# BigModel vs DROP

BigModel records 5,700,686 monthly visits with -17% month-over-month growth and Freemium pricing. DROP records 488 monthly visits with -71.8% growth and Free pricing.

| Metric | [BigModel](https://openaitools.app/tool/bigmodel) | [DROP](https://openaitools.app/tool/drop) |
| :--- | :--- | :--- |
| Website URL | https://bigmodel.cn | https://drop.space |
| Categories | Large Language Models (LLMs), AI API, AI Models, AI Agent | AI Files, AI Productivity Tools |
| Pricing Model | Freemium | Free |
| Monthly Visits | 5,700,686 | 488 |
| MoM Growth Rate | -17% | -71.8% |
| Primary Market | China | United States |
| Direct Visits | 4,230,503 | 190 |
| Review Score | 4.6 | 4.3 |
| Saved Count | 0 | 1 |
| 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)

## DROP

DROP is a lightweight alternative to traditional large-file senders. It runs entirely in the browser: you choose files or a folder with the plus button, review the list, and start the upload while the progress indicator tracks the actual bytes sent. Once the transfer completes you register or sign in — via Google or an email code — to unlock your share link, and the recipient needs no account at all.

The service is designed for handing over photos, finished videos and documents. Folder uploads preserve relative paths, so recipients can either grab individual files or hit "Download all" for a single ZIP that keeps the folder structure; empty folders are not retained. Supported previews include common images, PDF, browser-playable video and audio, and text, while Office and OpenDocument previews depend on an available conversion service and are capped at 64 MiB for the original file.

The limits are clearly published rather than hidden behind a paywall: one transfer can hold up to 10 GB across 1 to 1,000 files, anonymous uploads stay available for 24 hours from creation, and signing in can extend an owned upload to 72 hours from the original creation time. Once a transfer expires the link stops working and background cleanup removes the originals, previews and unfinished upload parts. Files are stored on Cloudflare R2.

**Pricing & Plans:** Free to use — the site publishes no paid tier, no subscription and no per-transfer fee for the documented 10 GB / 1,000 file limits.

- **Large transfers up to 10 GB:** Send up to 10 GB in a single transfer, with support for 1 to 1,000 files per upload.
- **Folder uploads without zipping:** Choose a folder directly in a browser that supports folder selection; relative paths are preserved so recipients get the structure back as a ZIP.
- **No account needed for recipients:** Upload first, then sign in with Google or an email code to unlock the link — anyone with the link can download without registering.
- **In-browser previews:** Recipients can preview common images, PDF, playable video and audio, and text before downloading, with Office/OpenDocument previews when the conversion service is available.
- **Transparent expiry rules:** Anonymous transfers expire 24 hours after creation; a verified sign-in can extend an owned upload to 72 hours from its original creation time.

**Strengths:** Free with a genuinely large 10 GB ceiling and no account required to upload; Folder uploads keep their structure, so recipients do not have to reassemble anything; Recipients never need to register, which removes friction for one-off transfers; Published, explicit limits and expiry behaviour instead of vague fine print

**Limitations:** Retention is short — 24 hours anonymous and 72 hours signed in — so it is not long-term storage; Anyone holding a valid link can download before expiry, so links must be shared carefully; Office and OpenDocument previews depend on a conversion service and are limited to 64 MiB originals

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

## Frequently Asked Questions

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

BigModel has 5,700,686 monthly visits, while DROP has 488. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

BigModel has a month-over-month growth rate of -17%; DROP has -71.8%.

### 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. DROP: Free. Free to use — the site publishes no paid tier, no subscription and no per-transfer fee for the documented 10 GB / 1,000 file limits.

## 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-drop

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