// AI Cost Intelligence Platform
Cut your cost per inference
without dropping quality.
Paste your production prompt, test it against up to 20 models side by side, and see the cheapest one that still hits your quality bar. Most teams find a 3-10x cheaper model in under five minutes.
120+
engineers
36
models available
490+
API calls in dataset
Best AI Use
Contra/Bubble award
// 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 optimisation 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. 36 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.
Multi-step workflow testing
Chain LLM steps like your agent does - pass output from one model as input to the next. Find which hop can move to a cheaper model without breaking quality on your real workload.
Image analysis comparison
Upload an image with your prompt and compare vision models on the same task. See quality, detail, 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.
// 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 multi-step agent workflows and find which hop can move to a cheaper model without breaking quality.
LLM product teams
Optimize high-volume production steps with real prompts, real latency, and real cost at scale.
// 36 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
One prevented integration mistake pays for itself many times over. Tracking tells you you're overpaying. We tell you exactly what to switch to - tested on your real prompt, quality verified, so the switch won't break anything.
Spend dashboards that only show which model you already overpaid on
Quality-verified switch on YOUR prompt
Generic benchmark tasks
Test YOUR prompts
Cached or pre-computed leaderboard results
Real API calls
No exact per-run API costs
See exact API costs
Research-only model comparisons
Pre-build and post-live validation
// Free tool
Estimate your API overspend in 30 seconds
See how much you could save by switching models on the steps that actually matter — then verify it with a free test on your real prompt.
Your inputs
Teams testing real prompts typically find 50–75% savings on optimizable steps. Run a free test to replace estimates with your numbers.
Estimated savings
$1,031 /mo
$12,375 per year · optimized bill $1,469/mo
// Testimonials
Teams cutting API costs with real data
What builders say after running their production prompts side by side.
“We swapped one default model on a high-volume step and cut that line item by 72% - the test took 30 seconds, not a week of spreadsheets.”
Engineering lead
B2B SaaS, 40k MAU
“Client demos used to mean copying prompts into five playgrounds. Now we run the chain once, show the bill at 1M runs, and the margin conversation is easy.”
Founder
Software agency
“Our agent has four LLM steps. Testing the whole workflow - not just the final reply - showed us exactly which step could move to a cheaper model.”
Head of AI
Agentic platform
// PRICING
Pay only for what you use
Start with daily free test. Top up when you need more. Upgrade to Pro when you're running enough tests to make the lower markup worth it.
FREE
One real free test every day. Enough to explore the platform and get a feel for differences between models.
- 1 free test every day (resets 00:01 UTC)
- Up to 5 models per test
Pay as you go
Most flexibleTop up when you need more tests. Credits roll over and never expire. Best if you test in bursts rather than daily.
- Unlimited tests (credits deducted per run)
- Up to 10 models per test
- x3 markup on API credit purchases
PRO
Lower markup on every test plus more models per run. Better value once you're running tests regularly.
- Unlimited tests (credits deducted per run)
- Up to 20 models per test
- x1.5 markup on API purchases
- First access to new flagship models
- Priority support
// FAQ