AI Token & Cost Estimator

Paste text → token count + cost breakdown across 7 major AI models

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Built by WOWHOW Team · 14+ yrs engineering

AI Token & Cost Estimator is a free, browser-based tool that lets you paste text → token count + cost breakdown across 7 major ai models — with zero signup, zero installation. Your data never leaves your browser. Part of 138+ free developer and business tools at wowhow.cloud, built and maintained by a team with 14+ years of hands-on development experience.

TOOLAI Token & Cost Estimator

Quick presets

Paste your text0 chars · 0 words

Expected output ratio30% of input

Short replyEqual length2× longer

Input tokens

~0 char-based

Output tokens

0 estimated

Total tokens

0 combined

Cheapest single call

<$0.0001

DeepSeek R1

Monthly projector

requests/day

= 3,000 req/month

Filter:

Model	Input cost	Output cost	Single call	Monthly	Context
GPT-4o OpenAI	<$0.0001 $2.5/M tok	<$0.0001 $10/M tok	<$0.0001	<$0.0001 100/day × 30	✓ 128K
GPT-4.1 OpenAI	<$0.0001 $2/M tok	<$0.0001 $8/M tok	<$0.0001	<$0.0001 100/day × 30	✓ 1M
Claude Opus 4 Anthropic	<$0.0001 $15/M tok	<$0.0001 $75/M tok	<$0.0001	<$0.0001 100/day × 30	✓ 200K
Claude Sonnet 4 Anthropic	<$0.0001 $3/M tok	<$0.0001 $15/M tok	<$0.0001	<$0.0001 100/day × 30	✓ 200K
Gemini 2.5 Pro Google	<$0.0001 $1.25/M tok	<$0.0001 $10/M tok	<$0.0001	<$0.0001 100/day × 30	✓ 1M
Llama 4 Scout Meta / Together AI	<$0.0001 $0.18/M tok	<$0.0001 $0.59/M tok	<$0.0001	<$0.0001 100/day × 30	✓ 131K
DeepSeek R1cheapestpriciest DeepSeek	<$0.0001 $0.55/M tok	<$0.0001 $2.19/M tok	<$0.0001	<$0.0001 100/day × 30	✓ 128K

Pricing reference (May 2026)

GPT-4o$2.5 / $10 per 1M

GPT-4.1$2 / $8 per 1M

Claude Opus 4$15 / $75 per 1M

Claude Sonnet 4$3 / $15 per 1M

Gemini 2.5 Pro$1.25 / $10 per 1M

Llama 4 Scout$0.18 / $0.59 per 1M

DeepSeek R1$0.55 / $2.19 per 1M

Prices are list prices as of May 2026. Llama 4 pricing via Together AI. Actual costs may vary with batch discounts, cached tokens, or on-premise hosting.

About AI Token & Cost Estimator

Tokenization is the fundamental unit of cost for every large language model API. GPT-4o, Claude, Gemini, and competitors all price by the million tokens — but the ratio of input to output pricing and the absolute price per million tokens vary by more than 50x across the market. This tool lets you estimate cost before you write a single line of code: paste text, set an output length expectation, and see side-by-side costs for seven major models including budget options like DeepSeek R1 and Llama 4.

How It Works

Token estimation uses a blended heuristic: the well-known 4-characters-per-token approximation (accurate for English prose) combined with a word-count approach (1.33 tokens per word, accounting for punctuation and subword splits). The two estimates are blended 60/40 in favour of the character-based method, which is more reliable for code and mixed content. Cost is computed as (tokens / 1,000,000) × price_per_million, separately for input and output, then summed. The monthly projector multiplies single-call cost by requests/day × 30.

Who Is This For

A developer planning a RAG system pastes a sample document chunk and sees that GPT-4.1 costs 4x less than Claude Opus 4 for the same retrieval query.

A product team budgeting a translation feature enters 1,400 input tokens and 1,400 output tokens, sets 500 requests/day, and compares monthly costs across models before choosing Gemini 2.5 Pro.

An indie hacker building a code-review bot uses the Code Review 500 Lines preset and discovers DeepSeek R1 cuts monthly costs from $180 to $12 vs. GPT-4o at 1,000 requests/day.

A solutions architect demonstrating AI ROI to a client copies a 2,000-word specification document and shows the exact per-call and monthly costs to justify model selection.

How to Use

Paste your text in the input area or switch to manual token entry

Adjust the output ratio slider to match your expected response length

View the per-call and monthly cost breakdown across all 7 models

Use the monthly projector to enter requests per day and see scaled costs

Click a preset scenario to load a common use-case token profile instantly

Frequently Asked Questions

The tool blends two heuristics: the character-based rule (~4 chars per token, as used by GPT tokenizers) and a word-based rule (~1.33 tokens per word). The blended estimate uses 60% char-based and 40% word-based. For exact counts, use the model provider's tokenizer library (e.g., tiktoken for OpenAI, tokenizers for Hugging Face).

GPT-4o, GPT-4.1 (OpenAI), Claude Opus 4, Claude Sonnet 4 (Anthropic), Gemini 2.5 Pro (Google), Llama 4 Scout via Together AI (Meta), and DeepSeek R1. Pricing reflects public list prices as of May 2026.

It sets the expected length of model output relative to input. A 30% ratio means the model will generate roughly 300 output tokens per 1,000 input tokens. Summaries are typically 10-30%, code reviews 30-50%, translations close to 100%.

If your total tokens (input + output) exceed a model's context window, the request will fail. The context column shows a checkmark if your estimate fits, or a cross if you need to split the input or use a model with a longer window.

No. All processing happens entirely in your browser using JavaScript. No text, tokens, or estimates are transmitted to any server.

Enter your expected number of API requests per day. The tool multiplies single-call cost by requests/day by 30 to produce a monthly estimate for each model. Useful for budgeting before committing to a model for production.