# BigModel vs Defapi

BigModel records 5,700,686 monthly visits with -17% month-over-month growth and Freemium pricing. Defapi records 45,178 monthly visits with +585.7% growth and Paid pricing.

| Metric | [BigModel](https://openaitools.app/tool/bigmodel) | [Defapi](https://openaitools.app/tool/defapi) |
| :--- | :--- | :--- |
| Website URL | https://bigmodel.cn | https://defapi.org |
| Categories | Large Language Models (LLMs), AI API, AI Models, AI Agent | AI API, AI Models, AI Developer Tools, Large Language Models (LLMs) |
| Pricing Model | Freemium | Paid |
| Monthly Visits | 5,700,686 | 45,178 |
| MoM Growth Rate | -17% | +585.7% |
| Primary Market | China | United States |
| Direct Visits | 4,230,503 | 7,006 |
| Review Score | 4.6 | 4.2 |
| 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)

## Defapi

Defapi positions itself as an enterprise-grade AI model orchestration layer. Instead of signing up for and integrating dozens of separate vendor APIs, teams connect to a single endpoint and select the model they need from a large catalog of LLMs, vision models, audio services and specialised APIs. The platform handles the routing between providers, so switching or comparing models becomes a configuration change rather than an engineering project.

Cost and reliability are the two pillars of the pitch. Defapi says it intelligently routes each request to the most cost-effective suitable model, exposes transparent pay-per-use rates per model, and provides detailed performance and usage statistics so teams can see where spend goes. Enterprise-oriented features include access controls, encryption, multi-region deployment and compliance messaging.

The catalog spans flagship commercial models from OpenAI, Anthropic and Google DeepMind alongside image, video and audio generation models, with pricing shown per request or per second depending on modality. Defapi also publishes a model directory and blog with integration guides, and offers SDKs, documentation and premium support for enterprise customers.

**Pricing & Plans:** Pay-as-you-go, pay-per-use pricing: you are billed only for the calls you make, with per-model rates shown in the catalog (for example per-request image pricing or per-million-token text pricing). No subscription tier is advertised on the homepage.

- **Unified multi-provider API:** One endpoint and one API key reach models from OpenAI, Anthropic, Google DeepMind and other vendors, removing the need to maintain separate integrations.
- **Intelligent routing and load balancing:** Requests can be routed to the most suitable or most cost-effective model automatically, with balancing across providers for stability.
- **Broad modality coverage:** Text/LLM, image generation, video generation, audio (speech recognition and synthesis) and specialised decision APIs are all available through the same interface.
- **Transparent usage analytics:** Detailed performance and spend statistics let teams monitor cost, latency and usage per model or per key.
- **Enterprise security and compliance:** Encryption, access controls, multi-region support and enterprise-grade reliability guarantees aimed at business deployments.

**Strengths:** Single API surface for a very wide catalog of commercial AI models; Cost-aware routing and transparent per-model rates help manage spend; Covers text, image, video, audio and specialised decision APIs in one place; Publishes documentation, SDKs and integration guides to speed onboarding

**Limitations:** You depend on a third-party gateway for uptime and provider coverage; Catalog entries change frequently, so model availability and pricing should be verified per project; Enterprise governance features may be more than a solo developer needs

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

## Frequently Asked Questions

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

BigModel has 5,700,686 monthly visits, while Defapi has 45,178. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

BigModel has a month-over-month growth rate of -17%; Defapi has +585.7%.

### 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. Defapi: Paid. Pay-as-you-go, pay-per-use pricing: you are billed only for the calls you make, with per-model rates shown in the catalog (for example per-request image pricing or per-million-token text pricing). No subscription tier is advertised on the homepage.

## 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 | Enterprise developer platform and API for deploying GPT-6 Astra, Sol, Luna, and realtime multimodal agents. | [.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 | [Atlas Cloud](https://openaitools.app/tool/atlas-cloud) | 777,031 | -16.4% | Paid | One OpenAI-compatible API for 500+ image, video, audio, and LLM models | [.md](https://openaitools.app/tool/atlas-cloud.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-defapi

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