# Hooper vs OpenAI Platform

Hooper records 12,667 monthly visits with -26.5% month-over-month growth and Freemium pricing. OpenAI Platform records 234,678,639 monthly visits with -9.6% growth and Paid pricing.

| Metric | [Hooper](https://openaitools.app/tool/hooper) | [OpenAI Platform](https://openaitools.app/tool/openai) |
| :--- | :--- | :--- |
| Website URL | https://www.hooper.gg | https://openai.com |
| Categories | AI Sports, AI Video Generator, AI Short Video Generator | AI Models, AI API, Large Language Models (LLMs), AI Chatbot |
| Pricing Model | Freemium | Paid |
| Monthly Visits | 12,667 | 234,678,639 |
| MoM Growth Rate | -26.5% | -9.6% |
| Primary Market | United States | United States |
| Direct Visits | 5,135 | 105,101,079 |
| Review Score | 4 | 4.8 |
| Saved Count | 0 | 144 |
| Supported Platforms | Website | Website |

## Hooper

Hooper takes the expensive, hardware-heavy world of sports analytics and shrinks it down to a phone. Instead of installing multi-camera rigs or paying an analyst to tag film, players and coaches record a game or a solo shootaround at roughly waist height, upload it, and let Hooper's computer-vision pipeline do the work. The system recognizes players, distinguishes two-pointers from threes, tracks makes and misses, and stitches together automatically generated mixtapes. A two-hour game typically becomes about 15 minutes of watchable action once dead time is stripped out.

The platform is built around a clear ladder: a free tier for casual hoopers, a Pro tier for individuals who want more recording hours and unlimited clip saves, and a Team plan that gives coaches and staff a web film room covering a whole roster. The Team plan is priced to undercut the thousands of dollars that traditional film-room setups historically cost, and league or tournament organizers can add extra footage hours as needed. Hooper can also process full-court games by linking two sessions recorded from opposite halves.

Beyond the consumer app, Hooper exposes a REST API and an MCP server so leagues, clubs and developers can submit game film programmatically and receive per-player clips identified by jersey number. That MCP interface lets assistants such as Claude or Cursor answer plain-language questions about a game and pull the relevant highlights. The company has partnered with SoftBank Corp. to bring its tracking technology to youth basketball in Japan, and reports more than a million shots tracked across tens of thousands of games.

**Pricing & Plans:** Free tier ($0/month) with 2 hours of monthly recording; Pro at $11.99/month with 10 hours and unlimited saved clips; Team at $29.99/month (roughly $2.50 per player) covering an unlimited roster with 10 shared footage hours and a browser film room. Extra hours are purchasable, and API pricing is available separately.

- **Automatic shot tracking and stats:** Computer-vision analysis identifies players and game events from a single phone recording, tracking makes, misses, two-pointers and three-pointers without manual tagging.
- **AI-generated highlight mixtapes:** Hooper automatically cuts a long game down to the plays that matter, producing per-player highlight reels you can share with teammates, parents or recruiters.
- **Web film room for teams:** Coaches get full games, play-by-play and every player's clips in the browser, with roster management, shared footage hours and group stats.
- **REST API and MCP server:** Leagues and developers can submit film by upload, URL or Veo link, receive per-player clips by jersey number, and connect Hooper to MCP-capable assistants for natural-language game analysis.
- **Works for workouts, pickups and full-court games:** Supports solo training sessions, casual pickup groups and linked two-phone full-court capture, with only a phone required at a recommended height of around five feet.

**Strengths:** Turns an ordinary phone into a shot-charting and highlight tool with no extra hardware; Clear pricing tiers, including a genuinely usable free plan and an inexpensive team option; Reported tracking accuracy of around 92% with the recommended recording setup; Developer-friendly API and MCP server open the data up to third-party products

**Limitations:** Accuracy depends on decent recording height and framing, and ground mode loses shot-chart detail; Full-court coverage needs a second phone and another account to record the opposite half; Advanced team and API capabilities sit behind paid plans or custom arrangements

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

Hooper has 12,667 monthly visits, while OpenAI Platform has 234,678,639. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

Hooper has a month-over-month growth rate of -26.5%; OpenAI Platform has -9.6%.

### How does pricing compare?

Hooper: Freemium. Free tier ($0/month) with 2 hours of monthly recording; Pro at $11.99/month with 10 hours and unlimited saved clips; Team at $29.99/month (roughly $2.50 per player) covering an unlimited roster with 10 shared footage hours and a browser film room. Extra hours are purchasable, and API pricing is available separately. 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 | [Opus Clip AI](https://openaitools.app/tool/opus-clip-ai) | 5,111,309 | -0.5% | Freemium, Free Trial, Paid, Contact for Pricing | Clip, caption and publish shorts from any long video | [.md](https://openaitools.app/tool/opus-clip-ai.md) |
| 6 | [Veo Sports Camera](https://openaitools.app/tool/veo-co) | 5,044,488 | +5.4% | Paid | Record, stream and analyse every match automatically | [.md](https://openaitools.app/tool/veo-co.md) |
| 7 | [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) |
| 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 | [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) |
| 10 | [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) |

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

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