# BigModel vs Kaopu API

BigModel records 5,700,686 monthly visits with -17% month-over-month growth and Freemium pricing. Kaopu API records 0 monthly visits with 0% growth and pay_as_you_go pricing.

| Metric | [BigModel](https://openaitools.app/tool/bigmodel) | [Kaopu API](https://openaitools.app/tool/kaopu-api) |
| :--- | :--- | :--- |
| Website URL | https://bigmodel.cn | https://kaopuapi.ai |
| Categories | Large Language Models (LLMs), AI API, AI Models, AI Agent | AI API, AI Developer Tools, Large Language Models (LLMs) |
| Pricing Model | Freemium | pay_as_you_go |
| Monthly Visits | 5,700,686 | 0 |
| MoM Growth Rate | -17% | 0% |
| Primary Market | China | Global |
| Direct Visits | 4,230,503 | 0 |
| Review Score | 4.6 | 2.2 |
| 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)

## Kaopu API

Kaopu API positions itself as "AI application infrastructure foundation" — a single gateway that sits between your application and the many large language models you want to use. Instead of wiring up a separate integration and billing account for every provider, you connect your API keys as channels, and Kaopu API exposes them through one standard, OpenAI-compatible protocol. The marketing highlights high-concurrency handling with automatic load balancing, so traffic can be spread across channels to keep services responsive.

Beyond routing, the platform doubles as an administration dashboard. You can configure channels, set access permissions, and run multi-user management with flexible roles from one central panel — useful when several developers or teams share the same infrastructure and need their usage and access kept separate. Billing is pay-as-you-go, with real-time usage monitoring and transparent cost tracking so you can see exactly where tokens and budget are being consumed.

Kaopu API is built on the open-source New API project, which means the gateway is self-hostable and extensible. Setup follows three straightforward steps: configure your keys and channels, connect through the compatible OpenAI, Claude, or Gemini routes, then monitor usage, costs, and performance with real-time analytics. Because it is a gateway rather than a model provider, its practical value comes from the upstream services you choose to connect.

**Pricing & Plans:** Pay-as-you-go model with real-time usage monitoring and transparent token-based billing inside the dashboard; since it is self-hostable, total cost also depends on the upstream providers you connect. Public per-token rates are not published on the site.

- **Single unified API endpoint:** Route requests to many upstream AI models through one standard, OpenAI-compatible API protocol, so your code stays the same as providers change.
- **Automatic load balancing:** High-concurrency handling with automatic load balancing spreads traffic across your configured channels to keep responses reliable.
- **Transparent token billing:** Pay-as-you-go accounting with real-time usage monitoring and clear per-key, per-model spending so you always know where budget goes.
- **Multi-user admin dashboard:** Add API keys, set up channels, and assign access permissions for multiple users from one central admin panel.
- **Open-source and extensible:** One-click configuration that adapts to the New API multi-protocol setup, plus a community-driven, self-hosted, extensible codebase.

**Strengths:** One OpenAI-compatible endpoint for many models reduces integration work; Automatic load balancing helps keep high-concurrency workloads responsive; Transparent pay-as-you-go billing with real-time usage and cost tracking; Multi-user management with flexible permissions suits teams sharing infrastructure

**Limitations:** Requires technical setup and self-hosting knowledge to deploy your own gateway; Pricing details are not published openly on the public site, so you must sign up or contact the team for costs; Its value depends on the upstream providers you connect; it does not supply models itself; Advanced multi-user and permission configuration may feel complex for solo developers

[Profile (Markdown)](https://openaitools.app/tool/kaopu-api.md)

## Frequently Asked Questions

### How do BigModel and Kaopu API compare in monthly traffic?

BigModel has 5,700,686 monthly visits, while Kaopu API 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%; Kaopu API has 0%.

### 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. Kaopu API: pay_as_you_go. Pay-as-you-go model with real-time usage monitoring and transparent token-based billing inside the dashboard; since it is self-hostable, total cost also depends on the upstream providers you connect. Public per-token rates are not published on the site.

## 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 | One API key for hundreds of AI models from every major provider | [.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 | [OrcaRouter](https://openaitools.app/tool/orcarouter) | 975,300 | -5.2% | Freemium | One OpenAI-compatible gateway for adaptive LLM routing, guardrails, and spend control | [.md](https://openaitools.app/tool/orcarouter.md) |
| 8 | [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) |
| 9 | [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) |
| 10 | [CometAPI](https://openaitools.app/tool/cometapi) | 602,966 | +49.7% | Pay-as-you-go (credits) | One OpenAI-compatible API key for 500+ AI models | [.md](https://openaitools.app/tool/cometapi.md) |

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Source: https://openaitools.app/compare/bigmodel-vs-kaopu-api

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