00GIMBIX
Every company running on AI is flying blind on cost.
The bill climbs every month. No one can say which requests needed the expensive model, and no one can prove what a change actually saved.
01The problem
The same provider sells models 100× apart.
GPT-6 Luna costs $0.10 per million input tokens. GPT-6 Astra costs $10.00. Most teams send everything to the expensive end, because proving a cheaper model is good enough, request by request, takes time nobody has.
02The waste
You pay for the same work twice.
A repeated question is billed in full every time. A prompt with one changing line at the top silently breaks the provider's cache. In our runs, that one line made the bill 23.8% higher than using no cache at all.
03The turn
Cut the bill. Keep every answer level.
GIMBIX sits between your app and your AI providers. It changes how a request is served only after your own traffic proves nothing gets worse. Then it signs a receipt for every dollar it saves.
04How it works
Five ways to pay less. None of them switch on without proof.
Cache repair
ProvenMoves the one line that changes on every request to after the user's message, so the provider's cache works again. Same model, 82.6% lower cost, 90 of 90 answers identical.
Instant answers for repeats
ProvenExact repeats come back from the cache, free and 94× faster than asking the model again (median of our runs).
Checker gate
BuildingA cheaper model answers first, and a small checker reviews the answer before anyone sees it. Anything doubtful goes to the model you use today.
Compression
BuildingLong prompts and retrieved documents lose the words the model never needed, and only where the answers stay exactly the same.
Your own fast model
BuildingA small model trained on your own traffic takes the requests it has learned, on dedicated GPUs, for a fraction of the price and the wait.
05Proof
Every saving comes with a receipt.
Each receipt records what you would have paid, what you did pay, how the saving was made and the approval it ran under. It never contains your prompt. Anyone can verify it offline with one public key. Proven
The Fair Ledger will keep a small slice of your traffic running exactly as before, so the "before" price is measured, not guessed. When the numbers are uncertain, we bill on the low end. Building
receipt #1042 route cache repair approval pcr-eq-… expires in 7 days requests 48,210 baseline $1,914.22 billed $333.40 saved $1,580.82 statement sha256 9c1e…a07d signature ed25519 ok
Illustrative values.
06Privacy
Your prompts never have to leave your cloud.
Our receipts, reports and free savings audit hold counts and fingerprints, never text. The Local Sentinel will run all of GIMBIX inside your own infrastructure. Building
Open models can answer on servers you control. On our own machine, gpt-oss-20b answered all 400 banking questions and got 314 right.
07Every model
345 models. One connection.
Every major provider behind a single endpoint. Each model is priced from the live catalogue, metered from the provider's own response and tested before it carries a single one of your requests. Building
All model pricesCompare two models22 models on a public banking test
08Pricing
You keep at least 80% of every dollar we save.
- Save nothing, pay nothing. We only earn from savings we can prove.
- The first 30 days are free. See your saving before you pay a cent.
- The first $500 saved each month is fee-free. Most small teams never pay.
- A worse answer costs you nothing. That request is refunded and the route turns itself off.
09Results
Everything we measured, including what failed.
Each test had its rules written down before the data existed. A cheaper route ships only if, on requests it has never seen, it gets at most 3 answers wrong that your model got right, and at most 1 more wrong than it fixes. The banking routes nearly matched the models they would replace. They still failed, so they do not ship, and we publish that too.
| Workload | Test | Right: route vs your model | Worse / fixed | Cost vs your model | Result |
|---|---|---|---|---|---|
| Support tickets | GPT-5.6 Luna first, GPT-5.6 Sol when unsure: picked on 400 tickets | 391 vs 390 | — | −79.0% | Picked |
| Support tickets | Same route on 148 tickets it had never seen | 142 vs 141 | 0 / 1 | −86.3% | Passed |
| Support tickets | Same tickets through the live gateway | — | 1 / 2 | −88.7% | Passed |
| Support tickets | Separate cloud run, bill checked by an outside meter | 31 vs 31 | — | −95.2% | Passed |
| Banking questions | gpt-oss-120b first, GPT-6 Sol when unsure: 400 new questions | 333 vs 334 | 16 / 15 | −98.0% | Failed |
| Banking questions | gpt-oss-120b first, Gemini 3.8 Flash when unsure: 400 new questions | 333 vs 338 | 21 / 16 | −97.8% | Failed |
“Your model” is the model the route would replace, as it ran in the same test. Against GPT-5.6 Sol at list price with no caching, the confirmed support route cost 97.4% less. The outside-meter run compares against the same tickets sent straight to GPT-5.6 Sol.
Asked the same 400 banking questions twice, GPT-6 Sol changed only 7 of its own answers. So a limit of 3 worse answers is fair, and the failures above are real differences, not noise.
10The vision
Every AI request, answered the cheapest way that is just as good. Proven on your traffic. Receipted to the cent.
- ProofPublic tests, wins and losses published.
- CustomersSavings proven on their own traffic.
- Your own modelsSmall models trained for each customer.
- The standardAn open receipt format for AI spend.
- AgentsCost and quality control for AI that acts on its own.
11The team
Built in public by Arhan Canli.
Founder, 15, Dubai. GIMBIX began with one question: why can nobody prove what an AI cost change actually saved? Every number on this page, wins and failures alike, comes from tests whose rules were fixed before the first result came in.
12Join
Be first in line.
Get early access to the free savings audit and the GIMBIX gateway. One email to confirm. After that, only updates worth your time.