# BigModel vs Hooper

BigModel records 5,700,686 monthly visits with -17% month-over-month growth and Freemium pricing. Hooper records 12,667 monthly visits with -26.5% growth and Freemium pricing.

| Metric | [BigModel](https://openaitools.app/tool/bigmodel) | [Hooper](https://openaitools.app/tool/hooper) |
| :--- | :--- | :--- |
| Website URL | https://bigmodel.cn | https://www.hooper.gg |
| Categories | Large Language Models (LLMs), AI API, AI Models, AI Agent | AI Sports, AI Video Generator, AI Short Video Generator |
| Pricing Model | Freemium | Freemium |
| Monthly Visits | 5,700,686 | 12,667 |
| MoM Growth Rate | -17% | -26.5% |
| Primary Market | China | United States |
| Direct Visits | 4,230,503 | 5,135 |
| Review Score | 4.6 | 4 |
| Saved Count | 0 | 0 |
| Supported Platforms | Website | Website |

## BigModel

BigModel is Zhipu AI's developer-facing platform, offering API access to the company's GLM series of large language models and a broad set of multimodal capabilities. Instead of juggling separate vendors, teams can call text generation, vision-language understanding, OCR, speech recognition, speech synthesis, image generation, and video generation endpoints from one account and one set of credentials.

Beyond raw model access, the platform targets application builders. It includes an agent framework, MCP service support, knowledge-base tooling for retrieval-augmented generation, model fine-tuning workflows, and a model playground for quick testing in the browser. There are also adjacent offerings such as an AI coding assistant and visual/low-code building experiences aimed at teams that want to ship without heavy ML engineering.

For organizations with stricter requirements, BigModel supports private instance deployment and on-premise options, alongside token-based pay-as-you-go and enterprise contracts. This makes it a fit for both individual developers prototyping on a budget and enterprises that need data to stay inside their own infrastructure.

**Pricing & Plans:** BigModel follows a freemium, token-based model: new users typically receive free trial credits, then pay-as-you-go for API usage by tokens consumed. Larger volumes, private instance deployment, and on-premise installations are arranged through contact-for-pricing enterprise agreements. Always confirm current rates on the official pricing page.

- **GLM text and multimodal APIs:** Unified access to GLM large language models plus vision, OCR, speech, image, and video endpoints through one account.
- **Agent and MCP support:** Build tool-using agents and expose or consume MCP services to connect models to external systems.
- **Knowledge base and RAG tooling:** Create managed knowledge bases and retrieval pipelines so models can answer with your own documents.
- **Fine-tuning and playground:** Tune models on your data and prototype prompts interactively in the browser before shipping.
- **Private and on-premise deployment:** Run models in a private instance or on your own hardware for data-residency and compliance needs.

**Strengths:** Broad model coverage, from LLMs to vision, speech, and video, under one platform; Officially backs the GLM family, so model documentation and updates are first-party; Supports private and on-premise deployment for strict data requirements; Includes agent, knowledge-base, and fine-tuning tooling beyond raw API access

**Limitations:** Pricing and documentation are primarily Chinese-first, which can slow English-only teams; Some enterprise capabilities require sales contact rather than transparent self-serve pricing; Token costs can grow quickly for high-volume multimodal workloads

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

## 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)

## Frequently Asked Questions

### How do BigModel and Hooper compare in monthly traffic?

BigModel has 5,700,686 monthly visits, while Hooper has 12,667. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

BigModel has a month-over-month growth rate of -17%; Hooper has -26.5%.

### How does pricing compare?

BigModel: Freemium. BigModel follows a freemium, token-based model: new users typically receive free trial credits, then pay-as-you-go for API usage by tokens consumed. Larger volumes, private instance deployment, and on-premise installations are arranged through contact-for-pricing enterprise agreements. Always confirm current rates on the official pricing page. 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.

## Alternatives

| # | Tool Name | Monthly Visits | MoM Growth Rate | Pricing Model | Summary | Profile (Markdown) |
| :--- | :--- | :--- | :--- | :--- | :--- | :--- |
| 1 | [DeepSeek](https://openaitools.app/tool/deepseek) | 372,761,591 | +4.3% | Freemium | Delivers exceptional open-weight reasoning performance at very low cost, but lacks BigModel's broad enterprise multi-modal agent building suite. | [.md](https://openaitools.app/tool/deepseek.md) |
| 2 | [OpenAI Platform](https://openaitools.app/tool/openai) | 234,678,639 | -9.6% | Paid | Provides industry-leading frontier intelligence and developer ecosystems, but lacks BigModel's specialized GLM architecture and native Chinese language optimizations. | [.md](https://openaitools.app/tool/openai.md) |
| 3 | [Google AI Studio](https://openaitools.app/tool/google-ai-studio) | 112,620,020 | +2% | Freemium | Offers massive context windows and robust multimodal Gemini APIs, but differs in model architecture and regional enterprise tooling. | [.md](https://openaitools.app/tool/google-ai-studio.md) |
| 4 | [OpenRouter](https://openaitools.app/tool/openrouter-ai) | 19,941,437 | -6.2% | Paid | Aggregates hundreds of global models under one API endpoint, whereas BigModel provides direct native infrastructure for Zhipu's GLM models. | [.md](https://openaitools.app/tool/openrouter-ai.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 | One API for 1,500+ production-ready generative media models | [.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 serverless open-source model hosting and dedicated GPU clusters, but provides less native proprietary GLM model integration. | [.md](https://openaitools.app/tool/together-ai.md) |
| 9 | [Replicate AI](https://openaitools.app/tool/replicate-ai) | 904,038 | -8.4% | Paid | Run, fine-tune, and deploy machine learning models with one line of code | [.md](https://openaitools.app/tool/replicate-ai.md) |
| 10 | [Fireworks](https://openaitools.app/tool/fireworks-ai) | 659,687 | +6% | Contact for Pricing | Delivers ultra-fast inference speeds for open-weight models, but focuses less on proprietary enterprise agent building toolkits than BigModel. | [.md](https://openaitools.app/tool/fireworks-ai.md) |

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

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