Insights
AI Model Cost: Why the Right Model Matters
Casey Rowland
TL;DR
Any AI runs on LLM models, and model usage vary widely in cost. A top-tier model can cost many times more per request than a smaller, faster one.
Locking your support tool to one model is a trap: a premium model overpays on easy questions, and a cheap model underperforms on hard ones.
Weav is a managed model platform. You do not choose the model per question, Weav does, picking a strong model at the lowest cost that answers it well.
The result: no model configuration to manage, and your credits stretch further because you are not overpaying on every reply.
After talking with a few of our customers, one of the biggest things that continually comes up in conversation is what model our users should be utilizing. Here's the thing, you shouldn't have to manage which AI model you use to support customers.
Models change so often, and each one is designed to do something different. Sometimes you only need a simple model to answer simple questions. Sometimes, you'll need a more powerful model to help customers.
But why spend so much money on simple questions or statements. Answering to "hi" shouldn't cost an arm and a leg because you're using a powerful model to answer "How can I help?"
We've put together this post to help you understand what drives AI model cost, why being tied to a single model works against you, and a better way to handle it.
What drives AI model cost?
AI model cost is what you pay for a model to read a request and generate a response. Typically, you'll pay by usage, measured in tokens or small chunks of text. The token rates vary widely across the different providers.
Like everything in life, the important part to recognize the tradeoff between cost and quality. A more expensive model is not always necessary. Many everyday support questions (store hours, order status, a simple policy) can be answered perfectly well by a smaller, cheaper model. Reserving the premium model for the genuinely hard questions is where the token savings are found.
The hidden cost of picking one model
There are no other tools in the market that use multiple models in their platform. They'll either lock you to a single model or make you choose one yourself. Which sucks because a support queue is a mix of easy and hard questions, and no single model is the right price for all of them.
Your choice | Easy questions | Hard questions |
|---|---|---|
Lock to a premium model | Overpaying for simple answers | Handled well, but expensive |
Lock to a cheap model | Efficient | Weaker answers, more escalations |
Managed routing (Weav) | Right-sized and cheap | Strong model when it is needed |
Picking a model yourself also assumes you want to become a model expert, tracking which model is best this month and re-testing every time providers release something new. Its not a job that most teams are ready and willing to undertake.
A better way: managed model routing
Weav is a managed model platform. You do not select the model for each question, Weav does. For every request, Weav routes to the strongest model at the lowest cost that can answer it well. Simple questions get an efficient model; harder questions get a more capable one. You never configure a model, and you are never stuck overpaying on the routine volume that makes up most of a support queue.
The point is to align cost with the job. A message that a small model can resolve should not cost the same as one that needs a flagship model. Managing that automatically, on every message, is the difference between a bill that tracks value and one that tracks whatever model you happened to pick.
Why this matters for your bill
Weav plans are metered by usage, so efficiency compounds. When each question is answered by the right-sized model instead of an expensive default, the same balance of credits covers more conversations. You customers get the high quality answers they're expecting, and you get save token usage on questions that never needed high token usage.
It is the same philosophy behind everything we build here at Weav: resolve the customer's problem, and do it efficiently. Get the best model on every question, without managing any of it.
Weav picks the right model for every customer question automatically, so your team gets quality answers and your credits go farther. Explore Weav or get started free.
Frequently asked questions
What is AI model cost?
AI model cost is what you pay for an AI model to process a request and generate a response. Providers usually charge by usage, measured in tokens. The rate depends on the model: larger, more capable models generally cost more per request than smaller, faster models.
Do I choose the AI model in Weav?
No. Weav is a managed model platform, so you do not pick the model for each question. Weav selects a strong model at the lowest cost that can answer the request well, automatically, on every message. There is no model configuration to manage.
Does a cheaper model mean worse answers?
Not for most questions. A large share of support requests are routine and are answered accurately by smaller, efficient models. The goal is to match the model to the question, using an efficient model for simple asks and a more capable model for complex ones, rather than paying premium prices for every reply.
How can I use multiple AI models at low cost?
Use a platform that routes between models for you. Instead of committing to one model, a managed approach sends each request to the most cost-effective model that can handle it. This captures the quality of top-tier models on hard questions while keeping the cost of everyday questions low. Weav does this automatically.
How does Weav keep AI costs down for customers?
Weav right-sizes the model to each question rather than running everything on one expensive model. Because plans are metered by usage, answering routine questions with efficient models means your credits cover more conversations, so your budget goes farther without sacrificing answer quality where it counts.
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Casey Rowland
