Cost Calculator

How much are you
overpaying for inference?

Adjust the inputs below to match your current AI usage. InferLayer routes simple and medium queries to a cheaper model, caches semantically similar answers, and only sends genuinely complex queries to your frontier provider.

Your current usage
Queries per day
Current model input / output per 1M tokens
Official list prices, standard tier, checked September 2026. Google's Flash promo rates end December 31, 2026.
Avg input tokens / query
Typical question: 50–200 tokens. RAG or long-context: 500–2,000+.
Avg output tokens / query
Short answers: 50–150 tokens. Detailed responses: 300–800 tokens.
% complex queries
25%
Analysis, reasoning, long code = complex. Simple Q&A, summaries, extraction = not complex. Most enterprise workloads: 15–30%.
Expected cache hit rate
35%
Customer support / FAQs: 40–60%. General assistants: 20–35%. Highly unique queries: 10–20%.
Real enterprise workloads typically run 20–60%, depending on how repetitive they are. We measure yours during a diagnostic.
Projected savings
Current monthly spend
$0
raw API cost, no optimization
With InferLayer AI
$0
optimized spend
Monthly savings
$0
0% reduction in inference cost
Annual savings
$0
projected at same usage rate
Where the savings come from
Semantic cache hits
—
Cheaper-model routing
—
Selected model (complex)
—
Assumptions: default CPU/API tier (no GPU). Cache hits served at ~45ms, $0 cost. Simple / medium queries (~75% of total) routed after cache miss to a cheap API model (GPT-5.4 mini rates) — not a free local model, so savings are the price delta, not 100%. Complex queries (~25%) routed to your selected model at full price. If your selected model already costs less than the routing tier, routing saves nothing and savings come from caching alone. Cache hit rate reflects workload repetitiveness — enterprise workloads typically 20–50%. Benchmarked June 2026 on the default CPU/API tier (no GPU): ~50% cost reduction vs a frontier-model baseline over 100 live queries, 100% on warm-cache hits, and faster than the baseline. Load tested at 100 concurrent users with zero failures. The GPU/local-inference tier benchmarks separately.
Ready to see it live on your actual traffic?
Send us a sample of your logs and we’ll run a diagnostic against your real workload. No commitments.
Get In Touch →