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Sunset is out, our first open-source release.See what it does

Model prices differ by up to 50x.Find out which one your code actually needs.

Applied Benchmark runs cheaper and faster models against your code, prompts and evals. When one holds up, you get a pull request with the numbers. When it doesn't, you keep what you have.

Illustrative report. Model names and numbers are placeholders.

Most teams never switch models.Not because they can't. Because they can't tell if it's safe.

  1. 01

    Leaderboards don't test your task.

    Benchmarks measure general skill. Your prompts, your data and your edge cases decide which model is good enough for you.

  2. 02

    Testing a switch is a project nobody has time for.

    Write evals, run both models, compare the output. It keeps slipping, and the expensive model stays.

  3. 03

    Then a retirement date forces the switch anyway.

    Providers retire models every few months. Without numbers ready, you pick a replacement under a deadline and hope it holds.

What we do.Three ways to stop guessing about models.

Sunset is where we start.Free, open source, and ready for your CI today.

Built to be trusted.It runs in your CI, cites its sources, and sends nothing back.

Lives in your pull requests

Line annotations, a summary on the PR, and SARIF for GitHub code scanning.

Nothing comes back to us

Sunset runs in your CI or your terminal. Your code stays there.

  • Apache2.0
  • Notelemetry
  • Noaccount
  • NoAPI key

Every date has a source

Each entry links to the provider's own notice, so you can check it.

One step in your workflow

No config, no sign-up. Or run it locally first.

.github/workflows/sunset.yml
- uses: AppliedBenchmark/sunset@v1
$ npx @appliedbenchmark/sunset scan .

Questions.Short answers.

What is Applied Benchmark?

We help teams that run language models in production find the cheapest, fastest model that still does the job, tested on their own code and evals. Sunset, our open-source scanner, is out today. Sunrise, which runs those tests, is what we're building next.

Is Sunset really free?

Yes. It's Apache-2.0, with no account, no API key and no usage limits. Sunrise will be a separate paid product, and Sunset will never depend on it.

Does my code leave my machine?

No. Sunset reads your files locally, has no telemetry and doesn't use an LLM. Its only network call fetches the latest registry from GitHub. If you'd rather it made none, set registry: bundled.

Which providers does Sunset cover?

OpenAI, Anthropic, Gemini API, Vertex AI, Amazon Bedrock, Azure OpenAI and Mistral, plus DeepSeek on a best-effort basis. OpenRouter slugs like openai/gpt-4.1 get the dates of the model behind them. Missing one you use? Adding it is a pull request.

How do you know the dates are right?

Every date in the registry is quoted word for word from the provider's own page, with a link to it. CI checks each quote against a stored copy of that page, and a daily job opens a pull request when a provider changes theirs. A person reviews every one.

Will it break my build?

Only when it should. By default a run fails on models that are already retired or retire within 30 days, and warns from 90 days out. Model IDs in docs never fail a run. You can change all of this in .sunset.yml, or snooze a model with a reason and an end date.

What can't Sunset catch?

A model chosen at run time, from an environment variable or a variable, can't be read from your code. Sunset lists it as unresolved and never fails a run on it. It checks the IDs in its registry, and IDs in documentation are listed as mentions only.

How will Sunrise work?

We run your current model and a candidate side by side on your own evals, inside your CI. If quality holds, you get a pull request with the change and the numbers behind it. If it doesn't, you get the numbers and no pull request.

What will Sunrise cost?

We're setting early-access pricing together with our first teams. Join the list and tell us what it would be worth to you.

Stop paying for the leaderboard.Pay for what your code needs.

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