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.
💡 Related AI Infrastructure Tools: Tokens to Words Converter • ChatGPT API Cost Calculator • LLM VRAM & KV Cache Calculator • Prompt Caching Optimizer
| 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.