// AI Cost Intelligence Platform
Cut your cost per inference
without dropping quality.
Paste your production prompt, test it against the models you pick side by side, and see the cheapest one that still passes a quality rule you write in plain words.
120+
registered users
50+
models available
490+
API calls in dataset
Best Use of AI
Bubble × Contra AI hackathon
// Why this matters
API costs are the silent margin killers for AI-powered products
$1,090 wasted
monthly on single LLM step
Most AI teams set GPT-4o as the default model and never revisit it. One step running 100K times a month at $0.0112 instead of Grok at $0.0003 costs over a thousand dollars more - every month.
5-10h lost
to manual model evaluation
Teams doing cost-cutting sprints manually test models by copying prompts into different playgrounds, noting results in spreadsheets, and trying to remember which run cost what.
6 weeks
Average model updates
The model landscape changes every 3-6 weeks. DeepSeek launched and made GPT-4o look expensive overnight. Most teams don't re-evaluate until the bill becomes a problem.
// The solution
One tool. 50+ AI models. Real data.
Paste your production prompt, pick models, run them simultaneously, and get side-by-side data to decide which model to ship to production.
Single-step tests - cost & latency
Paste a production prompt, pick models, and run them in parallel. Every response includes token counts, latency, and estimated cost so you can compare side-by-side in seconds.
Workflows: a chain of tests, run in order
Chain up to 10 prompts, each with its own models. Run them one by one and get clear results for every step. The Runs tab keeps every run and compares them, so you see what changed in cost, speed and answers. Put a spend cap on a run, or import the model steps from an n8n file.
Image analysis comparison
Attach an image or a PDF (each page is read as an image) and compare vision models on the same task. See the answers and per-call cost across providers - not generic vision leaderboards.
Community benchmark data
See which models win for each task type based on real tests run by engineers on the platform - aggregated from winner selections, not synthetic eval suites.
// How it works
Three steps from prompt to decision
Run tests for each LLM step in your product - single-step or multi-step workflows.
New testCompare test
One prompt, every model you pick, side by side with real cost and speed.
// Who we serve
Teams with real API volume
We focus on builders where model choice is a COGS decision. Inference is your COGS - most teams overpay on 60-80% of it because nobody tested the cheaper model on their actual prompts.
Software agencies
Ship AI features for clients and prove model choices with side-by-side cost data - not guesswork.
AI agent teams
Test each model-calling step of an agent as a workflow suite and see which step can move to a cheaper model.
LLM product teams
Cut the cost of high-volume production steps with real prompts, real latency, and real cost at scale.
// 50+ models available
Compare flagship models from all major providers
New models added within days of release. Neutral testing - no provider bias.
// Vs alternatives
What you can't get anywhere else
Tracking tells you you're overpaying. We tell you exactly what to switch to - tested on your real prompt and checked against a quality rule you write.
// Free tool
Estimate your API overspend in 30 seconds
See how much you could save by switching models on the steps that matter - then verify it with a free test on your real prompt.
Your inputs
Teams testing real prompts typically find 50-75% savings on steps you can switch. Run a free test to replace estimates with your numbers.
Estimated savings
$1,031 /mo
$12,375 per year · new bill $1,469/mo
// A real test
Tested on real freight documents
We tested 14 AI models on freight rate confirmations.
14
models compared
5
documents from 3 broker templates
7
errors found across the models
83-89%
lower cost than gpt-4o on scanned documents, with the two best models
A small, real-world test, not a ranking of AI models. Costs are list prices on September 16, 2026. Run for Zonik AI, a product Eterna Creative co-founded.
Read the full test// PRICING
Pay only for what you use
Create an account and get 10,000 credits to run your first tests. Top up from $10 when you need more. Upgrade to PRO when you run enough tests to make the lower markup worth it.
Pay as you go
Most flexible10,000 credits included on signup
Create an account and get a 10,000 credit signup gift. After that, top up when you need more tests: $10, $30, $100 or any amount above $10. $10 buys about 33,000 credits. Credits roll over and never expire.
- Unlimited tests (credits deducted per run)
- Up to 10 models per test
- x3 markup on credit purchases
- Credits never expire
PRO
50,000 credits included every month
50,000 credits added every month while you subscribe, a lower markup on every top-up ($10 buys about 66,000 credits) and more models per run.
- 50,000 credits included every month
- Unlimited tests (credits deducted per run)
- Up to 20 models per test
- x1.5 markup on credit purchases instead of x3
- First access to new flagship models
- Priority support
New accounts also get a 10,000 credit signup gift: 3,000 credits for confirming your email, 4,000 for your first test and 3,000 for a short survey. Credits are what you spend on a run. 10,000 credits equal $1 of real model usage, before the plan markup applied when you buy credits.
// FAQ