DeepSeek AI Token Cost Calculator: DeepSeek vs OpenAI 2026

Compare real-world API token pricing between DeepSeek-V3, DeepSeek-R1, GPT-4o, and Claude 3.5. Models 90% prompt caching savings, agent reasoning overhead, and actual production margins.

LLM Provider / Model (2026) Standard Input / 1M Cached Input / 1M Output / 1M Monthly Estimate*
DeepSeek-V3 (Flagship) $0.14 $0.014 (-90%) $0.28 —
DeepSeek-R1 (Reasoning) $0.55 $0.14 (-75%) $2.19 —
GPT-5-Nano / 4o-mini $0.15 $0.075 (-50%) $0.60 —
Claude 3.5 Haiku $0.80 $0.08 (-90%) $4.00 —
OpenAI GPT-4o (Standard) $2.50 $1.25 (-50%) $10.00 —
Claude 3.5 Sonnet $3.00 $0.30 (-90%) $15.00 —

*Estimates based on active token split and workload parameters chosen in the interactive calculator.

Frequently Asked Questions

How does DeepSeek-V3 pricing compare to OpenAI GPT-4o?
DeepSeek-V3 costs $0.14 per 1M input tokens ($0.014 cached) and $0.28 per 1M output tokens. Compared to GPT-4o ($2.50 input / $10.00 output), DeepSeek-V3 is ~18x cheaper on input and ~35x cheaper on output generation.
What is DeepSeek's 90% prompt caching discount?
When your application reuses system prompts, long conversation histories, or RAG context, DeepSeek automatically charges $0.014 per million tokens on cached context—a 90% discount applied without manual server setup.
How does DeepSeek-R1 reasoning overhead affect costs?
DeepSeek-R1 ($0.55 input / $2.19 output per 1M) generates internal reasoning "chain-of-thought" tokens before delivering user responses. While this increases output volume by 30% to 80%, total cost remains over 80% cheaper than OpenAI o1/o3 reasoning models.
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