IBM

Granite 4H Small (watsonx.ai) token cost

IBM Granite 4H Small pay-as-you-go rates on watsonx.ai for enterprise open models.

Published list rates

Input

$0.0636

per 1M tokens

Output

$0.265

per 1M tokens

Context window

128,000

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
$0.004452
Output cost
$0.00795
Total cost
$0.0124
Combined price per 1M tokens
$0.12402
Estimated monthly cost
$7.4412
Estimated daily cost
$0.24804

Cost as volume grows

Granite 4H Small (watsonx.ai) at rising volume: prompt-only, reply-only, and a mixed chat (70% in, 30% out).

Tokens Input only Output only Mix (70% in / 30% out)
1 $0.0000000636 $0.000000265 $0.000000124
10 $0.000000636 $0.000003 $0.000001
100 $0.000006 $0.000027 $0.000012
200 $0.000013 $0.000053 $0.000025
300 $0.000019 $0.00008 $0.000037
400 $0.000025 $0.000106 $0.00005
500 $0.000032 $0.000133 $0.000062
1,000 $0.000064 $0.000265 $0.000124
2,000 $0.000127 $0.00053 $0.000248
5,000 $0.000318 $0.001325 $0.00062
10,000 $0.000636 $0.00265 $0.00124
25,000 $0.00159 $0.006625 $0.003101
50,000 $0.00318 $0.01325 $0.006201
100,000 $0.00636 $0.0265 $0.0124
250,000 $0.0159 $0.06625 $0.031
500,000 $0.0318 $0.1325 $0.06201
1,000,000 $0.0636 $0.265 $0.12402
5,000,000 $0.318 $1.325 $0.6201
10,000,000 $0.636 $2.65 $1.2402
50,000,000 $3.18 $13.25 $6.201
100,000,000 $6.36 $26.50 $12.402
500,000,000 $31.80 $132.50 $62.01
1,000,000,000 $63.60 $265.00 $124.02
10,000,000,000 $636.00 $2,650.00 $1,240.20
100,000,000,000 $6,360.00 $26,500.00 $12,402.00

Tokens for a fixed budget

If you cap spend, this is roughly how many Granite 4H Small (watsonx.ai) tokens that money buys.

Budget Input tokens Output tokens Mixed tokens (70/30)
$0.01 157,233 37,736 80,632
$0.1 1.57M 377,358 806,322
$0.5 7.86M 1.89M 4.03M
$1.00 15.7M 3.77M 8.06M
$5.00 78.6M 18.9M 40.3M
$10.00 157.2M 37.7M 80.6M
$20.00 314.5M 75.5M 161.3M
$25.00 393.1M 94.3M 201.6M
$30.00 471.7M 113.2M 241.9M
$50.00 786.2M 188.7M 403.2M
$100.00 1.57B 377.4M 806.3M
$250.00 3.93B 943.4M 2.02B
$500.00 7.86B 1.89B 4.03B
$1,000.00 15.7B 3.77B 8.06B
$5,000.00 78.6B 18.9B 40.3B
$10,000.00 157.2B 37.7B 80.6B

At these rates

  • A workload with 70% input and 30% output costs $0.12402 per 1 million total tokens and $12.402 per 100 million.
  • At the same token count, output costs 4.17 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 $0.008141, before any output.

IBM

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

All IBM models

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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