GPT-4o Playground for Prompt Testing

Test prompts on GPT-4o, compare outputs across models, and measure cost/latency for the best production fit.

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 Playground

Start instantly

Bring your API keys. Just type and run.

Compare outputs

Side-by-side across multiple providers.

Test with variables

Jinja2 templates for realistic evaluation.

Run evals

Validate formatting, consistency, and edge cases.

Share & replay

Links, transcripts, and export.

Private by default

We don’t train on your prompts and data.

Why Us over other LLM Playgrounds

Other playgroundsFrom VC-baked companies

Product feels like a sales-led platform
Too many features, too little clarity
Requires configuration to do basic tests
Lock you into expensive monthly plans
Small teams get second-class support
VC-backed (optimized for investor returns)

GPT-4o PlaygroundPowered byLangFast

Fast signup. Bring your API keys.
Built for quick “type → run → compare”
Good defaults, minimal setup
One-time lifetime pricing that makes sense
Support that doesn’t gatekeep
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 đŸ‡ș🇩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 đŸ”„Jul 14, 2025
Rajiv Dev
Rđ—źđ—·đ—¶đ˜ƒ.đ—±đ—Č𝘃Jul 17, 2025
I saw your app yeah that was usefullJul 17, 2025

Frequently Asked Questions

A GPT-4o vision playground is a UI for prompt testing and evals on image+text tasks using GPT-4o—so you can validate behavior before building a multimodal pipeline.

Prompt testing and evaluations for vision: extraction, classification, captioning, grounding, and structured outputs—run repeatedly on the same image set to measure consistency.

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

To prevent abuse, apply fair-use limits, and let you save runs, reuse test sets, and share results with your team.

Grounding accuracy (is it describing what’s actually there?), instruction following, sensitivity to ambiguous images, and stability across repeated runs.

Yes. Vision tasks often need strict output—use eval prompts that enforce schemas and measure how often formatting breaks.

Yes. Reuse the same image set to run regression tests and compare output drift across models and prompt changes.

Yes—run the same images and prompts side-by-side across providers to compare quality, cost, and latency.

Yes. Use prompts that force the model to say “unknown” when uncertain, and score how often it invents details that aren’t present.

Yes. Swap small prompt variations and measure changes in extraction accuracy and formatting compliance.

Yes—export to cURL/JS/JSON so your team can reproduce the exact call and parameters.

Yes. Save transcripts, keep prompt versions, and share links for review or sign-off.

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 vision evals.

We stream responses via a lightweight proxy. Latency varies by GPT-4o and load; compare first-token time across models directly.

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

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

LangChain helps you build multimodal apps. LangFast helps you test vision prompts and evaluate outputs before you build.

Those tools manage datasets, evals, and tracing inside workflows. LangFast is the interactive bench to validate vision prompts and compare models quickly.

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