Chatbot unit economics

Cost Per 1,000 AI Chatbot Messages

Use this page to estimate chatbot cost per 1,000 messages, then scale the same workload to monthly traffic.

Calculate Cost Per 1,000 AI Chatbot Messages Cost

Estimate cost per 1,000 AI chatbot messages and monthly spend based on message size, context and model pricing.

No API key required. Your transcript stays in your browser.

Workload type

Chatbot preset

Choose the closest chatbot type. You can adjust details in Advanced Settings.

Provider

Model

Average user message or sample chat

Characters: 116Words: 22Estimated input tokens: 30Estimated token count

Output type

Output tokens are estimated based on the selected reply type and input context.

Monthly Messages

Number of chatbot messages expected each month.

Advanced Settings

System Instruction Tokens

Tokens used by the system prompt or recurring instructions in every message.

Conversation History Messages

Recent chat messages included with each new chatbot request.

Tokens Per Past Message

Average token size of each previous user or bot message.

RAG Context Tokens

Optional knowledge-base or document context sent with the chatbot request.

Cached Input Percentage

Percentage of input tokens expected to use provider prompt caching.

Cost per message$0.001894Per message

Total Tokens1,500Input: 1,250 tokensOutput: 250 estimated tokens

Current Message Tokens30

System Instruction Tokens500

Conversation History Tokens720

Total Input Tokens1,250

Normal Input Tokens1,000

Cached Input Tokens250

Cached Input Percentage20%

Calculation detailsCurrency

Cost per 1,000 messages$1.89

Monthly estimated cost (5,000 messages/month)$9.47

Annual estimated cost$113.63

Monthly messages5,000

Total monthly tokens7,500,000

Input-token cost$0.000750

Output-token cost$0.001125

Cached-input cost$0.000019

Context-window statusFits

Pricing last updated2026-07-15

Input tokens: calculated from your pasted content and configured context.

Output tokens: estimated from the selected reply type.

The final output length and provider invoice may differ from this estimate. INR values use an indicative conversion rate.

Compare Other Models

Provider	Model	Model pricing	Cost/message	Difference/message	Monthly cost (5,000 messages/month)	Monthly difference
OpenAI	GPT-5.5	Input $5/1MOutput $30/1M	$0.01	+$0.01	$63.13	+$53.66
OpenAI	GPT-5.4 mini Current model	Input $0.75/1MOutput $4.5/1M	$0.001894	Current model	$9.47	Current model
Anthropic	Claude Opus 4.8	Input $5/1MOutput $25/1M	$0.01	+$0.009481	$56.88	+$47.41
Google	Gemini 3.5 Flash	Input $1.5/1MOutput $9/1M	$0.003788	+$0.001894	$18.94	+$9.47
DeepSeek	DeepSeek V4 Flash Lowest estimated cost	Input $0.14/1MOutput $0.28/1M	$0.000211	Save $0.001683	$1.05	Save $8.42

OpenAI - GPT-5.5$63.13 / month

Pricing: input $5/1M, output $30/1M

$0.01 per message · +$0.01 per message

Monthly difference: +$53.66

OpenAI - GPT-5.4 mini$9.47 / month

Pricing: input $0.75/1M, output $4.5/1M

$0.001894 per message · Current model per message

Monthly difference: Current model

Current model

Anthropic - Claude Opus 4.8$56.88 / month

Pricing: input $5/1M, output $25/1M

$0.01 per message · +$0.009481 per message

Monthly difference: +$47.41

Google - Gemini 3.5 Flash$18.94 / month

Pricing: input $1.5/1M, output $9/1M

$0.003788 per message · +$0.001894 per message

Monthly difference: +$9.47

DeepSeek - DeepSeek V4 Flash$1.05 / month

Pricing: input $0.14/1M, output $0.28/1M

$0.000211 per message · Save $0.001683 per message

Monthly difference: Save $8.42

Lowest estimated cost

Why cost per 1,000 messages is useful

Cost per message can be too small to understand. Cost per 1,000 messages makes it easier to compare models, price plans and estimate chatbot gross margin.

For best results, choose the closest chatbot preset, then adjust conversation history and RAG context in Advanced Settings.

Chatbot type	Main cost driver	Optimization idea
Lead capture	Short replies	Use small models for first responses
Support bot	History and knowledge context	Limit retrieved context
Internal assistant	Policy or document context	Cache stable instructions