PRICING SNAPSHOT 2026-07-10CLAUDE OPUS 4.5 $5.00/$25.00 MTOKCLAUDE SONNET 4.5 $3.00/$15.00 MTOKCLAUDE HAIKU 4.5 $1.00/$5.00 MTOKGPT-5 $1.25/$10.00 MTOKGPT-5 MINI $0.25/$2.00 MTOKGEMINI 3 PRO $2.00/$12.00 MTOKGEMINI 2.5 FLASH $0.30/$2.50 MTOKDEEPSEEK V3.2 $0.28/$0.42 MTOK
▮▮▮TOKENBURN_INDEX

TOKENBURN INDEX — TBX · EST. 2026

Every prompt has a burn rate.

AI is cheap until your agents start thinking out loud. TokenBurn Index measures the tokens — and the money — your AI habits quietly torch, then judges you for it.

8 MODELS TRACKED±15% TOKEN EST.0 LOGINS100% JUDGMENT

THE BURNMETER

PASTE · MEASURE · REPENT
INPUTNOTHING LEAVES YOUR BROWSER
01 — MEASURE

Count the damage

Paste a prompt, a conversation, an agent workflow. Get estimated tokens, cost across eight models, and a Token Burn Score from 0 to 100.

02 — COMPARE

Same text, 60x price range

The same request costs $0.001 or $0.12 depending on the model. Most teams never look. You are about to.

03 — REPENT

Get judged, then optimized

A dry-humored diagnosis, a leaner version of your prompt, and the savings at 1,000 runs. Shame is a feature, not a bug.

AI TOKEN BURN INDEX — 2026

FULL INDEX →
1

Re-pasting the entire conversation "for context"

The model already had the context. Now it has it twice, at input prices.

92
2

Agents left on auto-approve overnight

You woke up to 340 tool calls and a refactor nobody asked for.

88
3

A 2,000-token system prompt for a yes/no question

The answer was 'no'. The invoice was not.

84

HALL OF SHAME

ALL CASES →

I used 40,000 tokens to ask for a button color.

EST. 40,000 TOKENS · $0.42 · The button is still blue.

My agent rewrote half the repo to rename a variable.

EST. 1,200,000 TOKENS · $14.70 · The variable is now camelCase. The budget is not.

FIELD NOTES

$AI is cheap until your agents start thinking out loud.

$More tokens. Same result. Beautifully expensive.

$Your AI workflow is not free. It is just quiet.

$Your agent did not work harder. It just spent more.

THE SERIOUS PART

AI Tokenomics, explained

What tokens actually are, why output costs 4-8x more than input, what cached tokens change, and why agents multiply everything. No hype, no doom — just the meter.

READ THE GUIDE →