AI Model Cost Comparison
See every current GPT, Claude, and Gemini model's monthly cost for the same usage, ranked cheapest first.
Estimated cost
$187.50/month
Per request
$0.00625
Per day
$6.25
Per year
$2,281.25
Compare across models
| Model | Provider | Per month |
|---|---|---|
| OpenAI | $7.50 | |
| OpenAI | $13.50 | |
| OpenAI | $24.00 | |
| OpenAI | $36.00 | |
| OpenAI | $37.50 | |
| OpenAI | $37.50 | |
| $46.50 | ||
| $78.75 | ||
| Anthropic | $105.00 | |
| OpenAI | $180.00 | |
| OpenAI | $180.00 | |
| $180.00 | ||
| OpenAI | $187.50 | |
| Anthropic | $210.00 | |
| OpenAI | $225.00 | |
| OpenAI | $240.00 | |
| $240.00 | ||
| Anthropic | $315.00 | |
| OpenAI | $420.00 | |
| Anthropic | $525.00 | |
| Anthropic | $525.00 | |
| Anthropic | $525.00 | |
| Anthropic | $1,050.00 |
Usage
$1.25/M in · $0.125/M cached in · $10.00/M out · 400K context
How this is calculated
Providers bill input and output tokens separately, per million tokens (MTok). Cached input tokens — a repeated prompt prefix the provider recognizes — are billed at a discounted rate.
cost = (input_tokens − cached_tokens) × input_rate
+ cached_tokens × cached_rate
+ output_tokens × output_ratePricing is verified against provider pricing pages as of 2026-09-01. AI and cloud pricing changes frequently — confirm the current rate on the provider's own pricing page before budgeting.
Frequently asked questions
What models are included in this comparison?
Every current-generation OpenAI GPT model, every current Claude model, and every current Gemini model — ranging from budget/mini tiers to flagship reasoning models.
Why does the ranking change when I adjust token counts?
Models have different input-to-output price ratios. A model that's cheapest for input-heavy workloads (e.g. summarization) can rank differently for output-heavy workloads (e.g. long-form generation).
Does a lower cost per token mean lower total cost?
Not necessarily — it means lower cost for the same token counts. A less capable cheap model may need more tokens (retries, longer reasoning, verbose output) to complete the same task as a pricier one.
How is context window relevant to cost?
A larger context window lets you fit more history or reference material into one request without truncating, but it doesn't change the per-token price — long conversations still cost more the more tokens you resend each turn.