GPT-4o Mini playground for Prompt Testing

Run GPT-4o mini for cheaper, faster iterations. Compare quality vs full models and pick the right balance.

Test your first prompt now

Bring your API keys. Pay once, use forever.

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800+ users already test and evaluate prompts with LangFast

Best GPT-4o Mini Playground

Fast iteration

Use Mini for quick loops and cheaper testing.

Compare outputs

See if Mini meets your quality bar.

Test with variables

Repeatable runs with real inputs.

Share & replay

Links, transcripts, export.

Private by default

We don’t train on your prompts and data.

Instant access

Bring your API keys. Start testing immediately.

Why Us over other LLM Playgrounds

Other playgroundsFrom VC-baked companies

Onboarding takes longer than testing
UI optimized for admins, not builders
Hard to compare runs cleanly
Pay for seats you don’t need
Roadmap favors enterprise requests
VC-backed (optimized for investor returns)

GPT-4o Mini playgroundPowered byLangFast

Signup is quick. Bring your API keys.
Clear runs, comparisons, and history
Start testing immediately
Pay for usage, not unused seats
Great support for small teams too
Bootstrapped (optimized for customer UX)

Explore All Features

  • Supported AI Models

  • GPT-5
  • GPT-5 Mini
  • GPT-5 Nano
  • GPT-5 Nano
  • GPT-4.5 Preview
  • GPT-4.1
  • GPT-4.1 Mini
  • GPT-4.1 Nano
  • GPT-4o
  • GPT-4o Mini
  • O1
  • O1 Mini
  • O3
  • O3 Mini
  • O4 Mini
  • GPT-4 Turbo
  • GPT-4
  • GPT-3.5 Turbo
  • Claude AI Models (soon)
  • Gemini AI Models (soon)
  • Model Fine-tuning (soon)
  • Model configuration

  • Custom System Instructions
  • Reasoning Effort Control
  • Stream Response Control
  • Temperature Control
  • Presence & Frequency Penalty
  • User Interface

  • Customizable Workspace
  • Wide Screen Support
  • Hotkey & Shortcuts
  • Voice Input (soon)
  • Text-to-Speech (soon)
  • Playground Experience

  • Prompt Library
  • Prompt Templates & Variables
  • Jinja2 Templates Support
  • Upload Documents (soon)
  • Language Output Control
  • Parallel Chat Support
  • Prompt Management

  • Prompt Folders
  • Edit & Fork Prompts
  • Prompt Versioning
  • Upload Documents (soon)
  • Share Prompts
  • Cost & Performance

  • Cost estimation
  • Token usage tracking
  • Context length indicator
  • Max token settings
  • Security and Privacy

  • Private by Default
  • API Tokens Cost Estimation
  • No chats used for training

    Integrations

  • Web Search & Live Data (soon)
  • Plugins

  • Custom Plugins (soon)
  • Image search plugin (soon)
  • Dall-E 3 (soon)
  • Web page reader (soon)
Wall of love

Meet LangFast users

LangFast empowers hundreds of people to test and iterate on their prompts faster.

@Rubik_design
Rubik@Rubik_design
Happy that @eugenegusarov built @langfast. This is the best LLM Playground and I tested so many!So much better than other playgrounds. Everything is right at hand when you need itLangfast PlaygroundAug 24, 2025
@codezera11
CodeZera@codezera11
That's exactly the kind of tool AI devs need in production. Prompt testing is the new debugging, and it eats up real time.Jul 17, 2025
Adrian
Adrian@shephardica
I've felt this pain in my day job - testing and validating prompts is currently difficult, error prone, and just not polished. Great problem to solve 👍Jul 13, 2025
Sasha Reminnyi
Sasha Reminnyi 🇺🇦Founder at Growth Kitchen
Great, had similar idea since launch of GPT, thanks for making that alive 🙏Aug 3, 2025
Glib Ziuzin
Glib ZiuzinFounder BUD TUT
Excited for this 🔥Jul 14, 2025
Rajiv Dev
R𝗮𝗷𝗶𝘃.𝗱𝗲𝘃Jul 17, 2025
I saw your app yeah that was usefullJul 17, 2025

Frequently Asked Questions

A GPT-4o Mini playground is a browser UI to test prompts and run quick evals on GPT-4o Mini—typically used when you want speed, low latency, or cheap iteration.

Fast prompt iteration: short cycles, lots of runs, lightweight checks for consistency and formatting, and quick comparisons against bigger models.

Yes. Bring your API keys. LangFast routes requests through our proxy.

To keep latency stable (rate limiting + abuse prevention) and to let you save runs, compare results, and share them with your team.

Whether the model is “good enough” on your tasks: format adherence, factual discipline (where relevant), and how often it fails on edge cases.

Run the same prompt set on GPT-4o Mini and a larger model, then compare pass rates and output quality against your rubric.

Yes. Save a prompt set and rerun it after prompt edits or model changes to catch quality drift quickly.

Yes. Speed-first models are often where formatting breaks first—use eval prompts that enforce your output contract.

Yes. Inject real data (support tickets, product specs, CRM fields) to test prompts the way they’ll be used in production.

Yes—side-by-side comparisons across providers make it easy to find the best cheap+fast option.

LangFast is free to use with some basic features. You need to provide your own API keys to run models and use the app. When you add your API keys, you pay the model provider (e.g., OpenAI) for the credits/tokens you use. LangFast premium features can be unlocked with a one-time purchase.

Wait for reset or add paid usage to continue running high-volume tests.

We stream responses via a lightweight proxy. Actual speed varies by model and load; use comparisons to measure first-token time and total latency.

It depends on GPT-4o Mini. We show the context window and key limits in the model picker.

Yes—export to cURL/JS/JSON so engineers can reproduce the exact request and parameters.

Yes. Share links for review and keep a record of the prompt version that produced the result.

No. We don’t train on your prompts or data. Sharing is opt-in and retention is configurable.

Requests route to model providers. See the Data & Privacy page for regions and processing details.

LangChain is for building and orchestrating apps. LangFast is for rapid prompt testing and evals before you build pipelines.

Those tools manage tracing, datasets, and evals inside workflows. LangFast is the fastest interactive test bench—ideal before you invest in tooling.

Ship prompts that pass the tests
Don't wait until they break in production
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