# BigModel vs Inkeep

BigModel records 5,700,686 monthly visits with -17% month-over-month growth and Freemium pricing. Inkeep records 28,786 monthly visits with -5.1% growth and Contact for Pricing pricing.

| Metric | [BigModel](https://openaitools.app/tool/bigmodel) | [Inkeep](https://openaitools.app/tool/inkeep) |
| :--- | :--- | :--- |
| Website URL | https://bigmodel.cn | https://inkeep.com |
| Categories | Large Language Models (LLMs), AI API, AI Models, AI Agent | AI Customer Service, AI Chatbot, AI Copilot, AI Agent |
| Pricing Model | Freemium | Contact for Pricing |
| Monthly Visits | 5,700,686 | 28,786 |
| MoM Growth Rate | -17% | -5.1% |
| Primary Market | China | United States |
| Direct Visits | 4,230,503 | 20,889 |
| Review Score | 4.6 | 4.4 |
| 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)

## Inkeep

Inkeep is built around the idea that engineering and business teams should ship AI agents on one shared platform. It offers two surfaces that stay in sync: a no-code visual builder for business users and a TypeScript Agent SDK for developers. Because both write to the same agent definitions, a non-technical owner can tweak an agent in the builder while an engineer extends the same agent in code, without forking into separate implementations.

The product covers three main agent categories. Customer-facing assistants use unified search over your knowledge base and product to answer complex customer questions and query customer-specific information. Inkeep Coworker gives CX teams a personal assistant triggered from Slack or a support platform, gathering context from your CRM, billing, and other systems and proposing ready-to-approve answers with human approvals. Automation agents watch for webhooks, schedules, or external events to keep the knowledge base current, and coordination agents route complex work to specialist sub-agents. Agents can take real actions such as creating tickets, updating CRMs, generating content, and sending notifications through MCP tools.

Inkeep markets itself to support, documentation, product, and go-to-market teams that want AI agents they can trust, backed by governance, testing, reports, and connectors. It offers open-source components, and pricing is arranged through a demo rather than self-serve checkout.

**Pricing & Plans:** Contact for pricing. Inkeep routes prospects through a demo and does not advertise public self-serve tiers, so pricing depends on your requirements; talk to their team for a quote.

- **No-code visual builder:** Business teams create and own AI agents through a visual builder without writing code, defining triggers, sub-agents, and tools.
- **Developer Agent SDK:** Engineers build the same agents in TypeScript with an SDK that supports sub-agents, delegation, and MCP tools.
- **Two-way sync:** Builder and SDK write to shared agent definitions, so non-technical and technical teams can collaborate on the same agents.
- **Coworker agents:** CX assistants triggered from Slack or a support platform gather context from CRM and billing and propose human-approved answers.
- **Automation and orchestration:** Agents run on webhooks, schedules, or external events, route to specialist sub-agents, and take real actions via MCP.

**Strengths:** One platform where business and engineering teams build agents together with two-way sync; Covers customer-facing assistants, internal coworkers, and knowledge automation; Agents can take real actions through MCP tools and dedicated connectors; Open-source components and governance, testing, and reporting for enterprise trust

**Limitations:** Pricing is only available by contacting sales, so no public self-serve plans; The SDK and multi-agent orchestration assume some developer involvement; Better suited to teams with substantial documentation and support volume than to individuals

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

## Frequently Asked Questions

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

BigModel has 5,700,686 monthly visits, while Inkeep has 28,786. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

BigModel has a month-over-month growth rate of -17%; Inkeep has -5.1%.

### 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. Inkeep: Contact for Pricing. Contact for pricing. Inkeep routes prospects through a demo and does not advertise public self-serve tiers, so pricing depends on your requirements; talk to their team for a quote.

## 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 | [Intercom](https://openaitools.app/tool/intercom-com) | 4,471,110 | +2.7% | Free Trial, Paid | AI-first customer service with a natively integrated AI agent | [.md](https://openaitools.app/tool/intercom-com.md) |
| 6 | [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) |
| 7 | [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) |
| 8 | [Crisp](https://openaitools.app/tool/crisp-chat) | 1,408,646 | +1.5% | Free Trial, Paid, Contact for Pricing, Free | AI-first customer support platform with a shared inbox built in | [.md](https://openaitools.app/tool/crisp-chat.md) |
| 9 | [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) |
| 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-inkeep

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