FlowHunt’s Credits section groups all the tools to give you a full overview of your spending, plans, and billing. You can check the price of each action, analyze groups of tasks over time, or quickly manage your subscription.
Many factors determine how many AI tokens a single Chatbot interaction will cost. Moreover, different models have different price points. To make it easier for you, we’ve condensed these into FowHunt credits that are easy to understand and track.
Understanding the pricing of AI Models
Before we discuss FlowHunt Credits, we need to cover how AI models are priced and what that means for you. This will help you understand why credits are a better choice.
AI uses Tokens to process language. It’s hard to translate what a single token really is, as it might be one word, only a part of the word, or even a single character. Also, remember that both input and output cost tokens.
Grasping how much a single token costs isn’t any easier. Models are usually priced in millions of tokens. For example, the lowest model of ChatGPT-3.5 can cost as little as $0.30 for 1 million input tokens and $1.50 for 1 million output tokens, while ChatGPT-4o can go up to $15.
The nature of a task can also significantly affect the pricing. That’s why several Flow Components let you limit the maximum number of tokens used, and the LLM OpenAI component lets you pick your preferred model. This can save you a small fortune in the long run.
What are FlowHunt Credits
The mysterious AI tokens convert into easy-to-understand FlowHunt Credits. A single FlowHunt credit is slightly less than a dollar, which is also reflected in our pricing. However, most of your AI calls will cost much less than a dollar, and some just fractions of a cent.
Think of 0.010 of Credit as approximately a single cent.
For example, if you see a charge for 0.056, you are paying 5.6 cents for that action. If you see one for just 0.006, you pay less than a cent.
The priciest task you’ll likely do is a crawling schedule of entire domains. While a single URL crawl costs just 0.01 credit (one cent), larger domains (100+ pages) already cost more than a credit.
We recommend you do extensive schedules less frequently and create separate schedules for single URLs that require daily or weekly crawling.
Guide to calculating your monthly Chatbot expenses
Let’s put the numbers into perspective. Imagine you run a smaller e-commerce site, and you need a simple customer service chatbot. Let’s see how much it would cost to train the Chatbot and have it handle an average number of monthly messages.
Initial training costs
On average, a smaller online shop will have about 200-400 pages. Let’s say yours has 300. To provide reliable answers based on your unique context, Flowhunt needs to crawl all of these URLs at least once. A single URL crawl costs just 0.01 credit, or in other words, about one cent:
300 (number of domains) x 0.01 (price of crawling one URL) = 3 credits ( ≈ 3$)
That’s an initial investment of 3$ for the bot to learn your website. Don’t forget to consider all the documents and other files you will upload. Indexing one document source usually costs a cent or less.
Of course, your website will change, and you’ll have to update this knowledge regularly by setting up periodic crawling schedules. You will not be charged for crawling existing content again. FlowHunt will consult the sitemap and only crawl the new and updated content for all future crawling schedules. The recurring price then depends on the frequency of crawling and amount of changes to your website.
Recurring chat costs
Let’s move to the star of the show — the Chatbot. How many customers will engage with it depends on several factors, such as your number of monthly visitors and type of audience. All we can do is estimate based on industry averages.
According to Wix and other notable sources, anywhere between 1K-10K monthly visitors is good for small and medium businesses. About 10-20 % of these visitors are likely to engage with the Chatbot.
Let’s calculate the number of chatbot sessions your website is likely to get if we assume that your monthly visitor count and chatbot engagement are somewhere in the middle:
15% percent of the 5000 monthly visitors is 750 chatbot sessions.
Each session will cost differently based on the number and difficulty of user queries. On average, users post four queries per session:
750 (likely number of monthly sessions) x 4 (average number of queries per session) = 3000 queries per month
But here’s the catch — each query is different. Processing “hello” and returning an answer costs as little as 0.024 of a cent (0.00024 of credit). In other words, you need 40 people to come and say hello for you to pay a single cent. That’s not always the case.
The good news is that most customer queries, no matter how complicated, are unlikely to cost more than 2 cents. Most queries will be somewhere around half a cent. Let’s add the benefit of the doubt and inflate the price per query to 1 cent.
3000 (number queries per month) x 0.01 of credit (high price per query) = 30 credits ( ≈ $30)
We’ve calculated that a small to medium-sized e-commerce website will fit into the Pro subscription plan with enough wiggle room for the busier months.
Note: You can always check how much you’re actually spending by seeing the comprehensive Daily Expenses screen. For a more detailed look into specific tasks and queries, see All Expenses or History.
Guide to calculating your monthly automation expenses
FlowHunt lets you create hundreds of automation tools with varying degrees of complexity. This makes calculating the costs much trickier than with customer service chatbots. You must first understand which tools you will use and how often.
Imagine you intend to use FlowHunt to automate blog content. Let’s see how much it would cost you to only generate content without any SEO analysis or other tools:
The average price of generating 1500-2000 words of content is between 0.05-0.15 credit. In other words, five to fifteen cents.
For example, here’s the price we’ve paid for creating a 1500-word article from a provided brief. In fact, this one is just 3,7 cents:
Let’s add an SEO analysis tool. You’ll use it to search the competition, providing the resulting brief as a better and more informed prompt for the content writing Flow:
The average price for crafting a SEO brief is 0.03-0.08 credit (3-8 cents).
Here’s a content brief generated from a single keyword. The Flow used the keyword to search top Google results and learn from them:
A basic content writing workflow usually contains creating a meta description, too:
Generating a meta description from text or URL is usually between 0.01-0.03 credit (1-3 cents).
Let’s add it all up. Performing SEO analysis, writing content based on the brief, and summarizing it as a meta description might cost as little as:
0.05 + 0.03 + 0.01 = 0.09 credit.
You can have an SEO-optimized article ready to publish for just 9 cents! At the top end, you’re unlikely to pay more than 25 cents.
Note: We offer pre-made Flows that combine several content tools into comprehensive workflows. These average out around the same price as using the tools separately.
Suppose you want to post 3 times a week, making your weekly expenses 27 – 75 cents, meaning less than $3 monthly.
We’ve calculated that you can keep a small blog running with the $10 starter subscription. Of course, there’s no limit to the tools you can add to your workflow. For example, you can add a DALL-e tool to generate pictures or a readability checker to see if it reads well. You can also create articles from your YouTube videos or turn existing articles into video scripts.
With a professional workflow, including picture generation, readability checking, and several iterations of an article, you can expect one article to cost 0.50-1$. The type of tools and their complexity is entirely up to you.
Lastly, you should crawl your website and upload additional documents to allow the tools to learn from you and your tone of voice. Learn more about knowledge sources costs here.
Note: You can always check how much you’re actually spending by seeing the comprehensive Daily Expenses screen. For a more detailed look into individual tasks, see All Expenses or History.
Overview of Credits features
All Expenses
The All Expenses screen gives you insights about individual transactions. It lets you better understand, track, and improve your AI usage. No matter the length of a chat session, each message shows as a separate transaction. It is a detailed receipt where every task, such as a single Chatbot message, shows as a separate transaction.
Learn more about the All Expenses feature.
Daily Expenses
The Daily Expenses provides a summarized view of your usage, grouping the transactions by type and date. This lets you easily track spending patterns and resource allocation, making managing your budget a breeze.
Learn more about the Daily Expenses feature.
My Subscription
You can manage your active subscription and billing information, purchase additional credits, or even change your plan, all within a single in-app screen.
Learn more about the My Subscription feature.
