Llama 3.3 70B vs GPT-4o mini: token pricing & cost compared (July 2026)

How Llama 3.3 70B (Meta) and GPT-4o mini (OpenAI) actually compare on price — input, output, and total monthly cost at the MAU you care about. Updated against live OpenRouter pricing.

Llama 3.3 70B

Input: $0.10 / 1M tokens
Output: $0.32 / 1M tokens
Output / Input ratio: 3.2×
Context window: 131.072K

OpenAI

GPT-4o mini

Input: $0.15 / 1M tokens
Output: $0.60 / 1M tokens
Output / Input ratio: 4.0×
Context window: 128K

The short answer

Llama 3.3 70B is cheaper across the board for typical workloads.

Token pricing side-by-side

Llama 3.3 70B
GPT-4o mini

Cost at your usage

Avg input tokens / call

Avg output tokens / call

Calls per active user / day: 5

Active days / month: 20

MAU: 1,000

Llama 3.3 70B

Per call

$0.00021

Per user / mo

$0.0210

Total / mo

$21

GPT-4o mini

Per call

$0.00037

Per user / mo

$0.0375

Total / mo

$37

Llama 3.3 70B is cheaper by $0.0165/user/month — a saving of $16/month at 1,000 MAU.

Total monthly bill across MAU

Llama 3.3 70B
GPT-4o mini

Same usage profile applied to both models; only the per-token price differs.

Run this against your real numbers

The mini-calculator above is a preview. Use the full tools to model power-user blast radius, gross margin, and 12-month spend forecasts.

Other comparisons

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Comparing Llama 3.3 70B vs GPT-4o mini on price alone never tells the whole story — output-token weighting, context length, and your usage profile change the answer dramatically. Use the calculators below for the full picture.