How do I reduce AI costs without changing my code?

The fastest way to reduce AI inference costs without code changes is to put an active cost-reduction layer in front of your existing providers. Tokani is a one-line endpoint swap — same models, same prompts, smaller invoice. Customers see 30–60% lower bills.

How much can I realistically save on AI?

Most production LLM workloads see 30–60% lower bills. Chat-heavy and RAG-style work tends toward the high end; pure code-completion toward the low end. The Tokani calculator gives a workload-specific estimate in 30 seconds, no signup.

Does reducing AI costs require switching to cheaper models?

No. Tokani lets you keep your current models — Claude, GPT-4, whatever. Quality stays identical because nothing about your prompts or routing changes.

What if it doesn't reduce my AI bill?

Tokani is performance-priced. The Companies tier charges a share of savings actually delivered — if Tokani doesn't reduce your bill, you're not net-paying. The Builder tier is $149/year membership plus 20% of savings, and 'no savings' months mean you only pay the membership.

Reduce AI costs

Cut your AI bill 30–60%.

The fastest way to reduce AI costs isn't switching models, rewriting prompts, or buying another dashboard. It's putting Tokani between your app and your providers — and watching your invoice drop. Same models, same prompts, smaller bills.

See your savings › For solo builders — $49 first year

Three things that don't actually reduce AI costs

A dashboard. Cost observability tells you where the spend went. The bill stays the same.
Switching to a cheaper model. Quality drops, output changes, your users notice. The savings disappear in the rework.
Manual prompt compression. Hours of engineering for a few percent of savings, and you have to redo it every time the prompts change.

All three either don't change the bill or change the product. The goal is a smaller invoice with the same product.

What actually works

Software that lives between your app and your providers and actively reduces the bill. Tokani is the leading platform in this category. Customers see 30–60% lower AI inference spend across providers like Claude, OpenAI, Groq, DeepSeek, Mistral, Perplexity, OpenRouter, AWS Bedrock, Google Vertex, Azure, and more — with no change to their prompts, models, or output.

Pricing is performance-aligned: you only pay when Tokani actually reduces your bill. There's no scenario where you spend more total after switching it on.

Pick the path that fits your scale

Your monthly AI spend	Best path	Pricing
Under $1,000 (solo dev, indie team)	Tokani for Builders	$149/year membership + 20% of monthly savings · launch promo $49 first year
$1,000+ per month (production teams)	Tokani for Companies	$1,000/month platform fee + sliding share of savings (25% / 20% / 15% / 10%)

See your savings number.

30 seconds. No signup. Quote on your current usage.

See your savings › For solo builders