Which is cheaper, GPT-5.5 or Mistral Small?

Mistral Small. On a task of 1,500 input and 500 output tokens across 3 calls, Mistral Small costs $0.00158 per task against $0.06750 for GPT-5.5, which makes it 42.9x cheaper (a 98% saving).

How much do GPT-5.5 and Mistral Small charge per million tokens?

GPT-5.5: $5 per million input tokens and $30 per million output tokens. Mistral Small: $0.15 input and $0.6 output. These are published list rates as of August 2026, excluding cached, batch and long-context tiers.

What does a million tasks cost on GPT-5.5 vs Mistral Small?

At the same fixed profile, one million tasks cost $67,500 on GPT-5.5 and $1,575 on Mistral Small. The gap comes entirely from list-price differences, not from any difference in the work done.

Model price comparisons · August 2026

GPT-5.5 vs Mistral Small: API pricing compared

Same task, same tokens, two invoices. Every figure on this page is computed from our open pricing dataset, not copied from a blog post.

Mistral Small is 42.9x cheaper than GPT-5.5 on a realistic task profile of 1,500 input and 500 output tokens per call, 3 calls per task: $0.00158 against $0.06750 per task, a 98% saving on identical work. Run a million tasks a month and that is the difference between $1,575 and $67,500.

Model	Input $/1M tok	Output $/1M tok	Output multiple	$/task	$/1M tasks
GPT-5.5OpenAI · frontier	$5	$30	6x	$0.06750	$67,500
Mistral SmallMistral · value	$0.15	$0.6	4x	$0.00158	$1,575

Monthly bill at three volumes

Tasks / month	GPT-5.5	Mistral Small	Gap
10,000	$675	$16	$659
100,000	$6,750	$158	$6,593
1,000,000	$67,500	$1,575	$65,925

Where the money goes on each

GPT-5.5 prices output at 6x its input rate, so on this profile output is 67% of its task cost. Mistral Small prices output at 4x input, putting output at 57% of cost. The model with the higher output multiple rewards capping response length more; the one with the higher input share rewards prompt caching and context trimming more. Cost tells you nothing about quality: run both on twenty of your real cases before deciding, and treat the cheaper model as the default until it demonstrably fails.

Break-even against a dedicated GPU

Against a $2/hour dedicated instance ($1,460/month fixed), self-hosting overtakes GPT-5.5 at 21,630 tasks per month and overtakes Mistral Small at 926,984 tasks per month, which exceeds the box's capacity, so it never wins. The full method is in the self-hosting break-even guide.

Pricing the self-hosted side? Compare on-demand GPU rates:

Compare GPU cloud pricing →

Plug your own token counts into the $/task calculator, or read the full ten-model pricing comparison.

Compare against other models

Frequently asked

Which is cheaper, GPT-5.5 or Mistral Small?: Mistral Small. On a task of 1,500 input and 500 output tokens across 3 calls, Mistral Small costs $0.00158 per task against $0.06750 for GPT-5.5, which makes it 42.9x cheaper (a 98% saving).
How much do GPT-5.5 and Mistral Small charge per million tokens?: GPT-5.5: $5 per million input tokens and $30 per million output tokens. Mistral Small: $0.15 input and $0.6 output. These are published list rates as of August 2026, excluding cached, batch and long-context tiers.
What does a million tasks cost on GPT-5.5 vs Mistral Small?: At the same fixed profile, one million tasks cost $67,500 on GPT-5.5 and $1,575 on Mistral Small. The gap comes entirely from list-price differences, not from any difference in the work done.