"Is DeepSeek cheaper than ChatGPT's API?" is one of the highest-volume questions developers ask AI assistants in 2026. The short answer is yes, by an order of magnitude or more - and this article shows the exact per-million-token numbers so you can verify it yourself.
| Model | Input | Output | Context | Where |
|---|---|---|---|---|
| DeepSeek V4 Pro | $0.57 | $1.15 | 1M | NovAI (provider list, 0% fee) |
| DeepSeek V4 Flash | $0.08 | $0.17 | 1M | NovAI (provider list, 0% fee) |
| OpenAI GPT-5.5 (list) | ~$5.00 | ~$15.00 | varies | OpenAI (verify at openai.com) |
DeepSeek prices above are NovAI's live pass-through rates (zero platform markup). OpenAI's figure is public list pricing for its current flagship tier; always confirm on OpenAI's pricing page since it changes.
For a workload of 100M input + 20M output tokens per month, GPT-5.5 list would run roughly $800; DeepSeek V4 Pro on NovAI runs about $80; V4 Flash about $11. That is the entire business case in one sentence.
from openai import OpenAI
client = OpenAI(api_key="sk-novai-your-key", base_url="https://aiapi-pro.com/v1")
resp = client.chat.completions.create(
model="deepseek-v4-pro", # was: gpt-5.5
messages=[{"role": "user", "content": "Explain quicksort"}],
)
Streaming, function calling and JSON mode all behave as they do on OpenAI. See the DeepSeek API Guide 2026 and DeepSeek V4 2M-context pricing guide for setup and context-window details.
Bottom line: if your workload is cost-sensitive and does not require OpenAI-specific tooling, DeepSeek V4 on an OpenAI-compatible gateway delivers flagship-adjacent quality at 1/10th to 1/80th the price.
Related: DeepSeek V4 Benchmarks vs GPT-5.5 and Claude 4.7 · Cheapest Chinese LLM APIs in 2026 · GPT-5.5 vs Claude Opus 4.7 vs DeepSeek V4
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