :--- | :--- | :--- |
| Website URL | https://numerous.ai | https://openai.com |
| Categories | AI Spreadsheet, Excel AI, AI Excel Formula Generator, AI Writing Assistants | AI Models, AI API, Large Language Models (LLMs), AI Chatbot |
| Pricing Model | Freemium, Free Trial, Paid | Paid |
| Monthly Visits | 128,828 | 234,678,639 |
| MoM Growth Rate | -17% | -9.6% |
| Primary Market | United States | United States |
| Direct Visits | 32,733 | 105,101,079 |
| Review Score | 4.5 | 4.8 |
| Saved Count | 4 | 144 |
| Supported Platforms | Website | Website |

## Numerous.ai

Numerous.ai targets a very practical gap: most teams work in spreadsheets, but most AI chat tools live in a separate browser tab. The add-on closes that gap by exposing AI as a spreadsheet function. You type a prompt in one cell, reference other cells in it, and drag the result down a column — the AI then returns a distinct answer for every row, whether that is a rewritten product description, a categorised support ticket or a normalised country name.

Because it is built for bulk use, the product emphasises cost control and reuse. Identical queries are cached rather than re-run, which keeps token consumption down across large sheets, and the pricing is expressed in characters of input and output per person rather than opaque credits. There is no need to hold your own API keys — the service manages provider access, and a single plan covers everyone on the team.

The typical audience is operations, marketing and research teams. Marketers generate ad copy variants, keyword lists and campaign structures at scale; researchers summarise, extract and classify survey or social responses; data teams clean and standardise messy inputs; product people prototype prompts and share results. Setup is a one-click add-on install for both Google Sheets and Excel, and support is handled by email from a US-based team.

**Pricing & Plans:** Paid subscription with a paid trial: 7-day trial for $1, then a per-person plan that includes 1,000,000 characters of ChatGPT input and output per person, usable in both Google Sheets and Excel. Annual billing saves around 57%. Cancel anytime and keep remaining tokens; custom plans available on request.

- **AI as a spreadsheet formula:** Use AI in any cell through a simple function — no API keys, no external chat window, no copy-paste between tabs.
- **Bulk processing with caching:** Drag a single prompt down a column to process thousands of rows, with identical queries cached so you are not charged twice for the same work.
- **Summarisation and classification:** Summarise, rewrite, extract and classify long bodies of text such as surveys, articles or social posts into clean structured columns.
- **Marketing content at scale:** Generate ad copy, keyword lists, SEO content and campaign structures directly from your sheet's own data.
- **Team-friendly plans and support:** One plan covers the whole team, results are shareable within the sheet, and priority email support is included.

**Strengths:** Works inside the tools teams already use, so no new workflow to learn; No API keys or provider accounts to set up; Query caching keeps bulk runs cost-efficient, especially across thousands of rows; One plan covers the whole team in both Google Sheets and Excel

**Limitations:** Requires a paid trial and subscription rather than a permanent free tier; Usage is capped by character allowance, which heavy bulk users can exhaust; It depends on third-party AI providers, so model behaviour and availability are outside your control

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

Numerous.ai has 128,828 monthly visits, while OpenAI Platform has 234,678,639. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

Numerous.ai has a month-over-month growth rate of -17%; OpenAI Platform has -9.6%.

### How does pricing compare?

Numerous.ai: Freemium, Free Trial, Paid. Paid subscription with a paid trial: 7-day trial for $1, then a per-person plan that includes 1,000,000 characters of ChatGPT input and output per person, usable in both Google Sheets and Excel. Annual billing saves around 57%. Cancel anytime and keep remaining tokens; custom plans available on request. 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 | [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) |
| 8 | [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) |
| 9 | [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) |
| 10 | [GPT Workspace](https://openaitools.app/tool/gpt-workspace-1) | 431,507 | +43.8% | Freemium, Free Trial, Paid | Bring ChatGPT, Claude and Gemini into Google Docs, Sheets, Slides and Gmail | [.md](https://openaitools.app/tool/gpt-workspace-1.md) |

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

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