Guides → Playground & Guide → Consumer AI Bill Diagnose - Where Your $20-200/mo AI Spend Is Going

Consumer AI Bill Diagnose - Where Your $20-200/mo AI Spend Is Going

🚀 Open the calculator

Meet Lena Park. Freelance designer paying for 6 AI subscriptions. "I'm paying $130/month across ChatGPT Plus, Claude Pro, Cursor, Midjourney, Perplexity Pro, and ElevenLabs. Half of these I barely use - which to keep?"

🔥 Yearly cost: $1,560. Estimated waste: probably $600+. Need to see it clearly.

The story

Consumer AI sprawl is the new SaaS sprawl. Average AI-active user has 4-6 paid subscriptions. ChatGPT Plus ($20), Claude Pro ($20), Cursor ($20), Midjourney ($10-30), Perplexity Pro ($20), ElevenLabs ($5-22), GitHub Copilot ($10), v0 ($20), and so on. $100-200/month is common - most goes unused.

Lena's $130/month adds up to $1,560/year. Auditing her 30-day usage: ChatGPT 80 messages (heavy), Claude 8 messages (light), Cursor daily (heavy), Midjourney 4 images (light), Perplexity 12 searches (light), ElevenLabs 2 audio renders (very light). Cut Claude, Midjourney, ElevenLabs → save $720/year. Use Claude free tier when needed, Midjourney pay-per-image, ElevenLabs free tier.

Three patterns of waste. (1) Forgotten subscriptions - auto-renew, never use. (2) Tier overshoot - paying $20 when $0 free tier covers usage. (3) Duplicate capabilities - paying for ChatGPT Plus AND Claude Pro AND Cursor when one would do. The diagnose calc surfaces all three.

About this calculator: Consumer AI Bill Diagnose - Where Your $20-200/mo AI Spend Is Going

Upload your ChatGPT, Claude, Cursor, Perplexity, or Midjourney receipt. See where your subscription dollars actually go and get cheaper-tier or shared-plan recommendations.

Inputs you control

Input Impact on result Range Typical
Total monthly AI subscription spend ($) Sum of all your AI subscriptions. Pull from credit card statement or app store receipts. 10 – 500 130
Number of paid subscriptions How many separate AI services you're paying for. 1 – 15 6
% of subscriptions you actually use weekly Drag higher = healthier usage. Shows how much of your spend you're actually using. (More usage = less waste to cut. The savings opportunity lives in the full calculator below.) 0 – 100 50

Outputs computed for you

Output How inputs affect it
Monthly cost ($) computed from inputs
Annual cost ($) monthlyUsd × 12

Below: live sliders. Move them to see numbers change in real time.

What you're looking at

Each input shapes your cost. Move the slider — see the impact.

130

Sum of all your AI subscriptions. Pull from credit card statement or app store receipts.

Estimated: —
6

How many separate AI services you're paying for.

Estimated: —
50

Drag higher = healthier usage. Shows how much of your spend you're actually using. (More usage = less waste to cut. The savings opportunity lives in the full calculator below.)

Estimated: —

Ready to run the numbers?

Open the full calculator — pick a model, enter your tokens, see per-call, daily, monthly, and annual cost.

🚀 Open the full calculator →

Reading your result

Estimated waste = monthly spend × (1 - heavy use ratio). Lena: $130 × 50% = $65/mo waste = $780/year just on subscriptions she barely opens.

Heavy-use subs to KEEP. 3-5 messages/week minimum. If you hit message limits sometimes, paid tier is justified.

Light-use subs to CUT. Less than 5 messages/week - free tier or pay-per-use will cover. Cancel and use sparingly via free.

Duplicate capabilities - pick one. ChatGPT + Claude + Gemini paid all → keep one. Pick by which has the features you actually use (memory, vision, voice, code execution, etc.).

What "good" looks like:
  • Light user (1-2 subs): $20-40/month, low waste
  • Mid user (3-5 subs): $50-100/month, 20-40% waste typical (Lena's range)
  • Heavy user (6+ subs): $100-300/month, 40-60% waste typical
  • Power user (10+ subs): $200+/month - usually has duplicate capabilities, audit hard

Best value consumer AI plans right now

Verified 20 hours ago
  1. 1
    GPT-5 Mini
    $0.250 in · $2.00 out ·
  2. 2
    Command
    $1.00 in · $2.00 out ·
  3. 3
    devstral-2
    $0.400 in · $2.00 out ·

Three real scenarios

Same calculator, three different team sizes. Click a tab to see how the numbers shift.

$20.00 / month ≈ $240.00 / year

ChatGPT Plus only, used daily. Tier is right-sized. Maybe consider Plus → Free if usage drops, but otherwise good.

Healthy range: Healthy - paid tier justified

See inputs used
monthlySpendUsd
20
subscriptionCount
1
heavyUseRatio
90

Trade-offs

Cost isn't the only dimension. Click any constraint — see how recommendations change.

What matters most to you? Click any dimension — recommendations update.

Best fit for "cost":

  1. Free tiers cover most light usage Test before paying
  2. Pay-per-use for occasional needs Midjourney, ElevenLabs, Runway
  3. Annual plans 15-25% cheaper IF you'll keep Don't lock in if uncertain

The cheapest tier you'll actually use is the right tier. Free → annual upgrade later beats annual → cancel mid-term.

Use cases

Pre-loaded scenarios for the most common applications. Click a tab to see realistic numbers — then the "Try this scenario" button to load it into the calculator above.

$100.00 / month ≈ $1,200 / year

Standard freelancer setup. ChatGPT + Claude + Cursor + 2 specialty (Midjourney/v0/etc). Audit: which specialty subs do you ship work with? Keep those. Cancel the rest.

Healthy range: $40/mo waste - cancel 2

See inputs used
monthlySpendUsd
100
subscriptionCount
5
heavyUseRatio
60

What this calculator can't tell you

Honest limitations — every model is wrong; some are useful. Where this one falls short:

For these, use: Subscription Picker for replacement choice. Family Plan for shared. Free Tier Checker to verify.

Where to go next

Pick the right replacement subscription →

After cancellation, which sub fills the gap?

 Verify free tier covers your usage →

Before canceling, ensure free is enough.

 Shared plans for households →

If others share your AI tools, shared plan often cheaper.

Methodology

Source
/ai-cost-economics
Extraction
Pricing pulled monthly from each consumer vendor's pricing page.
Editorial gate
8-layer defense — see aicost.ai/ai-cost-economics
Last verified
6/4/2026, 8:00:00 PM

Author: Subu Vdaygiri, Founder & CEO of CloudIntelligence.ai. 17 years Fortune 100 (Ingram Micro, Siemens). Wharton CTO program · Kellogg CPO program · 10× AWS+Azure certified.

3 years of pricing history

Why this matters: pricing for major vendors has dropped 40-90% in the last 24 months. A budget set 12 months ago is probably wrong by 30%+.

View 3-year history for →
📖 Data sources & methodology 161 text models · 9 embeddings · 24 vision · 41 audio · 8 vector DBs across 10 vendor pages · last verified 2026-06-05

Methodology

  • All prices are USD per 1 million tokens, current as of 2026-06-05.
  • Vendor-published values have no mark. Inferred/extrapolated values are marked with * and listed below.
  • Batch API discounts are 50% off standard rates across providers that offer Batch mode.
  • Prompt caching discounts vary by provider (typically 80-90% off cached input tokens).
  • Regional data-residency surcharges (Anthropic 1.1x, OpenAI 1.1x, Google regional tiers) are NOT included in base rates.
  • Long-context pricing tiers apply when input exceeds model threshold.
  • Embedding prices are input-only (no output tokens generated).

Primary sources

Last-verified date is the most recent successful daily snapshot (aicost_pricing_snapshots) or, when no snapshot exists yet, the latest successful crawler run (aicost_crawler_runs). 10 of 10 vendors are currently verified. Aggregator services (TokenCost, AI Pricing Guru, etc.) are not listed.

Anthropic
2026-06-05
https://www.anthropic.com/pricing
Daily snapshot since Sep 2023 · 578 days captured
Anthropic Docs
2026-06-05
https://platform.claude.com/docs/en/about-claude/pricing
Daily snapshot since Sep 2023 · 578 days captured
OpenAI
2026-06-05
https://openai.com/api/pricing/
Daily snapshot since Sep 2023 · 579 days captured
Google AI
2026-06-05
https://ai.google.dev/gemini-api/docs/pricing
Daily snapshot since Dec 2023 · 554 days captured
Google Vertex
2026-06-05
https://cloud.google.com/vertex-ai/generative-ai/pricing
Daily snapshot since Dec 2023 · 554 days captured
DeepSeek
2026-06-05
https://api-docs.deepseek.com/quick_start/pricing
Daily snapshot since May 2024 · 493 days captured
xAI
2026-06-05
https://x.ai/api
Daily snapshot since Nov 2024 · 411 days captured
Mistral
2026-06-05
https://mistral.ai/pricing
Daily snapshot since Dec 2023 · 552 days captured
Cohere
2026-06-05
https://cohere.com/pricing
Daily snapshot since Sep 2023 · 578 days captured
Voyage AI
2026-06-05
https://docs.voyageai.com/docs/pricing

Inferred values (marked with * in calculator tables)

Derived from industry conventions, not directly published by the vendor. Typical conventions: cached input = 10% of base (90% off), Batch API = 50% of base (50% off).

Vendor / Model Field Why it’s inferred
Anthropic — Claude Sonnet 4.6 cachedInput Derived at 10% of input rate — Anthropic publishes 90% cache-hit discount on this tier.
Anthropic — Claude Sonnet 4.5 cachedInput Derived at 10% of input rate; same 90% cache-hit convention as Sonnet 4.6.
Anthropic — Claude Sonnet 4.5 batchInput Derived at 50% of standard input — Anthropic documents uniform 50% Batch discount.
Anthropic — Claude Sonnet 4.5 batchOutput Derived at 50% of standard output — Anthropic documents uniform 50% Batch discount.
Anthropic — Claude Haiku 4.5 cachedInput Derived at 10% of input rate — Anthropic 90% cache-hit discount convention.
OpenAI — GPT-5.4 Mini cachedInput Derived at 10% of input — OpenAI documents automatic 90% discount on cache hits across GPT-5.x tier.
OpenAI — GPT-5.4 Nano cachedInput Derived at 10% of input — OpenAI 90% cache-hit convention.
OpenAI — GPT-5.4 Nano batchInput Derived at 50% of input — OpenAI Batch API uniform 50% discount.
OpenAI — GPT-5.4 Nano batchOutput Derived at 50% of output — OpenAI Batch API uniform 50% discount.
OpenAI — GPT-5.4 Pro cachedInput Derived at 10% of input — OpenAI 90% cache-hit convention.
OpenAI — GPT-5.4 Pro batchInput Derived at 50% of input — OpenAI Batch API uniform 50% discount.
OpenAI — GPT-5.4 Pro batchOutput Derived at 50% of output — OpenAI Batch API uniform 50% discount.
OpenAI — GPT-5.2 cachedInput Derived at 10% of input; no residency uplift.
OpenAI — GPT-5.2 batchInput Derived at 50% of input.
OpenAI — GPT-5.2 batchOutput Derived at 50% of output.
OpenAI — GPT-5 cachedInput Derived at 10% of input.
OpenAI — GPT-5 batchInput Derived at 50% of input.
OpenAI — GPT-5 batchOutput Derived at 50% of output.
OpenAI — GPT-5.5 Pro cachedInput Derived at 10% of input — OpenAI does not publish a cached rate for *-pro models; using the family convention.
OpenAI — GPT-5.5 Pro batchInput Derived at 50% of input.
OpenAI — GPT-5.5 Pro batchOutput Derived at 50% of output.
OpenAI — GPT-5.2 Pro cachedInput Derived at 10% of input — pro-tier convention.
OpenAI — GPT-5.2 Pro batchInput Derived at 50% of input.
OpenAI — GPT-5.2 Pro batchOutput Derived at 50% of output.
OpenAI — GPT-5.1 batchInput Derived at 50% of input.
OpenAI — GPT-5.1 batchOutput Derived at 50% of output.
OpenAI — GPT-5 Pro batchInput Derived at 50% of input.
OpenAI — GPT-5 Pro batchOutput Derived at 50% of output.
OpenAI — GPT-5 Nano cachedInput Derived at 10% of input.
OpenAI — GPT-5 Nano batchInput Derived at 50% of input.
OpenAI — GPT-5 Nano batchOutput Derived at 50% of output.
Google — Gemini 3 Flash cachedInput Derived at 10% of input — Google caching discount convention ~90%.
Google — Gemini 3.1 Flash-Lite cachedInput Derived at 10% of input — Google caching convention.
Google — Gemini 3.1 Flash-Lite batchInput Derived at 50% of input — Google Batch API uniform 50% discount.
Google — Gemini 3.1 Flash-Lite batchOutput Derived at 50% of output — Google Batch API uniform 50% discount.
Google — Gemini 2.5 Pro cachedInput Derived at 10% of input.
Google — Gemini 2.5 Flash cachedInput Derived at 10% of input.
Google — Gemini 2.5 Flash-Lite cachedInput Derived at 10% of input — Google caching convention.
Google — Gemini 2.5 Flash-Lite batchInput Derived at 50% of input — Google Batch API uniform 50% discount.
Google — Gemini 2.5 Flash-Lite batchOutput Derived at 50% of output — Google Batch API uniform 50% discount.
Google — Gemini 2.0 Flash cachedInput Derived at 25% of input per Google 2.0 family caching rates.
Google — Gemini 2.0 Flash batchInput Derived at 50% of input — Google Batch API uniform 50% discount.
Google — Gemini 2.0 Flash batchOutput Derived at 50% of output — Google Batch API uniform 50% discount.
Google — Gemini 2.0 Flash-Lite cachedInput Derived at 10% of input — Google caching convention.
Google — Gemini 2.0 Flash-Lite batchInput Derived at 50% of input — Google Batch API uniform 50% discount.
Google — Gemini 2.0 Flash-Lite batchOutput Derived at 50% of output — Google Batch API uniform 50% discount.
xAI — Grok 4 (legacy) cachedInput Extrapolated at 25% of base.

Pricing is cross-verified against the LiteLLM community registry when available. Daily snapshots are kept in aicost_pricing_snapshots; every change is logged to aicost_price_changelog with old & new values for full audit trail. Read the full methodology →