Control your AI spending

Cut your AI bill.
Not your quality.

Amperes sends every AI request to the best-value model that can do the job. You spend about half as much, with quality held.

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Works with every major model
OpenAI Anthropic Google Gemini Meta Llama AWS Bedrock Mistral DeepSeek Qwen
How it works

One line. Three wins.

01

Plug in

Point your app at Amperes — one line of code.

02

We route

Every request automatically goes to the best-value model.

03

You save

About half the bill, quality held, full audit trail.

The math

Same answers. About half the bill.

Sending every request to one flagship model is how the bill balloons. Amperes routes each one to the cheapest model that still does the job — roughly half the cost at today's prices, with quality held.

100 One flagship model for every request ≈50 Routed by Amperes cheapest model that fits ≈50% lower

Indexed projection at current provider prices, versus sending all traffic to a flagship model (e.g. Claude Opus or GPT‑5). Lighter chat and agent traffic typically saves more; the free shadow audit measures your exact number. Our 10,000‑prompt benchmark hit 98% in the extreme single‑model case — see Benchmarks.

Live · try it yourself

Try it.

Type a prompt or pick an example. Watch Amperes choose a model, answer live, and show what it cost.

Try
Pick a prompt above. Routing decision streams in before the first token.
Free · no integration required

See your savings before you change a thing.

Send a sample of last week's AI requests. We'll email back what you'd save with Amperes — and proof the quality holds. No setup.

We read any column named prompt, input, or message; everything else is kept as metadata. Your file is encrypted and deleted after we send your report.

What you see day-to-day

The dashboard.

One screen: where your AI money goes, what you're saving, and any problems — live.

amperes.pro/dashboard · live_routing · illustrative
Requests / hr
12,847
↑ 8.2% vs last hour
Avg cost / req
$0.0019
↓ ~50% vs baseline
Escalation rate
3.4%
→ steady
P95 latency
1.2 s
↓ 180 ms
TimeTaskTierModelCostSaved
14:03:12extractionlowgpt-5-nano$0.0011$0.0039json
14:03:09codingmedclaude-sonnet-4-6$0.0052$0.0049
14:03:05planninghighclaude-opus-4-7$0.0189—escalated
14:03:02qalowllama-3.1-8b<$0.0001$0.0009
14:02:58summarizationlowclaude-haiku-4-5$0.0010$0.0034
14:02:54extractionlowgpt-5-nano$0.0011$0.0039pii redacted
CRITICAL openai/gpt-5-mini · p50 latency up 233%
Baseline 1,500 ms → recent 5,000 ms. 50/50 samples. Detected 11:47.
→ demoted in scorer · webhook fired to on-call
WARN anthropic/claude-sonnet-4-6 · error rate +6.8 pp
Baseline 0.4% → recent 7.2%. Detected 11:39.
→ health weight × 0.6 · 38% of coding moved to opus
See your savings

See it on
your traffic.

Send a sample of your requests. We'll show exactly what you'd save — free, no setup.

Book a demo