# BigModel vs Journable

BigModel records 5,700,686 monthly visits with -17% month-over-month growth and Freemium pricing. Journable records 2,005 monthly visits with -73% growth and Free pricing.

| Metric | [BigModel](https://openaitools.app/tool/bigmodel) | [Journable](https://openaitools.app/tool/journable) |
| :--- | :--- | :--- |
| Website URL | https://bigmodel.cn | https://www.journable.com |
| Categories | Large Language Models (LLMs), AI API, AI Models, AI Agent | AI Fitness, AI Chatbot, AI Image Recognition, AI Assistant |
| Pricing Model | Freemium | Free |
| Monthly Visits | 5,700,686 | 2,005 |
| MoM Growth Rate | -17% | -73% |
| Primary Market | China | India |
| Direct Visits | 4,230,503 | 783 |
| Review Score | 4.6 | 4 |
| Saved Count | 0 | 2 |
| 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)

## Journable

Journable rethinks food logging around a simple idea: tracking should feel like texting a friend, not filling in a spreadsheet. You open the app, type something like "two eggs, toast and a latte," and the AI parses the items, estimates portion sizes, and posts the calories and macros to your daily diary. Because the assistant understands a wide range of foods — homemade dishes, restaurant plates, and international cuisine — you spend far less time searching databases for exact matches.

Photo-based tracking extends the same convenience to situations where typing is awkward. If you are eating out or dealing with a complicated recipe, you snap a picture of the plate and the app estimates the portion, macronutrients, and calorie count. A dedicated macro view then shows how protein, carbohydrate, and fat intake are trending against the goals you set, so you can adjust the rest of your day with real information rather than guesswork.

Journable also covers the activity side of the energy balance. You can log workouts in the same chat flow and see calories burned alongside calories consumed, giving a single running picture of your deficit or surplus. Personal goals, progress tracking, and a lightweight interface keep the experience approachable for beginners while still being useful for people who already track consistently.

**Pricing & Plans:** Journable is offered as a free app that you download from the App Store or Google Play; the site does not list paid tiers or published subscription prices.

- **Chat-based food logging:** Describe meals and workouts in natural language and let the AI convert them into calories and macros without a searchable food database.
- **Photo calorie tracking:** Snap a picture of your plate and the app estimates portion size, calories, and macros — useful when dining out or facing complex recipes.
- **Automatic macro tracking:** Set protein, carbohydrate, and fat targets and watch your intake update automatically as you log meals.
- **Exercise and burn tracking:** Log activity in the same chat and see calories burned alongside calories consumed for a full energy-balance view.
- **Personalized goal setting:** Choose whether you want to lose weight, gain muscle, or maintain, and track progress against your own targets.

**Strengths:** Logging food by chatting is dramatically faster than manual database entry; Photo tracking covers restaurant meals and complex dishes; Understands a broad range of local and international foods; Combines calorie, macro, and exercise tracking in one app

**Limitations:** AI estimates for portions and restaurant meals are approximations, not lab measurements; No publicly listed paid plans or detailed pricing on the website

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

## Frequently Asked Questions

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

BigModel has 5,700,686 monthly visits, while Journable has 2,005. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

BigModel has a month-over-month growth rate of -17%; Journable has -73%.

### 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. Journable: Free. Journable is offered as a free app that you download from the App Store or Google Play; the site does not list paid tiers or published subscription prices.

## 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-journable

More Markdown: [Categories](https://openaitools.app/categories.md) · [Traffic rankings](https://openaitools.app/rankings.md) · [llms.txt](https://openaitools.app/llms.txt)