Guides → Playground & Guide → AI Family Plan - ChatGPT Team, Claude Team, and Family Bundles
Meet Jamal Brooks. Parent of teenagers + small business owner. "Wife, two teens, me - all want AI access. Individual subscriptions = $80/mo. Family plan = ?"
🔥 Teens hitting free tier caps. Need a family solution that's cheaper than $80.
'Family plan' for AI doesn't really exist yet - but Team plans work. ChatGPT Team: $25/seat/mo (min 2). Claude Team: $25/seat/mo (min 5). Gemini Advanced: individual only, $20/mo. There are no proper consumer family plans like Netflix has. Workarounds exist.
Jamal's family of 4: 4× ChatGPT Plus = $80/mo. ChatGPT Team for 4 seats = $100/mo (more!). 4× Claude Pro = $80/mo. Realistic best: 1 ChatGPT Plus + 1 Claude Pro shared (login from multiple devices) = $40/mo. Account sharing technically violates ToS but is widely tolerated for households.
Three family approaches. (1) Free-tier-only - sign each family member up for free Claude/ChatGPT/Gemini. Covers most family needs. $0/mo. (2) Shared single subscription - one Plus account shared across devices. $20/mo. Risky on ToS. (3) Mixed - paid for primary user (parent's work), free tiers for kids' homework. $20-40/mo.
Sharing AI subscriptions across family or small team? ChatGPT Team, Claude Team, Gemini family options. Real per-user math + when family plan beats individual.
subscription
Below: live sliders. Move them to see numbers change in real time. * Output uses the generic compute model — for precise numbers use the full calculator below.
Each input shapes your cost. Move the slider — see the impact.
Open the full calculator — pick a model, enter your tokens, see per-call, daily, monthly, and annual cost.
🚀 Open the full calculator →Free tiers cover ~80% of family AI needs. Sign each family member up for ChatGPT + Claude + Gemini free. Multi-account rotation = effectively unlimited.
Single shared subscription works for 2-3 family members. One ChatGPT Plus or Claude Pro shared across devices. ToS officially says 'individual use' - practically tolerated.
Team plans aren't designed for families but can work. ChatGPT Team min 2 seats × $25 = $50/mo. Claude Team min 5 × $25 = $125/mo. Pricier than individual but with admin features that help track usage.
The honest answer: free tiers + 1-2 paid subscriptions is the family sweet spot. $20-40/mo, covers most use, no ToS gymnastics.
Same calculator, three different team sizes. Click a tab to see how the numbers shift.
Family of 3, light use. Each signs up for free ChatGPT + Claude + Gemini. Three free accounts × three tools = lots of free capacity. $0/mo.
Healthy range: Free tiers cover 100%
Jamal's family. Jamal: ChatGPT Plus $20 (work). Spouse + teens: free Claude + ChatGPT. $20/mo total. Every family member has AI access. Saves $60/mo over individual subscriptions.
Healthy range: 1 paid (parent's work) + 3 free (kids + spouse)
Family with 2 working parents + 2 college kids. Heavy use across all. ChatGPT Plus $20 × 2 + Claude Pro $20 × 2 = $80/mo. Each gets a paid sub matching their primary use.
Healthy range: Multiple paid subs justified
Family business, 5 users, business AI use. Claude Team $125/mo (5 × $25) gives admin controls + shared workspaces + business compliance. Team plan justified.
Healthy range: ChatGPT Team or Claude Team
Cost isn't the only dimension. Click any constraint — see how recommendations change.
There's no good consumer family plan from any AI vendor as of mid-2026. Free tiers + 1-2 paid is the realistic sweet spot.
N/A for family plan decision.
Mixing personal/business use on family plan is fine if business isn't regulated. For regulated work, separate Team or Enterprise.
Shared subscription means anyone with access sees everyone's chat history. Privacy concern for sensitive topics. Free individual accounts may be more private.
Not applicable.
Team plans often require annual commitment. Family setups should stay flexible.
Not applicable.
Tradeoff analysis is where most AI projects go sideways. Talk to a CFO-grade AI cost analyst →
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.
Parent uses ChatGPT free for occasional work. Kid uses Claude free for homework. Optional: 1 Plus subscription shared. $0-20/mo.
Healthy range: Free tier covers + 1 shared paid
Parents + 2 college kids. Parents: 1 ChatGPT Plus $20. Each kid: 1 Claude Pro $20 (heavy academic use). $60/mo total.
Healthy range: Mix paid and free
Homeschool family of 6. Parent-teacher: ChatGPT Plus + Claude Pro for lesson planning ($40). Kids: free tiers. ~$40-60/mo.
Healthy range: Mix subs by role
Honest limitations — every model is wrong; some are useful. Where this one falls short:
For these, use: Pick the right individual subscription. Try free first.
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.
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 →
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.
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 →