Two precisely machined metal frames with the same opening: one solid, one slender, connected by a yellow measuring line.

AI MOVES FAST. MAKE THE PROGRESS YOURS.

Lower AI costs.
Same standards.

Better models. Falling costs. A moving target.

Par builds benchmarks around your company’s work and keeps testing AI models to find better quality at lower cost.

See how it works

SAME STANDARDS.
LOWER AI COSTS.
THAT’S THE IDEA.

THE STANDARD IS YOURS.
THE SEARCH IS OURS.The best model for your work keeps changing.
01 — WHY KEEP EVALUATING

Models move.
Costs fall.
Keep up.

A GREAT CHOICE TODAY
MAY NOT BE YOUR BEST CHOICE TOMORROW.

AI is improving fast. New releases can change the best model for a task in a matter of weeks. The model you picked at launch may no longer be your best option.

At a fixed level of capability, model costs have fallen by orders of magnitude. That creates a powerful reason to keep looking for better quality at lower cost.

Capture those gains
on your company’s real work.

FROM GENERAL CAPABILITY TO YOUR BUSINESS

Great benchmarks.
Your company needs
its own.

Public benchmarks are a great starting point. They help you understand model capabilities and shortlist the options.

But they don’t measure your product, your data, your policies, or what your customers call a good answer.

Par builds a benchmark from your real work, then keeps testing models against it. You see which model delivers the best quality and cost for each workflow.

YOUR COMPANY’S WORK
BECOMES THE TEST.
A

Answers the customer.
Follows your policy.

B

Reads the document.
Gets the details right.

C

Finds the answer.
Shows the right source.

02 — SEE THE IDEA IN ACTION AN INTERACTIVE EXPLANATION

Your benchmark.
Your best fit.

Same tasks. Same quality requirements.
Compare the results and the cost.
Try a company-specific example below.

FICTIONAL MODELS · ILLUSTRATIVE RESULTS
YOUR WORK.
YOUR QUALITY STANDARD.

Resolve customer questions accurately, in your tone, within your policy.

THINNER FRAME = LOWER MODEL COST ↓
MODEL / 01✓ MEETS YOUR BAR
CURRENT BASELINE

Current model

$24,000/ mo
Task pass rate
98.1%
P95 latency
1.8s
MODEL / 02✓ MEETS YOUR BAR
↗ THE BETTER FIT

Alternative A

$9,600/ mo
Task pass rate
96.6%
P95 latency
1.2s
MODEL / 03× BELOW YOUR BAR
DOESN’T MAKE THE CUT

Alternative B

$3,600/ mo
Task pass rate
91.3%
P95 latency
0.7s
Move the slider to see which models qualify.
90%95%100%
95%
THE LOWEST-COST QUALIFYING MODEL

Alternative A meets your standard for less.

$14,400less model spend / month · 60% reduction

An example, not a savings promise. This simplified demo uses fictional pass rates. Real comparisons also check important failures, speed, data requirements and the full cost of getting the job done. No live evaluations run here.

03 — HOW PAR WORKSYOUR WORK. A FAIR TEST. A CLEAR DECISION.

Your work.
Your benchmark.

A benchmark is a repeatable test.
Yours is built around what your business needs.

01

Build your benchmark.

Turn your workflow, data and quality requirements into a repeatable test.

Use real inputs and expected results from your product. Include common tasks, your business rules and the important cases that must never go wrong. Agree on what passing means before comparing models.

Your tasksYour rulesYour quality standard

A test built for your business.

02

Find your best fit.

Measure the quality, speed and cost of your current model and alternatives.

Use public benchmarks to shortlist candidates, then test them on your company’s benchmark. Compare the full cost of a successful task, including retries and review. Find lower costs while meeting your quality requirements, or better quality where it matters.

QualitySpeedTotal cost

See what costs less and where it holds up.

03

Keep it current.

Keep testing new models as capabilities improve and prices fall.

Re-run your benchmark when relevant models, prices or your workflow change. Review the evidence and validate a promising option before switching. You stay in control, including the decision to keep your current model.

New modelsFresh comparisonsYour decision

Know when progress becomes an opportunity for you.

04 — WHAT YOU GETLESS SPEND. THE STANDARDS YOU EXPECT.

Better quality.
Lower costs.

Get more from every dollar of AI spend,
as the options keep improving.

01 / LOWER COSTS

Capture the falling cost of AI.

Find out when a newer, cheaper model can meet your requirements. Turn market-wide price improvements into savings on your own workflows.

02 / QUALITY FIRST

Improve what your customers get.

Measure the answers, outputs and behaviors your product needs. Find quality gains that matter to your business, while keeping cost in view.

03 / LESS EVALUATION WORK

Keep up without starting over.

Keep one company-aligned benchmark current and use it to compare new releases. Give your team evidence for the next decision, without rebuilding the evaluation each time.

A current view of what works best for your company: the quality, the cost, and the evidence behind the choice.

What could a better model choice save?

Try a savings scenario using your own assumptions. Actual savings depend on your workflow and the full cost of a change.

$
Your current model bill
%
Work that meets the quality bar
40%
Lower cost on eligible work
Factor in the cost of change
ILLUSTRATIVE FIRST-YEAR
NET SAVINGS
$72,000

$6,000 / month before one-time costs.

A scenario, not a forecast. Equal workload and acceptable quality assumed. Include extra tokens, retries, and fallback usage in your estimates. Evaluation and switching costs default to zero—add yours above.

YOUR FIRST WORKFLOW

Start with
a clear standard.

Create a practical evaluation brief. It stays in your browser until you download it.

No signup. No data sent. A Markdown file you can use.
THE DETAILS MATTER.

Common
questions.

Why do we need our own benchmark?+

Public benchmarks are valuable for comparing general capabilities. Your company’s benchmark checks the tasks, data, policies and quality requirements that make your product useful. Use both: public results to find candidates, and your own results to decide what to use.

What if our current model is already the best fit?+

Keep it. A useful evaluation should be able to recommend no change. The benchmark gives you a baseline to revisit when models, pricing, or your requirements change.

How do you protect quality?+

You define what a good result must do. Each model is tested against those requirements, including important failures and different types of tasks. Meeting your standard does not mean every answer is identical. A lower price alone is never enough to recommend a switch.

Would Par switch models automatically?+

No. The proposed product gives you a recommendation and the evidence behind it. You review the results and try a controlled rollout before approving a change, with a way to return to the previous model.

What about sensitive workflow data?+

Before any real evaluation, agree on which data can be used, which providers can receive it, and how it is protected. This website does not upload workflow data or connect to model providers. The brief builder works only in your browser.

Can we use Par today?+

Par is a product concept. The examples, calculator, and brief download work, but they do not run real model evaluations. All model results shown here are fictional and illustrative.