o4 Mini Deep Research Playground for Deep Research Evals

Run deep-research tasks with o4-mini, compare results, and compile useful answers with traceable sources.

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 o4 Mini Deep Research Playground

Run research workflows

Turn a question into a structured investigation you can repeat.

Compare research quality

Test deep-research results across models for coverage and usefulness.

Template your research

Variables for query sets, constraints, and evaluation rubrics.

Save & share

Replayable runs, transcripts, and export for your team.

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

Research workflows are awkward to run
Hard to compare outputs across attempts
Too much setup for simple investigations
High pricing for “knowledge” features
Support favors enterprise contracts
VC-backed (optimized for investor returns)

o4 Mini Deep Research PlaygroundPowered byLangFast

Quick signup. Bring your API keys.
Designed for research prompts and evals
Repeat runs without configuration overhead
Pay once for lifetime access, not huge plans
Support for real users, not only buyers
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 o4 Mini Deep Research Playground for Deep Research Evals deep research playground is a UI for prompt testing and evals on research-style tasks—structured prompts, repeatable runs, and comparisons against other models.

Evaluating research behavior: coverage, structure, reasoning quality, and consistency across repeated runs—without building a research pipeline first.

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

To prevent abuse, keep free limits fair, and let you save research runs, reuse prompt sets, and share results with collaborators.

Coverage (did it miss key angles?), structure (outline quality), faithfulness to constraints, and how reliably it follows your requested format.

Rerun the same research brief multiple times and compare: do the main claims drift, does structure collapse, do key sections disappear?

Yes. Define criteria like “coverage, specificity, actionability, clarity” and score outputs consistently across runs and models.

Yes. Run the same brief side-by-side to decide if deeper output quality is worth the extra cost/latency.

Yes. Evaluate outputs as memos, PRDs, competitive analyses, briefs, checklists, or structured tables—whatever you need to ship.

If your workflow requires citations, add explicit constraints and test whether the model follows them consistently (and how it behaves when uncertain).

Yes. Save a research prompt set and rerun it after model changes or prompt edits to detect regressions in coverage and structure.

Yes. Inject product context, customer segments, constraints, and real inputs to make research prompts production-like.

Yes—export to cURL/JS/JSON so the exact call can be reproduced programmatically.

Yes. Share links for review, edits, or stakeholder alignment.

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 the reset or add paid usage to keep running research evaluations.

We stream responses through a lightweight proxy. Research tasks vary by model and load; compare latency across models directly.

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 processing regions and details.

LangChain is for building research agents and pipelines. LangFast is for testing research prompts and evaluating outputs before you build automation.

Those tools help manage datasets, tracing, and evals in workflows. LangFast is a fast interactive bench to compare research outputs and pick prompts/models first.

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