AI Cloud · AI Cost Clinic
Cut AI token spend with Nebius-backed deployments.
If your AI bill is growing faster than your product, we'll benchmark where the spend is coming from and show how Nebius-backed open-weight deployments can lower your cost per token without losing production quality.
The cost clinic
A focused look at where your AI money goes - and how to keep more of it
How API spend compounds
Where per-token pricing, retries, and context bloat turn into a runaway cost-of-goods line.
How Nebius reduces cost per token
Moving high-volume workloads onto open-weight models and dedicated Nebius GPUs you can tune.
What the clinic includes
A benchmark of your current spend and a costed plan to lower it without losing production quality.
Where spend goes
How API spend compounds
Usage rarely grows in a straight line. A successful feature drives more calls, longer contexts, and more users - and a bill that was a rounding error last quarter becomes a board-level line item this one.
The traps are easy to miss. Retries on timeouts, oversized context windows, and reaching for the largest model "to be safe" each add cost on every single request, multiplied across millions of calls.
The result is teams paying premium retail rates for tokens they could serve far more cheaply - without ever seeing where the money actually goes. The clinic makes that visible first.
How Nebius reduces cost per token
Open-weight models let you shift recurring inference off proprietary APIs and onto infrastructure you control, so volume works in your favour instead of against your margin.
Post-training and distillation shrink the model you actually serve - a smaller, tuned model that keeps the behaviour you need costs less on every request.
Then Nebius does the heavy lifting on GPU efficiency, deployment topology, and production inference, so the savings hold up under real load.
Lower cost per token
Serve high-volume workloads on open-weight models and dedicated GPUs instead of retail API rates.
Predictable pricing
Capacity you reserve and control, so spend scales with your plan - not with a vendor's price list.
Better control
Own the weights and the behaviour, and tune the deployment for your latency and quality targets.
Side by side
Current API stack vs Nebius-optimised stack
Illustrative, not a quote - the clinic puts real numbers against your own workloads.
Current API stack
- Cost per token
- Retail per-token pricing that climbs with every new user.
- Control over model behaviour
- Black box - you prompt around fixed behaviour.
- Ability to post-train
- Not available on closed, proprietary models.
- Infra overhead
- None - but no leverage on cost, either.
- Production readiness
- Fast to start, hard to optimise later.
Nebius-optimised stack
Recommended- Cost per token
- Open-weight models on dedicated GPUs you size and tune.
- Control over model behaviour
- Own the weights and align behaviour to your domain.
- Ability to post-train
- Fine-tune and distil for your tasks and data.
- Infra overhead
- Managed by Zenvue on Nebius, sized to your workload.
- Production readiness
- Benchmarked and monitored before anything ships.
The engagement
What the clinic includes
Inputs
A view of your current AI usage and bill - workloads, model choices, rough volumes. No raw data or secrets required.
Output
A benchmark of where your spend goes and a costed plan to lower cost per token on Nebius without losing quality.
Timeline
One working session with our team, and a written readout within 5 working days.
One working session, readout in 5 days. The cost clinic is our primary, no-obligation entry point - a fast, concrete way to see what owning your AI stack on Nebius would save you.
FAQ
AI cost clinic: common questions
How can I reduce LLM inference cost?
The clinic finds where your token spend concentrates, then models the saving from moving high-volume workloads to open-weight deployments on Nebius - typically a large drop in cost per token without losing production quality.
What do I need to bring to an AI cost clinic?
Your current model usage and bill - request volumes, prompt and response sizes, and the models you call. The more detail on your highest-traffic workloads, the sharper the cost analysis.
What do I get out of the clinic?
A written readout: where your spend comes from, which workloads are worth migrating, the projected cost per token on Nebius, and a prioritised migration plan you can act on.
How long does the AI cost clinic take?
One working session with our team, with a written readout typically within five working days - fast enough to inform a near-term budget or board conversation.
Will moving to Nebius hurt model quality?
Not when it is done deliberately. We benchmark candidate open-weight models against your current outputs so the migration lowers cost per token while holding the quality your product depends on.
Ready to benchmark your AI spend?
Bring your current AI bill; leave with a costed plan to lower it. One working session, a readout in 5 days, no obligation.