Langfa.st vs. GraphQL: Syntax Highlighting
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.
GraphQL: Syntax Highlighting
Syntax highlighting for .gql, .graphql and .graphqls files. It also works with inline GraphQL in JavaScript, TypeScript, jsx, tsx, Vue, Svelte, PHP, ReasonML, Python, Markdown, Scala and Ruby.
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, supporting over 50 large language models without the need for login or API keys. It offers a clean UI and built-in support for variables and Jinja2 templating, making it ideal for AI teams and prompt engineers. In contrast, GraphQL: Syntax Highlighting is focused on providing syntax highlighting for GraphQL files and does not offer features for testing or refining AI prompts. Therefore, if your goal is to experiment with AI prompts, Langfa.st is the better choice.
Langfa.st is not ideal for running complex multi-turn chats, as it is primarily a playground for testing AI prompts. On the other hand, GraphQL: Syntax Highlighting does not provide any functionality for chat interactions, as it is solely focused on syntax highlighting for various programming languages. Therefore, neither tool is suited for complex multi-turn chats, but Langfa.st is more relevant for prompt testing.
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.
GraphQL: Syntax Highlighting is an extension for Visual Studio Code that provides syntax highlighting for .gql, .graphql, and .graphqls files. It also supports inline GraphQL in various languages including JavaScript, TypeScript, jsx, tsx, Vue, Svelte, PHP, ReasonML, Python, Markdown, Scala, and Ruby.
GraphQL: Syntax Highlighting supports a wide range of languages including JavaScript, TypeScript, jsx, tsx, Vue, Svelte, PHP, ReasonML, Python, Markdown, Scala, and Ruby.
The main feature of GraphQL: Syntax Highlighting is its ability to provide syntax highlighting for .gql, .graphql, and .graphqls files. Additionally, it supports inline GraphQL in multiple programming languages, enhancing readability and debugging.
