How do their growth rates compare?

DevGPT (DevKit) has a month-over-month growth rate of -44.3%; Workik has -26.3%.

How does pricing compare?

DevGPT (DevKit): Freemium. DevGPT is offered on a freemium basis: you can start and use the assistant and mini-tools at no cost, while paid subscription tiers unlock higher limits and additional model access. Exact plan prices and credit allowances are shown on the DevKit pricing page. 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.

What are alternatives to DevGPT (DevKit) and Workik?

Other tools in related categories include ChatGPT, Claude, DeepSeek, Cursor, Cursor.

DevGPT (DevKit) vs Workik — Traffic (3.27K vs 167.27K), Pricing & Verdict

Open AI Tools

DevGPT (DevKit) vs Workik — Traffic (3.27K vs 167.27K), Pricing & Verdict | Open AI Tools

Side-by-Side Traffic & Specification Matrix

Dimension / Metric	DevGPT (DevKit)	Workik
Official Domain	getdevkit.com	workik.com
Pricing Model	Freemium	Freemium
Monthly Visits	3.27K (3,265)	167.27K (167,268)
MoM Traffic Delta	-2.6K (-44.3%)	-59.61K (-26.3%)
Primary Market & Share	🇺🇸 United States (73.1%)	🇺🇸 United States (18.2%)
Direct Visits / mo	1.28K	34.6K
User Rating	2.2	4.2
Supported Platforms	Website	Website

DevGPT (DevKit)

A developer-first AI assistant with world-class LLMs and 30+ built-in mini-devtools

Multi-model chat

Switch between several leading LLMs, including high-context and fast-inference options, to match each task.

Public API testing

Generate request configuration for hundreds of public APIs and finish API tests in seconds rather than hours.

Natural-language database querying

Query Postgres databases in plain English and turn questions into SQL, then visualize the returned data.

In-chat code generation and execution

Generate, run, and test code in dozens of languages inside the chat before moving it into your codebase.

Strengths & Pros

+Consolidates multiple LLMs and 30+ dev tools into a single browser workspace
+Practical integrations such as the API client and database client save real context-switching time
+Plain-English database querying and in-chat code execution make prototyping fast
+Framed as privacy-conscious relative to ad-heavy free tool sites, with a freemium entry point