# KAT-Dev vs Workik

KAT-Dev records 0 monthly visits with 0% month-over-month growth and Free, Open Source pricing. Workik records 167,268 monthly visits with -26.3% growth and Freemium pricing.

| Metric | [KAT-Dev](https://openaitools.app/tool/kat-dev) | [Workik](https://openaitools.app/tool/workik) |
| :--- | :--- | :--- |
| Website URL | https://kat-dev.dev | https://workik.com |
| Categories | AI Code Assistant, AI Code Generator, Large Language Models (LLMs), Open Source AI Models | AI Code Generator, AI Code Assistant, AI Developer Tools, AI Productivity Tools |
| Pricing Model | Free, Open Source | Freemium |
| Monthly Visits | 0 | 167,268 |
| MoM Growth Rate | 0% | -26.3% |
| Primary Market | Global | United States |
| Direct Visits | 0 | 34,597 |
| Review Score | 4.3 | 4.2 |
| Saved Count | 1 | 2 |
| Supported Platforms | Website | Website |

## KAT-Dev

KAT-Dev is an open-weight large language model created by Kwaipilot and aimed at coding and software engineering workflows. With 33 billion parameters, it is designed to help developers generate code, fix bugs, refactor existing logic, write tests and produce documentation. The model is published openly, so engineering teams can pull the weights and run them in their own infrastructure or rely on third-party inference providers that already serve it.

What sets KAT-Dev apart is its focus on repository-scale coding assistance rather than generic chat. It supports tool-calling and a structured prompt format that lets it interact with a computer or coding agent to complete multi-step tasks, which makes it suitable for agentic developer tooling and automated software tasks. The model is tagged as multilingual and conversational on its distribution page.

Because KAT-Dev is licensed under Apache-2.0, it can be embedded into commercial products and internal tools. Developers typically evaluate it against established coding benchmarks and integrate it through transformers-based pipelines or an API endpoint. Note that kat-dev.dev occasionally blocks automated crawlers; the project itself remains available through its public model repositories.

**Pricing & Plans:** KAT-Dev is released as open weights under the Apache-2.0 license, so the model itself is free to download and self-host. Costs apply only to the compute you use (your own GPUs or a paid third-party inference provider).

- **33B open-weight coding model:** A 33-billion-parameter language model released with open weights for self-hosting and customization.
- **Software-engineering focus:** Optimized for code generation, bug fixing, refactoring, performance optimization, test generation and code documentation.
- **Agentic tool calling:** Supports a structured tool-call format so it can operate inside coding agents and complete multi-step tasks.
- **Apache-2.0 license:** Permissive licensing allows commercial and internal use, fine-tuning and redistribution.
- **Inference-provider ready:** Available through mainstream inference providers and transformers-compatible pipelines for quick adoption.

**Strengths:** Open weights under a permissive Apache-2.0 license; Strong coding and repository-level reasoning focus; Self-hostable for data-sensitive engineering teams; Available through public inference providers for quick testing

**Limitations:** 33B parameters need meaningful GPU resources to self-host; Not a managed SaaS product with an official hosted dashboard; Requires benchmark evaluation and tuning to fit specific codebases

[Profile (Markdown)](https://openaitools.app/tool/kat-dev.md)

## Workik

Workik positions itself as an AI layer over everyday engineering work. Instead of treating code generation as a one-off prompt, it lets you build a persistent project context from repositories (GitHub, GitLab, Bitbucket), database schemas, API definitions, and uploaded files. That context is stored and reused, so AI responses stay aligned with your actual codebase, naming conventions, and data models. Teams can then plan tasks, generate frontend and backend code, debug issues, and prepare tests from a shared workspace.

The platform extends beyond chat-style assistance. Workik offers AI bots for Slack and Discord that answer technical questions using workspace context, automated codebase and database documentation that can regenerate as projects change, visual database modeling with ERD and SQL views, mock data generation, and an application generator that produces downloadable project scaffolding. A VS Code extension brings the same context-aware assistance into the editor, with file indexing performed locally.

Workik targets engineering organizations of varying sizes, from individual developers to enterprise teams needing role-based access, SSO, and on-premises options. The site advertises adoption by large enterprises and universities, and notes SOC 2 Type II certification. For teams that want AI coding help grounded in their own project knowledge rather than isolated prompts, Workik's main value is the continuity and governance around that context.

**Pricing & Plans:** Workik uses a freemium model with a free trial and tiered subscriptions. The free Trial tier includes a small number of AI requests and flow runs plus limited knowledge base files. Paid plans (Starter, Premium, Elite) are billed monthly or annually with roughly 20% off annual billing, and scale AI token allowances, knowledge base capacity, and flow runs. Workik also advertises Tailored, Team, and Custom enterprise options with shared workspaces, role-based permissions, SSO/SCIM, and on-prem or hybrid deployment. Exact prices and token limits change, so check the pricing page for current figures.

- **Persistent project context:** Import code from GitHub, GitLab, or Bitbucket and save project knowledge such as schemas, APIs, and files so AI responses reflect your real codebase via vector search.
- **AI code generation, debugging, and testing:** Generate frontend, backend, and full-stack code, explain existing logic, debug issues, and produce tests directly from a shared AI workspace.
- **Automated codebase and database documentation:** Generate readable documentation from a repository or a specific set of files, and document MySQL, PostgreSQL, MS-SQL, MariaDB, or MongoDB schemas that can be kept up to date.
- **Custom AI bots for Slack and Discord:** Build bots that answer technical questions using your workspace context, test their responses, and deploy them to team channels with minimal setup.
- **Database modeling, query generation, and mock data:** Visualize and edit schemas with ERD, SQL, or form views, generate and explain SQL queries, and create realistic mock data tailored to your tables.

**Strengths:** Stores reusable project context so AI answers reflect your actual codebase, schemas, and APIs; Broad feature set spanning code generation, documentation, databases, bots, workflows, and a VS Code extension; Supports repository integrations and all major databases; Free trial tier and flexible paid tiers, with enterprise options including SSO, RBAC, and on-prem deployment

**Limitations:** Token-based limits mean heavy users may need to upgrade or supply their own API key for advanced models; Feature breadth can feel overwhelming for developers who only want basic code completion; Documentation and help content are largely self-serve, with dedicated support concentrated in higher tiers

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

## Frequently Asked Questions

### How do KAT-Dev and Workik compare in monthly traffic?

KAT-Dev has 0 monthly visits, while Workik has 167,268. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

KAT-Dev has a month-over-month growth rate of 0%; Workik has -26.3%.

### How does pricing compare?

KAT-Dev: Free, Open Source. KAT-Dev is released as open weights under the Apache-2.0 license, so the model itself is free to download and self-host. Costs apply only to the compute you use (your own GPUs or a paid third-party inference provider). Workik: Freemium. Workik uses a freemium model with a free trial and tiered subscriptions. The free Trial tier includes a small number of AI requests and flow runs plus limited knowledge base files. Paid plans (Starter, Premium, Elite) are billed monthly or annually with roughly 20% off annual billing, and scale AI token allowances, knowledge base capacity, and flow runs. Workik also advertises Tailored, Team, and Custom enterprise options with shared workspaces, role-based permissions, SSO/SCIM, and on-prem or hybrid deployment. Exact prices and token limits change, so check the pricing page for current figures.

## Alternatives

| # | Tool Name | Monthly Visits | MoM Growth Rate | Pricing Model | Summary | Profile (Markdown) |
| :--- | :--- | :--- | :--- | :--- | :--- | :--- |
| 1 | [Claude](https://openaitools.app/tool/claude-2) | 1,253,439,413 | +23.8% | Freemium | Anthropic's frontier AI workspace powered by Claude 5.5 for agentic coding, analysis, and nuanced writing. | [.md](https://openaitools.app/tool/claude-2.md) |
| 2 | [DeepSeek](https://openaitools.app/tool/deepseek) | 372,761,591 | +4.3% | Freemium | High-efficiency open-weight and hosted reasoning AI powered by DeepSeek-V4 and R1 at ultra-low token costs. | [.md](https://openaitools.app/tool/deepseek.md) |
| 3 | [Qwen 4 (Alibaba Qwen4)](https://openaitools.app/tool/qwen-4) | 35,101,353 | -6.2% | Freemium | Alibaba Cloud's 4th-generation multimodal AI assistant and foundation model lineup (Qwen4-Max, Qwen4-Plus, Qwen4-Flash & open-weight Qwen4-27B) with 1M context. | [.md](https://openaitools.app/tool/qwen-4.md) |
| 4 | [VS Code](https://openaitools.app/tool/vs-code) | 7,397,370 | -3.8% | Freemium | Write code with precision, hand bigger jobs to agents, and keep working from anywhere | [.md](https://openaitools.app/tool/vs-code.md) |
| 5 | [Gemma Open Models by Google](https://openaitools.app/tool/gemma-open-models-by-google) | 4,900,914 | -13.5% | Freemium, Paid | Google's family of lightweight, open-weight AI models | [.md](https://openaitools.app/tool/gemma-open-models-by-google.md) |
| 6 | [Cursor](https://openaitools.app/tool/cursor-sh) | 4,790,129 | +6.5% | Freemium | Provides an immersive AI-native code editor experience, but focuses less on high-level database workflow planning. | [.md](https://openaitools.app/tool/cursor-sh.md) |
| 7 | [Kiro](https://openaitools.app/tool/kiro) | 3,330,476 | +4.6% | Freemium | Features structured spec-driven AI development workflows, but requires adopting AWS's specific IDE ecosystem. | [.md](https://openaitools.app/tool/kiro.md) |
| 8 | [Devin](https://openaitools.app/tool/devin) | 2,549,346 | +1% | Paid | Delivers fully autonomous software engineering execution across repositories, but is significantly more expensive and less interactive. | [.md](https://openaitools.app/tool/devin.md) |
| 9 | [Command Code](https://openaitools.app/tool/command-code) | 2,358,177 | -12.1% | Freemium, Contact for Pricing | The coding agent that learns your coding taste | [.md](https://openaitools.app/tool/command-code.md) |
| 10 | [Pi Coding Agent](https://openaitools.app/tool/pi-coding-agent) | 1,929,244 | +4% | Free | A minimal, extensible terminal coding agent you can reshape | [.md](https://openaitools.app/tool/pi-coding-agent.md) |

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Source: https://openaitools.app/compare/kat-dev-vs-workik

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