IBM

Llama 3.3 70B (watsonx.ai) token cost calculator

Llama 3.3 70B Instruct on watsonx.ai at the published pay-as-you-go token rate.

Published list rates

Input

$0.7526

per 1M tokens

Output

$0.7526

per 1M tokens

Context window

128,000

tokens

Pricing source: IBM watsonx.ai pricing

Token cost calculator

List prices are stored in US dollars. Conversions use the units-per-dollar exchange-rate snapshot last checked 2026-07-31

Estimate from text

Calculate from a token total

Project monthly volume

Uses the input/output mix above and a 30-day month: requests per day × tokens per request × 30.

Estimated cost

Estimated tokens
Characters
Words
Input tokens
Output tokens
Input cost
Output cost
Total cost
Combined price per 1M tokens
Estimated monthly cost
Estimated daily cost

Cost by token volume

Compare input-only, output-only, and 70/30 mixed workloads from one token to 100 billion. Intermediate bands make smaller production steps easier to price.

Tokens Input only Output only 70/30 mix
1 $0.0000007526 $0.0000007526 $0.0000007526
10 $0.000008 $0.000008 $0.000008
100 $0.000075 $0.000075 $0.000075
200 $0.000151 $0.000151 $0.000151
300 $0.000226 $0.000226 $0.000226
400 $0.000301 $0.000301 $0.000301
500 $0.000376 $0.000376 $0.000376
1,000 $0.000753 $0.000753 $0.000753
2,000 $0.001505 $0.001505 $0.001505
5,000 $0.003763 $0.003763 $0.003763
10,000 $0.007526 $0.007526 $0.007526
25,000 $0.01882 $0.01882 $0.01882
50,000 $0.03763 $0.03763 $0.03763
100,000 $0.07526 $0.07526 $0.07526
250,000 $0.18815 $0.18815 $0.18815
500,000 $0.3763 $0.3763 $0.3763
1,000,000 $0.7526 $0.7526 $0.7526
5,000,000 $3.763 $3.763 $3.763
10,000,000 $7.526 $7.526 $7.526
50,000,000 $37.63 $37.63 $37.63
100,000,000 $75.26 $75.26 $75.26
500,000,000 $376.30 $376.30 $376.30
1,000,000,000 $752.60 $752.60 $752.60
10,000,000,000 $7,526.00 $7,526.00 $7,526.00
100,000,000,000 $75,260.00 $75,260.00 $75,260.00

Tokens available by budget

See how many tokens a fixed budget buys at the published rates. Display-currency values use the current exchange-rate snapshot shown on the page.

Budget Input tokens Output tokens Mixed tokens (70/30)
$0.01 13,287 13,287 13,287
$0.1 132,873 132,873 132,873
$0.5 664,364 664,364 664,364
$1.00 1.33M 1.33M 1.33M
$5.00 6.64M 6.64M 6.64M
$10.00 13.3M 13.3M 13.3M
$20.00 26.6M 26.6M 26.6M
$25.00 33.2M 33.2M 33.2M
$30.00 39.9M 39.9M 39.9M
$50.00 66.4M 66.4M 66.4M
$100.00 132.9M 132.9M 132.9M
$250.00 332.2M 332.2M 332.2M
$500.00 664.4M 664.4M 664.4M
$1,000.00 1.33B 1.33B 1.33B
$5,000.00 6.64B 6.64B 6.64B
$10,000.00 13.3B 13.3B 13.3B

Cost profile

  • A workload with 70% input and 30% output costs $0.7526 per 1 million total tokens and $75.26 per 100 million.
  • At the same token count, output costs 1 times the input rate. Response length therefore deserves its own budget limit.
  • Filling the 128,000-token context window with input alone would cost about $0.09633, before any output.

About IBM

IBM watsonx.ai foundation models with public pay-as-you-go per-million token rates. The Llama 3.3 70B (watsonx.ai) page covers this meter in detail; the IBM hub gathers the rest of the lineup with a pricing table, list-rate ranges, and calculators side by side.

See all IBM models and the pricing table

How the text estimate works

For rough planning, CostUse uses about four characters per token and about 0.75 words per token. Actual tokenization changes with language, model, formatting, and special tokens.

IBM lists a single pay-as-you-go figure for this model row; treat input and output at the same published rate and confirm the live table.

These results use public list prices. Cache eligibility, batch or priority modes, long-context surcharges, discounts, and regional billing can change the final invoice.

Questions about this rate

How much is 1 million mixed tokens on Llama 3.3 70B (watsonx.ai)?

About $0.7526 at a 70% input / 30% output mix using list prices verified 2026-07-30.

How much are 100 million mixed tokens?

About $75.26 at the same 70/30 mix — useful for rough monthly volume planning.

What is the Llama 3.3 70B (watsonx.ai) price per million input and output tokens?

Input $0.7526 and output $0.7526 per 1M tokens (USD list rates). Use the calculator above with your real token mix.

Is the text-to-token estimate exact?

No. The estimator approximates tokens from characters and words. Real bills depend on the provider tokenizer, special tokens, and discounts (cache, batch, priority).

What does cost per token mean, and why is output usually more expensive?

Providers charge for tokens processed. Output tokens (generated replies) often cost several times more than input tokens (your prompt), so completion length can dominate the bill.

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