

Scale your AI usage on a lower token bill
Boundless is the inference partner for AI-native companies, fitting the model and how it's served to your workload so each token costs less.
How we lower your bill
Start with the target that matters
Serving plan
We fit the serving plan to your traffic
Boundless profiles your traffic and fits the model, caching, and hardware to it.
- Estimate your bill
01Your trafficWe start from representative requests, sized by the input and output tokens your product sends.
- Estimate your bill
02Repeated contextRequests that share a prompt prefix are served from cache and billed at the cached rate.
- Estimate your bill
03Model and hardwareWe pick the model that fits your workload and run it on GPUs matched to its traffic.
- Estimate your bill
04Your targetSet the throughput or response time your product needs, and our engineers tune the serving to it.
Cost estimate
See your monthly bill before you talk to us
Price your workload at Boundless list prices, then see what caching changes.
Choose a model
Running another model? We'll benchmark open models on your workload against it. Request a benchmark →
Assumptions
Assumes 4:1 input/output · 24h/day · 30 days.
Optional service target
Token mix
Monthly tokens across all requests.
Boundless estimate
$36,806
per month · $441,677 a year
50% cache scenario
$9,850
less per month in this scenario
Projected savings based on the cache-hit percentage you enter. Actual cache hits and costs may differ.
- Reference · 0% input cache hits
- $46,656
- Scenario · 50% input cache hits
- $36,806
Final pricing follows a benchmark of your workload.
Model library
Better economics for frontier intelligence
Get started in seconds with our drop-in API.


The right model, served for less.


Boundless engineers pick the model for your workload, tune how it runs, and keep operating it as your traffic and the model landscape change.
How it works


• Step 1
Benchmark your workload
We test the models that meet your quality bar, context length, and latency target on your own traffic, then pick the one that costs least to run.


• Step 2
Tune how it's served
Our engineers set precision, parallelism, caching, batching, and routing for your traffic, so each token costs less to produce.


• Step 3
Keep it improving
We run it in production and retune as your traffic changes, and when a better model ships, we move you to it.
Build beyond the old cost curve.
Fit
Is Boundless right for your team?
Boundless is for AI-native companies moving open-weight models into production looking for better economics.
Talk to an engineer[ Fit 01 ]
Inference is central to your product and cost base.
[ Fit 02 ]
You are building on open-weight models or actively evaluating them.
[ Fit 03 ]
You have recurring production traffic, not a one-off experiment.
[ Fit 04 ]
You want a hands-on inference partner to customize your experience.


