Langfa.st vs. AllGPTs
Langfa.st
Langfa.st is a fast and minimal playground for testing and refining AI prompts. It supports over 50 large language models, including OpenAI, Anthropic, Mistral, Cohere, Google, and others — all available instantly without setup. You can insert variables, use Jinja2 templating, and compare outputs across models. There’s no need to sign up or bring your own API keys — it works out of the box. Langfa.st was built to eliminate the friction of existing tools: complicated UIs, required credentials, or overpriced subscriptions. It gives AI teams and prompt engineers a clean, disposable space to experiment, debug, and iterate — all in one tab. Free to use. You only pay if you need more volume or power features.
AllGPTs
AllGPTs is a directory of custom GPTs for ChatGPT, Poe, and Character AI.
Reviews
Reviews
| Item | Votes | Upvote |
|---|---|---|
| Works without login or API key | 1 | |
| Supports 50+ models out of the box | 1 | |
| Built-in support for variables and Jinja2 templating | 1 | |
| Instant response, no setup required | 1 | |
| Clean and distraction-free UI | 1 |
| Item | Votes | Upvote |
|---|---|---|
| No custom API key support (yet) | 1 | |
| Not ideal for running complex multi-turn chats | 1 |
| Item | Votes | Upvote |
|---|---|---|
| No pros yet, would you like to add one? | ||
| Item | Votes | Upvote |
|---|---|---|
| No cons yet, would you like to add one? | ||
Frequently Asked Questions
Langfa.st is specifically designed for testing and refining AI prompts with over 50 large language models available instantly, without the need for login or API keys. It offers features like variable support and Jinja2 templating, making it ideal for prompt engineers. In contrast, AllGPTs serves as a directory for custom GPTs but does not provide a testing environment or tools for prompt refinement. Therefore, for direct prompt testing, Langfa.st is the better option.
Yes, Langfa.st and AllGPTs can complement each other. Langfa.st allows users to test and refine prompts using various AI models, while AllGPTs provides a directory of custom GPTs that can be utilized within those prompts. Users can create prompts in Langfa.st and then explore custom GPTs from AllGPTs to enhance their AI interactions.
Langfa.st offers several advantages, including instant access to over 50 AI models without the need for login or API keys, built-in support for variables and Jinja2 templating, and a clean, distraction-free user interface. These features make it a powerful tool for prompt testing and iteration. AllGPTs, on the other hand, does not provide a testing environment, focusing instead on being a directory for custom GPTs.
Langfa.st is a fast and minimal playground for testing and refining AI prompts. It supports over 50 large language models, including OpenAI, Anthropic, Mistral, Cohere, Google, and others — all available instantly without setup. Users can insert variables, use Jinja2 templating, and compare outputs across models without needing to sign up or provide API keys.
Pros of Langfa.st include: it works without login or API key, supports over 50 models out of the box, has built-in support for variables and Jinja2 templating, provides instant responses with no setup required, and features a clean and distraction-free user interface.
Cons of Langfa.st include the lack of custom API key support at this time and it may not be ideal for running complex multi-turn chats.
Langfa.st is particularly beneficial for AI teams and prompt engineers who need a clean, disposable space to experiment, debug, and iterate on AI prompts without the friction of complicated UIs or required credentials.
Yes, Langfa.st is free to use. Users only pay if they need more volume or access to power features.
AllGPTs is a directory of custom GPTs for ChatGPT, Poe, and Character AI. It serves as a centralized platform where users can find a variety of GPT (Generative Pre-trained Transformer) models tailored for different use cases.
Currently, there are no user-generated pros and cons available for AllGPTs.
