OpenAI vs DeepSeek

OpenAI has broader platform maturity; DeepSeek has tracked cache-miss and cache-hit pricing that may fit cost-sensitive routing tests.

Choose OpenAI if:

Choose OpenAI if you need verified cost estimates in the currently verified dataset.

Choose DeepSeek if:

Choose DeepSeek when cache-miss pricing, context length, and workflow quality are validated against your use case.

Watch out for:

DeepSeek cache-hit pricing is not the default. StackLens estimates use cache-miss pricing unless a cache-hit percentage is supplied.

Comparison table

Dimension	OpenAI	DeepSeek
Pricing posture	Tracked input and output rates.	Tracked cache-miss input, cache-hit input, and output rates for deepseek-v4-pro and DeepSeek V4 Flash.
Best for	Production features and routing.	Cost-sensitive routing tests where cache-miss pricing and quality are validated.
Developer experience	Mature SDK and ecosystem.	Requires careful docs review.
Limits / uncertainty	Monitor output and retries.	Do not assume cache-hit savings; model cache-hit percentage explicitly.
Source confidence	medium	high for supplied 2026-07-12 pricing values

FAQ

Why does StackLens use DeepSeek cache-miss pricing?

Cache-miss is the defensible default. Cache-hit savings depend on workload behavior and are only applied when explicitly modeled.

Can DeepSeek replace OpenAI purely on price?

Not by price alone. Test quality, latency, context behavior, and retry rates before routing production traffic.