Deep Reasoning & Logic
Native Chain-of-Thought allows the model to self-correct and handle multi-step logic before providing a final answer.
curl --request POST "https://gptproto.com/v1/chat/completions" \
--header "Authorization: Bearer $GPTPROTO_API_KEY" \
--header "Content-Type: application/json" \
--data '{
"model": "deepseek-r1",
"messages": [
{
"role": "user",
"content": "Hello"
}
]
}'Chat, coding agents & document work. Priced per 1M tokens — input, cached input and output are billed separately. GPTProto is 40% below official rates.
DeepSeek · ≈ 100M tokens/mo (0M cached)
OpenRouter costs include its ~5.5% credit purchase fee. GPTProto applies a per-model discount (10–30% off) and your bonus credits are also spent at discounted rates — savings compound. Estimates assume a 60% cache hit rate.
The DeepSeek R1 API brings frontier reasoning to your application with specific optimizations for technical and logical excellence.
Native Chain-of-Thought allows the model to self-correct and handle multi-step logic before providing a final answer.
R1 achieves a 97.3% score on MATH-500, making it an industry leader for symbolic logic and academic research applications.
With 90.6% on HumanEval, the API handles complex algorithm design and deep code audits comparable to the best proprietary models.
Built on MoE architecture, R1 delivers frontier intelligence at 1/20th the cost of competitors like OpenAI o1.
Find technical answers about DeepSeek R1 API integration, pricing advantages, and reasoning capabilities on the GPTProto platform.
Guides, comparisons, and updates related to this model.
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