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Free Tier Checker - What You Can Actually Get for $0/Month

🚀 Open the calculator

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.

The story

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.

🎮 Playground

Free Tier Checker Playground

Here are the inputs that move the result the most. Play with the sliders and check it out. The number updates live.

Will the free tier be enough?

Estimates how hard you’ll push a free plan from your usage and quality needs.

Free-tier pressure
—

💡Pressure blends weekly hours, daily queries, and quality need. Above ~60% you’ll likely need a paid plan.

Three real scenarios

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

$0.00 / month ≈ $0.00 / year

Student. 4 hours/week, 10 queries/day. ChatGPT + Claude + Gemini free covers all. $0/mo. Don't subscribe.

Healthy range: Free tiers cover 100%

See inputs used
weeklyAiHours
4
queriesPerDay
10
qualityNeed
5

Use cases

Same calculator, different applications. Sizes above, workloads here. Pick the one that looks like yours.

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

$0.00 / month ≈ $0.00 / year

Curious learner. 3 hr/week. Free Claude or ChatGPT covers it. Don't subscribe.

Healthy range: Free perfectly fine

See inputs used
weeklyAiHours
3
queriesPerDay
8
qualityNeed
6

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 →

Free-tier-friendly vendors right now

Verified 13 hours ago
  1. 1
    GPT-5 Mini
    $0.250 in · $2.00 out ·
  2. 2
    gpt-5.1-codex-mini
    $0.250 in · $2.00 out ·
  3. 3
    Command
    $1.00 in · $2.00 out ·

About this calculator: Free Tier Checker - What You Can Actually Get for $0/Month

Free AI tiers are real. ChatGPT, Claude, Gemini all give meaningful free use. Find which combination covers your needs without spending a dollar.

🎛 Inputs you control

Each input shapes the cost. Click an input on the calculator to set it. The explanations below match the live calculator field by field.

▸ How often you use AI: How often you actually use AI.
How to choose: A few times a month vs all day. Light users often stay happily on free tiers like ChatGPT, Gemini, Claude, or DeepSeek.
▸ What you use AI for: What you use AI for.
How to choose: Pick all that apply; some free tiers are great for chat but limited for images, long documents, or coding.
▸ Hitting usage limits: Whether you hit caps — message limits, slow responses, or "try again later".
How to choose: If you regularly hit limits, a paid plan may be worth it; if not, free is probably fine.
▸ What matters to you: What matters most — privacy, speed, the best model, or no limits.
How to choose: Pick any; we weigh these when deciding whether free is enough or a paid plan fits better.

Reading your result

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.

What "good" looks like:
  • Strong free-tier fit: Students, occasional users, hobbyists, budget-constrained
  • Moderate fit: Solopreneurs, side projects - works most of the time
  • Skip free tier: Daily professional reliance - frustration > savings
  • Combine 3 accounts: Always rotate - one's cap hit doesn't mean all are

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 when ready to upgrade. Cost Calculator for API usage.

Trade-offs

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

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

Best fit for "cost":

  1. ChatGPT free GPT-5.5 limited, image gen
  2. Claude free Sonnet 4.6 limited, no images
  3. Gemini free Flash unlimited + Pro limited

All three are genuinely useful free. Sign up for all. Cost = $0. Coverage = ~80% of typical use.

Most popular

Everything above is the 80% case. The last 20% is where the money is.

The gaps we just listed are real, and they are the expensive ones: your actual prompts, your switching cost, your MLOps overhead. An AICost expert spends the hour on your AI and cloud costs, not a generic playbook. You leave with a written report: the way forward, in 30 days of concrete steps.

  • An hour with the people who built the engines
  • Report the same day
  • The fee credits toward any AICost plan
  • Two slots a week
Book a Solution Session: $299 → or $99 for small business →

Not sure yet? The $39 AICost Blueprint credits toward a Session, and the Session fee credits toward any plan. You never pay twice for the same ground. See all pricing →

Ready to run your own numbers?

You have seen the shape of it. Open the calculator with your model, your tokens, your volume.

🚀 Open the full calculator →

Where to go next

Ready to subscribe? Pick the right one →

When free isn't enough.

 Annual vs monthly billing →

Save 15-20% if you commit.

 Creator-tier bundle →

If you do creative work.

Methodology

Source
/ai-cost-economics
Extraction
Free-tier limits monitored monthly across major vendors.
Editorial gate
8-layer defense, see aicost.ai/ai-cost-economics
Last verified
7/20/2026, 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 158 text models · 9 embeddings · 37 vision · 55 audio · 8 vector DBs across 10 vendor pages · last verified 2026-07-21

Methodology

  • All prices are USD per 1 million tokens, current as of 2026-07-21.
  • 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
2026-07-21
https://www.anthropic.com/pricing
Daily snapshot since Sep 2023 · 624 days captured
Anthropic Docs
2026-07-21
https://platform.claude.com/docs/en/about-claude/pricing
Daily snapshot since Sep 2023 · 624 days captured
OpenAI
2026-07-21
https://openai.com/api/pricing/
Daily snapshot since Sep 2023 · 625 days captured
Google AI
2026-07-21
https://ai.google.dev/gemini-api/docs/pricing
Daily snapshot since Dec 2023 · 600 days captured
Google Vertex
2026-07-21
https://cloud.google.com/vertex-ai/generative-ai/pricing
Daily snapshot since Dec 2023 · 600 days captured
DeepSeek
2026-07-21
https://api-docs.deepseek.com/quick_start/pricing
Daily snapshot since May 2024 · 539 days captured
xAI
2026-07-21
https://x.ai/api
Daily snapshot since Nov 2024 · 457 days captured
Mistral
2026-07-21
https://mistral.ai/pricing
Daily snapshot since Dec 2023 · 598 days captured
Cohere
2026-07-21
https://cohere.com/pricing
Daily snapshot since Sep 2023 · 624 days captured
Voyage AI
2026-07-21
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 →