# BigModel vs Fork Wise

BigModel records 5,700,686 monthly visits with -17% month-over-month growth and Freemium pricing. Fork Wise records 0 monthly visits with — growth and Freemium pricing.

| Metric | [BigModel](https://openaitools.app/tool/bigmodel) | [Fork Wise](https://openaitools.app/tool/fork-wise) |
| :--- | :--- | :--- |
| Website URL | https://bigmodel.cn | https://apps.apple.com/gb/app/fork-wise/id6736621740 |
| Categories | Large Language Models (LLMs), AI API, AI Models, AI Agent | AI Cooking Assistant, AI OCR, AI Fitness |
| Pricing Model | Freemium | Freemium |
| Monthly Visits | 5,700,686 | 0 |
| MoM Growth Rate | -17% | — |
| Primary Market | China | Global |
| Direct Visits | 4,230,503 | 0 |
| Review Score | 4.6 | 3.8 |
| Saved Count | 0 | 0 |
| Supported Platforms | Website | App |

## 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)

## Fork Wise

Fork Wise is a consumer iOS app for people who care what is in their food but do not want to interrogate a waiter about every dish. You point your camera at a menu — or at a shelf of products in a grocery store — and the app uses AI menu analysis to break each dish down into plain language, matching items against the macros, health goals, dietary preferences and exclusions in your profile.

Rather than showing a wall of numbers, Fork Wise surfaces what matters for the decision in front of you: allergen badges so dietary must-haves stand out, filters for ingredients you want to avoid, and sorting by calories, protein, carbohydrates or fat when you are tracking targets. Multi-page menus can be captured while a scan is running and merged into one result, and notes from previous scans travel with you so you do not re-learn the same menu.

The app also includes accessibility-minded touches: dishes can be read aloud with clear pronunciation, and menu text in another language is accompanied by a line in your own language. Fork Wise is a paid/freemium app distributed on the Apple App Store by developer Zubin Ghai, with a free allowance of scans and an in-app purchase to unlock unlimited scanning. The developer explicitly notes it is an information tool, not medical or allergy advice.

**Pricing & Plans:** Free to download with a free tier of 10 menu scans; an in-app purchase (listed at around £0.99 in the UK App Store) unlocks unlimited scans.

- **AI menu analysis from a photo:** Take a photo of any written menu and Fork Wise reads the page, breaks dishes into plain language and rates how well they match your profile.
- **Allergen badges and filters:** Allergens and unwanted ingredients are flagged with clear badges, and you can filter them out of the results.
- **Macro and calorie sorting:** Sort dishes by calories, protein, carbohydrates and fat so you can hit specific nutritional targets.
- **Multi-page scans and saved notes:** Scan multi-page menus, add pages during a run and merge them into one result, and keep notes from past scans.
- **Voice readouts and translation:** Tap and hold dishes to hear them read aloud, and see translation lines for menus written in another language.

**Strengths:** Turns an unreadable menu into clear, personalised recommendations in seconds; Allergen badges and macro sorting cover both safety and nutrition goals; Works anywhere, including menus in other languages, with read-aloud support; Lightweight app (about 3.5 MB) with a generous 10-scan free tier

**Limitations:** Only available on Apple platforms (iPhone, iPad, Apple-silicon Mac); The developer states it is not a substitute for medical or allergy advice; Accuracy depends on photo quality and the clarity of the printed menu

[Profile (Markdown)](https://openaitools.app/tool/fork-wise.md)

## Frequently Asked Questions

### How do BigModel and Fork Wise compare in monthly traffic?

BigModel has 5,700,686 monthly visits, while Fork Wise has 0. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

BigModel has a month-over-month growth rate of -17%; Fork Wise has —.

### 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. Fork Wise: Freemium. Free to download with a free tier of 10 menu scans; an in-app purchase (listed at around £0.99 in the UK App Store) unlocks unlimited scans.

## 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 | [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) |
| 6 | [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) |
| 7 | [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) |
| 8 | [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) |
| 9 | [DeepInfra](https://openaitools.app/tool/deep-infra) | 457,810 | -8.9% | Paid | Offers highly cost-effective serverless inference for open models, but lacks BigModel's integrated enterprise knowledge base and agent tools. | [.md](https://openaitools.app/tool/deep-infra.md) |
| 10 | [SiliconFlow](https://openaitools.app/tool/siliconflow) | 276,303 | -10.5% | Pay-as-you-go | One API for fast, cost-predictable inference on LLMs and multimodal models | [.md](https://openaitools.app/tool/siliconflow.md) |

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Source: https://openaitools.app/compare/bigmodel-vs-fork-wise

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