Count Prompt Tokens & Compare Monthly API Bills Across 8 Frontier LLMs Instantly

Q: How are BPE tokens estimated from English and code text?

Modern tokenizers (cl100k_base / o200k_base) average ~3.8 to 4.0 characters per token for English prose and ~3.1 characters per token for punctuation-dense JSON and source code.

Paste any system prompt, RAG context, or JSON schema to measure BPE token count and compare exact per-call and monthly production costs across OpenAI, Anthropic, Google, and DeepSeek.

✓ 8-Model Live Price Matrix Target Keyword: "llm token counter and api cost calculator" (210,000/mo) Est. Ad RPM: $28 – $48

INPUT SOURCE 239 chars

You are an autonomous Principal Cloud Architect. Analyze the user's infrastructure manifest and return a strict JSON object with keys: "bottlenecks", "estimatedMonthlySavingsUsd", and "terraformPatch". Ensure zero downtime migration steps.

LIVE PROCESSED OUTPUT UTF-8 • CLIENT-SIDE

Processing...

Ready • 100% local execution Server Cost: $0.00 • Latency: <5ms

How to Use the LLM Token & Cost Calc

STEP 01

Paste your system prompt or RAG context payload into the left editor.
STEP 02

Select your expected daily API call volume and average output completion length.
STEP 03

Compare exact per-1,000-call and monthly costs across GPT-4o, o3-mini, Claude 3.5 Sonnet, Gemini 1.5 Flash, and DeepSeek V3.

Frequently Asked Questions (LLM Token & Cost Calc)

How are BPE tokens estimated from English and code text?

Modern tokenizers (cl100k_base / o200k_base) average ~3.8 to 4.0 characters per token for English prose and ~3.1 characters per token for punctuation-dense JSON and source code.