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Model price comparisons · August 2026

DeepSeek-V4-Flash vs GPT-5.5: 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.

DeepSeek-V4-Flash is 17.0x cheaper than GPT-5.5 on a realistic task profile of 1,500 input and 500 output tokens per call, 3 calls per task: $0.00396 against $0.06750 per task, a 94% saving on identical work. Run a million tasks a month and that is the difference between $3,960 and $67,500.

ModelInput $/1M tokOutput $/1M tokOutput multiple$/task$/1M tasks
DeepSeek-V4-FlashDeepSeek · value$0.44$1.323x$0.00396$3,960
GPT-5.5OpenAI · frontier$5$306x$0.06750$67,500

Monthly bill at three volumes

Tasks / monthDeepSeek-V4-FlashGPT-5.5Gap
10,000$40$675$635
100,000$396$6,750$6,354
1,000,000$3,960$67,500$63,540

Where the money goes on each

DeepSeek-V4-Flash prices output at 3x its input rate, so on this profile output is 50% of its task cost. GPT-5.5 prices output at 6x input, putting output at 67% 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 DeepSeek-V4-Flash at 368,687 tasks per month and overtakes GPT-5.5 at 21,630 tasks per month. 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, DeepSeek-V4-Flash or GPT-5.5?
DeepSeek-V4-Flash. On a task of 1,500 input and 500 output tokens across 3 calls, DeepSeek-V4-Flash costs $0.00396 per task against $0.06750 for GPT-5.5, which makes it 17.0x cheaper (a 94% saving).
How much do DeepSeek-V4-Flash and GPT-5.5 charge per million tokens?
DeepSeek-V4-Flash: $0.44 per million input tokens and $1.32 per million output tokens. GPT-5.5: $5 input and $30 output. These are published list rates as of August 2026, excluding cached, batch and long-context tiers.
What does a million tasks cost on DeepSeek-V4-Flash vs GPT-5.5?
At the same fixed profile, one million tasks cost $3,960 on DeepSeek-V4-Flash and $67,500 on GPT-5.5. The gap comes entirely from list-price differences, not from any difference in the work done.