IBM

Llama 4 Maverick (watsonx.ai) token cost

Meta Llama 4 Maverick 17B FP8 on watsonx.ai for long-context enterprise chat.

Published list rates

Input

$0.371

per 1M tokens

Output

$1.484

per 1M tokens

Context window

1,000,000

tokens

Pricing source: IBM watsonx.ai pricing

Estimate cost

Estimate from text

Calculate from a token total

Project monthly volume

Daily requests × tokens per request × 30 days.

Estimated cost

Estimated tokens
100,000
Characters
400,000
Words
75,000
Input tokens
70,000
Output tokens
30,000
Input cost
$0.02597
Output cost
$0.04452
Total cost
$0.07049
Combined price per 1M tokens
$0.7049
Estimated monthly cost
$42.294
Estimated daily cost
$1.4098

Cost as volume grows

Three views of Llama 4 Maverick (watsonx.ai): sending only, receiving only, and a 70/30 mix. Same list rates, bigger rows.

Tokens Input only Output only Mix (70% in / 30% out)
1 $0.000000371 $0.000001 $0.0000007049
10 $0.000004 $0.000015 $0.000007
100 $0.000037 $0.000148 $0.00007
200 $0.000074 $0.000297 $0.000141
300 $0.000111 $0.000445 $0.000211
400 $0.000148 $0.000594 $0.000282
500 $0.000186 $0.000742 $0.000352
1,000 $0.000371 $0.001484 $0.000705
2,000 $0.000742 $0.002968 $0.00141
5,000 $0.001855 $0.00742 $0.003525
10,000 $0.00371 $0.01484 $0.007049
25,000 $0.009275 $0.0371 $0.01762
50,000 $0.01855 $0.0742 $0.03525
100,000 $0.0371 $0.1484 $0.07049
250,000 $0.09275 $0.371 $0.17623
500,000 $0.1855 $0.742 $0.35245
1,000,000 $0.371 $1.484 $0.7049
5,000,000 $1.855 $7.42 $3.5245
10,000,000 $3.71 $14.84 $7.049
50,000,000 $18.55 $74.20 $35.245
100,000,000 $37.10 $148.40 $70.49
500,000,000 $185.50 $742.00 $352.45
1,000,000,000 $371.00 $1,484.00 $704.90
10,000,000,000 $3,710.00 $14,840.00 $7,049.00
100,000,000,000 $37,100.00 $148,400.00 $70,490.00

Tokens for a fixed budget

How far a fixed spend goes on Llama 4 Maverick (watsonx.ai) at these list rates.

Budget Input tokens Output tokens Mixed tokens (70/30)
$0.01 26,954 6,739 14,186
$0.1 269,542 67,385 141,864
$0.5 1.35M 336,927 709,320
$1.00 2.7M 673,854 1.42M
$5.00 13.5M 3.37M 7.09M
$10.00 27M 6.74M 14.2M
$20.00 53.9M 13.5M 28.4M
$25.00 67.4M 16.8M 35.5M
$30.00 80.9M 20.2M 42.6M
$50.00 134.8M 33.7M 70.9M
$100.00 269.5M 67.4M 141.9M
$250.00 673.9M 168.5M 354.7M
$500.00 1.35B 336.9M 709.3M
$1,000.00 2.7B 673.9M 1.42B
$5,000.00 13.5B 3.37B 7.09B
$10,000.00 27B 6.74B 14.2B

At these rates

  • A workload with 70% input and 30% output costs $0.7049 per 1 million total tokens and $70.49 per 100 million.
  • At the same token count, output costs 4 times the input rate. Response length therefore deserves its own budget limit.
  • Filling the 1,000,000-token context window with input alone would cost about $0.371, before any output.

IBM

IBM watsonx.ai foundation models with public pay-as-you-go per-million token rates.

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

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