Fast, low-cost prompt testing and evaluations on GPT-3.5 Turbo model. Share results in one click. Bring your API keys.
Bring your API keys. Pay once, use forever.
Bring your API keys. Just type and run.
Great for early drafts, structure, and prompt scaffolding.
See what you gain by upgrading to newer models.
Jinja2 templates and inputs for real-data testing.
Links, transcripts, export.
We don’t train on your prompts and data.
LangFast empowers hundreds of people to test and iterate on their prompts faster.
A GPT-3.5 Turbo playground is a browser UI to test prompts and run quick evals on GPT-3.5 Turbo—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-3.5 Turbo 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.
There’s a free tier with fair-use limits. When you need more volume, you Pay once for lifetime access—not a monthly plans.
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 the model. 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.