How much does GPT-4o cost per 1,000 requests?

At GPT-4o pricing of $2.50/1M input and $10/1M output tokens, a typical request with 500 input tokens and 300 output tokens costs $0.00425. At 1,000 requests per day that is $4.25/day or ~$127.50/month. High-context workflows with 4,000 input tokens and 1,000 output tokens cost ~$0.020 per request — $600/month at the same daily volume. Use this calculator with your actual token counts for accurate estimates.

Which AI model is cheapest for high-volume production?

Gemini 1.5 Flash ($0.075/1M input, $0.30/1M output) and GPT-4o mini ($0.15/1M input, $0.60/1M output) are the most cost-efficient options for high-volume workloads. For tasks requiring stronger reasoning at moderate volume, Claude Haiku 4 ($0.80/1M input, $4/1M output) is a solid mid-tier choice. Reserve flagship models — GPT-4o, Claude Sonnet, Gemini 2.5 Pro — for complex tasks where output quality justifies the 10–100× cost increase.

Why do output tokens cost more than input tokens?

AI providers charge different rates for prompt tokens (input) versus generated tokens (output) because generation is computationally more expensive than reading context. GPT-4o charges $2.50/1M input but $10/1M output — a 4× ratio. Claude Sonnet 4 charges $3/1M input and $15/1M output — a 5× ratio. This means chatbot applications with long responses incur disproportionately high output costs. Truncating unnecessary output is one of the most effective ways to reduce AI API spend.

How do I estimate tokens for my use case before deploying?

Use OpenAI's tokenizer at platform.openai.com/tokenizer to count exact tokens for your prompt templates. For rough estimates: 1 English word ≈ 1.3 tokens, 1 page of text ≈ 500–750 tokens, a typical system prompt ≈ 200–500 tokens. For RAG (retrieval-augmented generation) applications, add retrieved document chunk tokens to your prompt: a 500-word retrieved passage adds approximately 650 tokens per chunk, which at scale becomes a significant cost driver.

developer

AI Token Cost Calculator — Compare API Pricing for GPT, Claude & Gemini

AI API costs are charged per token — roughly 4 characters or 0.75 words. Pricing varies by a factor of 1,000× across models: Gemini 1.5 Flash costs $0.075 per million input tokens while Claude Opus 4 costs $15/M. This calculator computes exact per-request, daily, and monthly costs for 13 major models including GPT-4o, Claude, Gemini, Llama, and Mistral.

Free — No SignupRuns in BrowserData Never UploadedPopular tool

How It Works

How to use AI Token Cost Calculator

Select a model

Choose your AI model from the grouped list. Models are organized by provider — OpenAI, Anthropic, Google, Meta, and Mistral.

Enter token counts

Input the average number of input tokens (your prompt) and output tokens (the model's response) per API request.

Set daily request volume

Enter how many API calls you expect per day. The tool calculates per-request, daily, and 30-day monthly costs automatically.

Format Comparison

AI Model Pricing Comparison (per 1M tokens, May 2026)

Model	Provider	Input $/1M	Output $/1M	Best For
GPT-5.5	OpenAI	$5.00	$30.00	Current OpenAI flagship
GPT-5	OpenAI	$1.25	$10.00	Best value in GPT-5 family
GPT-5 mini	OpenAI	$0.25	$2.00	Affordable GPT-5 tier
GPT-5 nano	OpenAI	$0.05	$0.40	Ultra-cheap, high-volume tasks
GPT-4o	OpenAI	$2.50	$10.00	Multimodal, proven general-purpose
Claude Sonnet 4	Anthropic	$3.00	$15.00	Code, long-context reasoning
Claude Haiku 4	Anthropic	$0.80	$4.00	Fast, affordable Anthropic tier
Gemini 3.5 Flash	Google	$1.50	$9.00	Latest Gemini, balanced perf
Gemini 3.1 Lite	Google	$0.25	$1.50	Cheapest Gemini 3 tier
DeepSeek V4 Pro	DeepSeek	$1.74	$3.48	Strong reasoning, low output cost
DeepSeek V4 Flash	DeepSeek	$0.14	$0.28	Ultra-cheap, fast inference
Llama 3.3 70B	Meta/Groq	$0.59	$0.79	Open-weight, self-hostable

FAQ

Frequently asked questions

A token is the basic unit of text that AI language models process. In English, one token is approximately 4 characters or 0.75 words. "Hello world" is 2 tokens; a typical paragraph of 100 words is about 130 tokens. Different tokenizers vary slightly — OpenAI uses cl100k_base for GPT-4o and Anthropic uses its own tokenizer. Both providers offer free tokenizer tools to count exact tokens for your specific text before committing to API costs at scale.

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