# BigModel vs devActivity

BigModel records 5,700,686 monthly visits with -17% month-over-month growth and Freemium pricing. devActivity records 46,541 monthly visits with +14% growth and Freemium pricing.

| Metric | [BigModel](https://openaitools.app/tool/bigmodel) | [devActivity](https://openaitools.app/tool/devactivity) |
| :--- | :--- | :--- |
| Website URL | https://bigmodel.cn | https://devactivity.com |
| Categories | Large Language Models (LLMs), AI API, AI Models, AI Agent | AI Developer Tools, AI GitHub, AI For Data Analytics |
| Pricing Model | Freemium | Freemium |
| Monthly Visits | 5,700,686 | 46,541 |
| MoM Growth Rate | -17% | +14% |
| Primary Market | China | United States |
| Direct Visits | 4,230,503 | 18,682 |
| 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)

## devActivity

devActivity targets the management side of software engineering: performance reviews, retrospectives, and knowing where delivery slows down. It connects to GitHub through an app installation, which means granular visibility into commits, pull requests, code reviews, issues and comments without granting access to repository contents. The privacy framing is explicit — only Git metadata is collected, and no source code is read.

Output comes in several forms. Role-specific dashboards serve product managers, team leads and C-level stakeholders with different views of the same underlying data. AI-powered retrospective insights and operational bottleneck alerts highlight problems worth discussing, while work-quality analytics look beyond raw commit counts to how contributions are reviewed and merged. There is also a gamification layer with XP, levels, challenges, achievements and leaderboards so teams can make improvement visible and motivating.

Setup is a one-time GitHub App install, with no manual data entry afterwards — the platform keeps collecting as the team works. It currently concentrates on the GitHub ecosystem, covering public and private repositories of any size, with other Git hosts on the roadmap. The vendor states that roughly 83 million developers, 200 million repositories and over a billion contributions are represented in the community it aims to serve.

**Pricing & Plans:** Freemium. The GitHub App is free to install and use, with an extended feature set available as a paid upgrade. Pricing details for the higher tiers are listed on the vendor's pricing page.

- **Contribution and work quality analytics:** Measure commit, pull request, review and issue activity alongside how carefully contributions are reviewed and merged.
- **AI retrospective insights:** Generate retrospective talking points and recommendations from real engineering activity in a couple of clicks.
- **Operational bottleneck alerts:** Surface slowdowns in the delivery pipeline before they become recurring schedule problems.
- **Gamification with XP and leaderboards:** XP, levels, challenges, achievements and leaderboards turn process improvement into something teams can rally around.
- **Privacy-first GitHub App install:** Only Git metadata — activity types, timestamps, authors — is collected; source code is never accessed.

**Strengths:** Installs in minutes as a GitHub App with no manual reporting; Collects only Git metadata, not source code; Combines analytics with AI insights and gamification in one tool; Role-specific dashboards for managers, team leads and executives

**Limitations:** Currently limited to GitHub; GitLab and Bitbucket support is still on the roadmap; Metrics can be misread as individual productivity scores if used carelessly; Deeper analytics require moving off the free tier

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

## Frequently Asked Questions

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

BigModel has 5,700,686 monthly visits, while devActivity has 46,541. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

BigModel has a month-over-month growth rate of -17%; devActivity has +14%.

### 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. devActivity: Freemium. Freemium. The GitHub App is free to install and use, with an extended feature set available as a paid upgrade. Pricing details for the higher tiers are listed on the vendor's pricing page.

## 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 | [DeepWiki by Cognition](https://openaitools.app/tool/deepwiki-by-congnition) | 879,539 | -3.1% | Free | AI-generated wikis and chat for any public GitHub repository | [.md](https://openaitools.app/tool/deepwiki-by-congnition.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 | [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) |

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Source: https://openaitools.app/compare/bigmodel-vs-devactivity

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