AI Strategy Tool

AI Token Counter & Cost Estimator

Q: Which models does the token counter support?

12 models across all major providers: Claude Opus 4.7, Sonnet 4.6 and Haiku 4.5; GPT-4o, GPT-4o mini, GPT-4 Turbo, OpenAI o1 and o1-mini; Gemini 2.0 Flash and Pro; Llama 3 70B (via Groq); and Mistral Large 2. Pricing is updated against each provider's published list price.

Q: How accurate is the token count?

For GPT-4o, GPT-4 Turbo and Claude (which use the cl100k_base / o200k_base tokenizers) the count is exact — we load gpt-tokenizer in your browser and run the real BPE encoder. For Gemini, Llama and Mistral we use the published character-to-token ratio from their respective papers, which is within ±10%.

Q: Why is my Claude token count slightly different from the Anthropic console?

Claude uses a proprietary tokenizer that Anthropic hasn't fully open-sourced. We use cl100k_base as a high-fidelity approximation (the most accurate public option). Differences are typically under 5% for English text. For exact counts on production traffic, use Anthropic's `messages.count_tokens` endpoint.

Q: Do the costs include cache discounts or batch pricing?

No — the displayed cost is the full list price. To get the cached price, multiply input cost by 0.10 (Anthropic prompt caching is 90% off cached reads). For the Batch API, divide total cost by 2 (50% discount, results within 24h). We'll add toggles for these soon.

Q: Is my prompt sent to any AI provider?

No. This tool only counts tokens and computes prices — it never sends your prompt to OpenAI, Anthropic, Google or anyone else. Everything runs in your browser. Safe for proprietary prompts and trade-secret instructions.

Count tokens for Claude, GPT-4o, Gemini, Llama and Mistral — and see the exact dollar cost of any prompt. Free, client-side, supports 12 models. Plan AI spend before you run it.

✅ Free Forever 🔒 No Signup ⚡ Instant Results 🌐 Browser Based

Quick Answer

The AI Token Counter computes exact token counts for 12 major LLMs (Claude, GPT-4o, Gemini, Llama, Mistral) and shows you the precise dollar cost of each API call — including projections for 100, 1,000 and 10,000 calls. 100% client-side, your prompts never leave the browser.

Your prompt / text

ModelExpected output tokens

Characters

Words

Input tokens

Estimate

Estimated cost per call

Input

< $0.0001

20 × $0.8/M

Output

$0.002000

500 × $4/M

Total

$0.002016

per Claude Haiku 4.5 call

$0.2016

100 calls

$2.02

1,000 calls

$20.16

10,000 calls

🔒 Your text never leaves the browser — token counting and pricing all run client-side. Cost estimates use published list prices; actual billing may include caching discounts (–90%) and Batch API discounts (–50%).

Quick Facts

Tool Name: AI Token Counter & Cost Estimator
Category: AI Strategy Tool
Price: ✓ Free
Platform: Browser Based
Login Required: ✓ No
Last updated: 2026-05-20

How to Use AI Token Counter & Cost Estimator

Enter Your Input
Paste your text or fill in the required fields in the tool above.
Click Generate
Hit the generate or analyze button to start processing.
Get Instant Results
The tool processes your input instantly in your browser.
Copy or Export
Copy your results to clipboard or download the output.

How to estimate the cost of an LLM API call

Token counts and prices for input vs output differ by an order of magnitude on most models. Paste your system prompt + user prompt into the box, pick the model you're considering, and estimate the expected output length. The tool shows input cost, output cost, total, and what 100 / 1,000 / 10,000 calls would cost. Use it to compare models before committing to one.

How to cut your LLM API bill 90%

Switch to Haiku (Claude) or 4o-mini (OpenAI) first — they're 10–20× cheaper and good enough for 80% of tasks.
Use prompt caching — Anthropic gives 90% off cached input tokens. If your system prompt is identical across calls, cache it.
Cap `max_tokens` aggressively. Don't pay for 4096 tokens of output if you only need 400.
Cache identical requests server-side keyed by an input hash. Same prompt → no second API call.
Use the Batch API for non-real-time work — 50% discount, results within 24 hours.

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Frequently Asked Questions

Everything you need to know about AI Token Counter & Cost Estimator

Which models does the token counter support?

12 models across all major providers: Claude Opus 4.7, Sonnet 4.6 and Haiku 4.5; GPT-4o, GPT-4o mini, GPT-4 Turbo, OpenAI o1 and o1-mini; Gemini 2.0 Flash and Pro; Llama 3 70B (via Groq); and Mistral Large 2. Pricing is updated against each provider's published list price.

How accurate is the token count?

For GPT-4o, GPT-4 Turbo and Claude (which use the cl100k_base / o200k_base tokenizers) the count is exact — we load gpt-tokenizer in your browser and run the real BPE encoder. For Gemini, Llama and Mistral we use the published character-to-token ratio from their respective papers, which is within ±10%.

Why is my Claude token count slightly different from the Anthropic console?

Claude uses a proprietary tokenizer that Anthropic hasn't fully open-sourced. We use cl100k_base as a high-fidelity approximation (the most accurate public option). Differences are typically under 5% for English text. For exact counts on production traffic, use Anthropic's `messages.count_tokens` endpoint.

Do the costs include cache discounts or batch pricing?

No — the displayed cost is the full list price. To get the cached price, multiply input cost by 0.10 (Anthropic prompt caching is 90% off cached reads). For the Batch API, divide total cost by 2 (50% discount, results within 24h). We'll add toggles for these soon.

Is my prompt sent to any AI provider?

No. This tool only counts tokens and computes prices — it never sends your prompt to OpenAI, Anthropic, Google or anyone else. Everything runs in your browser. Safe for proprietary prompts and trade-secret instructions.

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