Claude Opus 4.8 vs Mistral Small 3.1 24B: API price and specs

Mistral Small 3.1 24B is 97% cheaper than Claude Opus 4.8 on input price.

Mistral Small 3.1 24B is 99% cheaper than Claude Opus 4.8 on output price.

Mistral Small 3.1 24B is 98% cheaper than Claude Opus 4.8 on a 1M-in / 200k-out workload.

Claude Opus 4.8 has a 719.2% larger context than Mistral Small 3.1 24B.

Field	Claude Opus 4.8	Mistral Small 3.1 24B
Lowest input, per 1M	$1.50 +2900%	$0.05
Median input, per 1M	$5.00 +4617%	$0.11
Lowest output, per 1M	$9.25 +9150%	$0.10
Median output, per 1M	$25.00 +7761.6%	$0.32
Lowest unit price	$0.001 / request	—
Cost of 1M in + 200k out	$3.35 +4685.7%	$0.07
Context	1M	128K +87.8%
Max output	128K	128K
Providers	34	7 +79.4%
Regions	APAC, AU, EU, GLOBAL, JP, US	—
Accepts	application/pdf, file, image, image/gif, image/jpeg, image/png, image/webp, pdf, text	image, text
Returns	text	text
Type	Text models	Text models
Free option	no	no
Cheapest provider	xpersona	deepinfra

Your own workload: how many tokens the model gets (input) and gives back (output) - for example, in a month. The "Cost" row of the table above is recalculated for these numbers, for each model.

Computed from current offers each time the page opens; the best value of a row is bold, the percent is how far behind the best.

Providers selling both

aihubmix, azure, cortecs, deepinfra, google-vertex, requesty

Frequently asked questions

Which is cheaper, Claude Opus 4.8 or Mistral Small 3.1 24B?

Mistral Small 3.1 24B is 97% cheaper than Claude Opus 4.8 on input price. Mistral Small 3.1 24B is 99% cheaper than Claude Opus 4.8 on output price. Mistral Small 3.1 24B is 98% cheaper than Claude Opus 4.8 on a 1M-in / 200k-out workload.

Which has the larger context, Claude Opus 4.8 or Mistral Small 3.1 24B?

Claude Opus 4.8: 1M tokens; Mistral Small 3.1 24B: 128K tokens.

Where can I use both Claude Opus 4.8 and Mistral Small 3.1 24B?

aihubmix, azure, cortecs, deepinfra, google-vertex, requesty