LLM Token Counter & Cost Estimator
Estimate tokens and API cost for GPT-4o, Claude, Gemini, and Llama
Token counts are estimates based on average characters-per-token (~4 for GPT-4o). Actual counts from the model's tokenizer may differ by 5–15%. Prices reflect published rates and may change - check the provider's pricing page for authoritative numbers.
طريقة الاستخدام
- 1Paste your prompt
Drop the full prompt - system message, user message, or a long RAG context.
- 2Pick a model
Choose GPT-4o, Claude, Gemini, or Llama. Each model has its own price and tokenizer ratio.
- 3Set expected output tokens
Add the response length you expect. The tool shows per-call cost and 1K / 1M-call totals.
عن LLM Token Counter & Cost Estimator
Free online LLM token counter and cost calculator. Paste any prompt to estimate the token count for GPT-4o, GPT-4o mini, Claude Opus/Sonnet/Haiku, Gemini 2.0, and Llama 3, plus the per-call and per-1M-call API cost. Runs entirely in your browser. LLM Token Counter & Cost Estimator على 712 Tools يعمل بالكامل داخل الـ browser الخاص بك باستخدام APIs الأصلية لـ JavaScript - لا يرى أي server بياناتك أبداً. أي: نتائج فورية، خصوصية كاملة، ولا حدود للرفع.
سواء كنت في جلسة debugging، أو مراجعة سريعة، أو حادثة إنتاج - هذه الأداة مجانية وبلا حد للاستخدام. لا علامات مائية، ولا تسجيل، ولا إعلانات داخل الأداة.
الأسئلة الشائعة
How accurate are the token counts?
They're estimates based on average characters-per-token (~4 for GPT, ~3.6 for Claude). Actual counts from the model's real tokenizer usually differ by 5–15%.
Where do the prices come from?
Published rates from OpenAI, Anthropic, Google, and hosted-Llama providers. Rates change - always verify with the provider before building financial projections.
Does it upload my prompt?
No. Counting and cost math run entirely in your browser.
Why does context-used % matter?
If a prompt approaches the model's context window, the model may truncate or refuse. The gauge helps you stay well under the limit.
اقرأ المزيد
Which LLM is actually cheapest? An honest 2026 comparison
GPT-4o vs Claude Sonnet 4.5 vs Gemini 2.5 vs Llama 3.3 vs DeepSeek V3 - the per-call and monthly cost math for real workloads, and where prompt caching changes the answer.
How to write better AI prompts that actually work (ChatGPT, Claude, Gemini in 2026)
Prompt engineering isn't magic - it's a small set of structural moves that produce dramatically better output from any modern LLM. Here's the shape, the anti-patterns, and the template.
System prompts that ship: Custom GPTs, Claude Projects, and Cursor rules in 2026
The system prompt is where you install your agent's personality, guardrails, and output style. Here's the structure that works across every major LLM platform.
LLM token counting and API cost estimation: a 2026 developer's guide
Tokens aren't words, GPT-4o and Claude count them differently, and a 1M-context prompt can cost $30. Here's how tokens actually work, and how to estimate cost before you ship.
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