IBM

Mistral Small 3.1 24B (watsonx.ai) token cost

Mistral Small 3.1 24B on watsonx.ai for low-cost European open routing.

Published list rates

Input

$0.106

per 1M tokens

Output

$0.318

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
$0.00742
Output cost
$0.00954
Total cost
$0.01696
Combined price per 1M tokens
$0.1696
Estimated monthly cost
$10.176
Estimated daily cost
$0.3392

Cost as volume grows

Mistral Small 3.1 24B (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 $0.000000106 $0.000000318 $0.0000001696
10 $0.000001 $0.000003 $0.000002
100 $0.000011 $0.000032 $0.000017
200 $0.000021 $0.000064 $0.000034
300 $0.000032 $0.000095 $0.000051
400 $0.000042 $0.000127 $0.000068
500 $0.000053 $0.000159 $0.000085
1,000 $0.000106 $0.000318 $0.00017
2,000 $0.000212 $0.000636 $0.000339
5,000 $0.00053 $0.00159 $0.000848
10,000 $0.00106 $0.00318 $0.001696
25,000 $0.00265 $0.00795 $0.00424
50,000 $0.0053 $0.0159 $0.00848
100,000 $0.0106 $0.0318 $0.01696
250,000 $0.0265 $0.0795 $0.0424
500,000 $0.053 $0.159 $0.0848
1,000,000 $0.106 $0.318 $0.1696
5,000,000 $0.53 $1.59 $0.848
10,000,000 $1.06 $3.18 $1.696
50,000,000 $5.30 $15.90 $8.48
100,000,000 $10.60 $31.80 $16.96
500,000,000 $53.00 $159.00 $84.80
1,000,000,000 $106.00 $318.00 $169.60
10,000,000,000 $1,060.00 $3,180.00 $1,696.00
100,000,000,000 $10,600.00 $31,800.00 $16,960.00

Tokens for a fixed budget

How far a fixed spend goes on Mistral Small 3.1 24B (watsonx.ai) at these list rates.

Budget Input tokens Output tokens Mixed tokens (70/30)
$0.01 94,340 31,447 58,962
$0.1 943,396 314,465 589,623
$0.5 4.72M 1.57M 2.95M
$1.00 9.43M 3.14M 5.9M
$5.00 47.2M 15.7M 29.5M
$10.00 94.3M 31.4M 59M
$20.00 188.7M 62.9M 117.9M
$25.00 235.8M 78.6M 147.4M
$30.00 283M 94.3M 176.9M
$50.00 471.7M 157.2M 294.8M
$100.00 943.4M 314.5M 589.6M
$250.00 2.36B 786.2M 1.47B
$500.00 4.72B 1.57B 2.95B
$1,000.00 9.43B 3.14B 5.9B
$5,000.00 47.2B 15.7B 29.5B
$10,000.00 94.3B 31.4B 59B

At these rates

  • A workload with 70% input and 30% output costs $0.1696 per 1 million total tokens and $16.96 per 100 million.
  • At the same token count, output costs 3 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 $0.01357, 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.

Related models