IBM

Mistral Large (watsonx.ai) token cost

Mistral Large 2512 on watsonx.ai for stronger reasoning and multilingual enterprise work.

Published list rates

Input

$0.636

per 1M tokens

Output

$1.908

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
$0.04452
Output cost
$0.05724
Total cost
$0.10176
Combined price per 1M tokens
$1.0176
Estimated monthly cost
$61.056
Estimated daily cost
$2.0352

Cost as volume grows

Mistral Large (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 $0.000000636 $0.000002 $0.000001
10 $0.000006 $0.000019 $0.00001
100 $0.000064 $0.000191 $0.000102
200 $0.000127 $0.000382 $0.000204
300 $0.000191 $0.000572 $0.000305
400 $0.000254 $0.000763 $0.000407
500 $0.000318 $0.000954 $0.000509
1,000 $0.000636 $0.001908 $0.001018
2,000 $0.001272 $0.003816 $0.002035
5,000 $0.00318 $0.00954 $0.005088
10,000 $0.00636 $0.01908 $0.01018
25,000 $0.0159 $0.0477 $0.02544
50,000 $0.0318 $0.0954 $0.05088
100,000 $0.0636 $0.1908 $0.10176
250,000 $0.159 $0.477 $0.2544
500,000 $0.318 $0.954 $0.5088
1,000,000 $0.636 $1.908 $1.0176
5,000,000 $3.18 $9.54 $5.088
10,000,000 $6.36 $19.08 $10.176
50,000,000 $31.80 $95.40 $50.88
100,000,000 $63.60 $190.80 $101.76
500,000,000 $318.00 $954.00 $508.80
1,000,000,000 $636.00 $1,908.00 $1,017.60
10,000,000,000 $6,360.00 $19,080.00 $10,176.00
100,000,000,000 $63,600.00 $190,800.00 $101,760.00

Tokens for a fixed budget

Tokens Mistral Large (watsonx.ai) can process for a set budget — send-only, reply-only, and a 70/30 mix.

Budget Input tokens Output tokens Mixed tokens (70/30)
$0.01 15,723 5,241 9,827
$0.1 157,233 52,411 98,270
$0.5 786,164 262,055 491,352
$1.00 1.57M 524,109 982,704
$5.00 7.86M 2.62M 4.91M
$10.00 15.7M 5.24M 9.83M
$20.00 31.4M 10.5M 19.7M
$25.00 39.3M 13.1M 24.6M
$30.00 47.2M 15.7M 29.5M
$50.00 78.6M 26.2M 49.1M
$100.00 157.2M 52.4M 98.3M
$250.00 393.1M 131M 245.7M
$500.00 786.2M 262.1M 491.4M
$1,000.00 1.57B 524.1M 982.7M
$5,000.00 7.86B 2.62B 4.91B
$10,000.00 15.7B 5.24B 9.83B

At these rates

  • A workload with 70% input and 30% output costs $1.0176 per 1 million total tokens and $101.76 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 $0.08141, 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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