Guides → Playground & Guide → Free Tier Checker - What You Can Actually Get for $0/Month
Meet Daniela Costa. Recent grad, freelancing on a tight budget. "I want to use AI but can't afford $20/mo right now. What's actually free?"
🔥 Free tiers feel like bait-and-switch. Want clear limits before relying on them.
Free tiers in 2025-26 are remarkably generous. ChatGPT free: GPT-5.5 with daily limits, image generation, web browsing. Claude free: Sonnet 4.6 with daily message cap. Gemini free: Gemini 3 Flash unlimited + Pro with daily cap. Combined, three free accounts cover ~80% of typical personal AI use without paying.
Daniela's mix: writing client emails, research for freelance work, occasional brainstorming. With 3 free accounts (ChatGPT + Claude + Gemini) she can rotate when one hits its limit. Total cost: $0. Total productive hours: 5-10/week. Trade-off: model quality varies on free tiers, occasional 'come back tomorrow' messages.
Three rules for free-tier living. (1) Sign up for all three majors - they fail at different times of day. (2) Use 'cheap mode' first (Gemini Flash unlimited) before burning daily caps on Sonnet/GPT-5.5. (3) Plan your high-quality queries - save Sonnet/GPT-5.5 caps for the queries that actually need them.
Free AI tiers are real. ChatGPT, Claude, Gemini all give meaningful free use. Find which combination covers your needs without spending a dollar.
free_tier
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 →Light use (under 5 hr/week, under 20 queries/day): free tiers cover. Combine ChatGPT + Claude + Gemini accounts. Rotate when caps hit.
Moderate use (5-15 hr/week, 20-50 queries/day): free covers most days. You'll hit caps occasionally. Either accept it or upgrade ONE subscription.
Heavy use (>15 hr/week, >50 queries/day): free not viable. You'll constantly hit caps. Upgrade to one $20 subscription matching primary use.
Same calculator, three different team sizes. Click a tab to see how the numbers shift.
Student. 4 hours/week, 10 queries/day. ChatGPT + Claude + Gemini free covers all. $0/mo. Don't subscribe.
Healthy range: Free tiers cover 100%
Daniela's case. Free covers 90% of days. Occasional 'come back tomorrow' on premium tier. Workaround: switch to Gemini Flash (unlimited) for capped days. Stay free.
Healthy range: 90% free, occasional cap-hit days
Professional with daily heavy use. Free tiers run out by 2pm. Upgrade ONE ($20/mo) matching primary use. Keep free accounts on others as backup.
Healthy range: Free hits caps daily - upgrade one
Cost isn't the only dimension. Click any constraint — see how recommendations change.
All three are genuinely useful free. Sign up for all. Cost = $0. Coverage = ~80% of typical use.
Free vs paid has same model quality. The difference is rate limits, not capability.
Free for personal use only. Don't use for any regulated workflow.
Free typically means 'we use your data'. ChatGPT free trains unless you opt out. Claude free is the privacy default.
Capacity is allocated to paid first. Free can be slow during US business hours. Off-hours typically fine.
Switch tomorrow if you want. No commitment.
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.
Curious learner. 3 hr/week. Free Claude or ChatGPT covers it. Don't subscribe.
Healthy range: Free perfectly fine
Freelance writer. Free tiers cover most weeks. Big project month? Upgrade to $20/mo for that month. Cancel after. Pay-as-you-go pattern.
Healthy range: Free + occasional paid month
Developer evaluating AI. Free chat + new-account API credits ($5-25 typical) for testing. Don't pay until you ship something making money from it.
Healthy range: Free tier + API free credits
Lawyer, doctor, accountant using AI for occasional tasks. Free tier sufficient. Don't bury subscriptions in your expense report unless you actually use them daily.
Healthy range: Free covers - no need to spend
Honest limitations — every model is wrong; some are useful. Where this one falls short:
For these, use: Subscription Picker when ready to upgrade. Cost Calculator for API usage.
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 →