AI model right-sizing
Cut your AI bill without breaking your app.
Same idea as EC2 rightsizing. Applied to AI models.
Connect OpenAI or Anthropic. See which workload, model or API key drives cost. Then test a lower-cost model before you switch.
Your savings opportunity
See what is worth rightsizing.
Monthly AI spend
$18,420
Across OpenAI and Anthropic
Potential monthly savings
$6,240
34% of the total bill, after validation
Cost driver
Customer Support
GPT-4o · OpenAI
52%
of model-attributed usage
Automated quality test
Let SpendLens prove the cheaper model works.
Start one safe test. Candidate calls run in your staging app with your keys. SpendLens evaluates quality separately with a redacted template and safe generated data.
The problem
A total is not an answer.
Your provider shows what you spent. SpendLens AI shows which project, model and API key caused it.
See a full sample analysis →Spend by app area
What caused the AI bill?
AI bill
$18,420
per month
Customer Support
$9,578 monthly
52%
Product Search
$4,236 monthly
23%
Everything else
$4,606 monthly
25%
Before and after
Customer Support model test
$9,578
Current
$3,338
After test
Potential monthly saving
$6,240
65% of Customer Support cost
34% of the full $18,420 AI bill
The value
See the saving before you make the change.
Compare the current cost with a cost-efficient model, then validate quality before switching production.
Analyze my AI spendFrom estimate to proof
Stop testing models one by one.
SpendLens AI finds the top three options for each part of your app. Candidate calls run in your staging application with your keys. Optional quality evaluation runs separately on SpendLens infrastructure.
- One Compare Mode setting in your SDK
- Only aggregate candidate results leave your application
- Hosted quality uses a redacted template and safe generated data
Controlled model test
Three real options. One clear result.
Example names and test results. SpendLens ranks candidates for each workload using its own data and policy.
3
models tested
No
production change
1
model to pilot
Separate customer example
$4K to $5K
monthly cost in one workflow
An early-stage team found the part of its AI bill worth testing first.
SpendLens AI identified a more cost-efficient model candidate. The team is validating quality before any production change or final savings claim.
Real customer example, separate from the illustrative $18,420 scenario above.
Built for engineering reality
Optimize cost without moving your AI traffic.
Your application continues calling OpenAI and Anthropic directly. SpendLens AI does not become your proxy, gateway or model provider.
No added request latency. No gateway lock-in. No application rewrite.
Find the first AI cost worth fixing.
Connect OpenAI or import Anthropic data and turn provider spend into an action your team can take.