Deep Reasoning & Logic
Native Chain-of-Thought allows the model to self-correct and handle multi-step logic before providing a final answer.
DeepSeek R1
The DeepSeek R1 API delivers frontier-tier reasoning and 128k context. Built on MoE architecture, it excels at complex math and coding while remaining 20x cheaper than comparable proprietary models like o1 for developers on GPTProto.com.
Esempi di utilizzo dell’API
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"
}
]
}'Prezzi DeepSeek R1
Chat, agenti di coding e lavoro sui documenti. Prezzi per 1M di token: input, input memorizzato nella cache e output vengono fatturati separatamente. GPTProto costa il 40% in meno rispetto alle tariffe ufficiali.
| Scenario | Listino ufficiale DeepSeek | OpenRouter | GPTProto | Risparmi al mese |
|---|---|---|---|---|
| Personale10M token/mese | $8.78 | $9.26 | $5.27 | −$3.51≈ $42.14 / anno |
| Team100M token/mese | $87.78 | $92.61 | $52.67 | −$35.11≈ $421.37 / anno |
| Aziendale500M token/mese | $438.92 | $463.06 | $263.35 | −$175.57≈ $2106.84 / anno |
Risparmia $0.00 / mese
Risparmio annuale ≈ $0.00 · pagamento a consumo
Modelli correlati
Tutti i modelli
DeepSeek R1Attuale
DeepSeek · 64K context · $0.33/M input · $1.3135/M output
Bytedance · 262K context · $0.0971/M input · $0.9714/M output
Bytedance · 262K context · $0.0971/M input · $0.9714/M output
Modello
Prezzo: GPTProto
vs ufficiale
vs OpenRouter
Contesto
Stabilità
DeepSeek R1Attuale
DeepSeek
$0.33 / $1.31per 1M di token
-40%
-43%
64K
DeepSeek R1 API Core Features
The DeepSeek R1 API brings frontier reasoning to your application with specific optimizations for technical and logical excellence.
Elite Mathematical Prowess
R1 achieves a 97.3% score on MATH-500, making it an industry leader for symbolic logic and academic research applications.
Advanced Coding Capabilities
With 90.6% on HumanEval, the API handles complex algorithm design and deep code audits comparable to the best proprietary models.
Unmatched Cost Efficiency
Built on MoE architecture, R1 delivers frontier intelligence at 1/20th the cost of competitors like OpenAI o1.
DeepSeek R1 API Frequently Asked Questions
Find technical answers about DeepSeek R1 API integration, pricing advantages, and reasoning capabilities on the GPTProto platform.
How does DeepSeek R1 API differ from OpenAI o1?
While performance is comparable in math and logic, the DeepSeek R1 API is significantly more affordable—roughly 20x cheaper for inputs and 27x for outputs. Unlike o1, R1 is an open-weights model, offering more transparency in its reasoning process through a native Chain-of-Thought approach. Developers using GPTProto benefit from this elite intelligence at a fraction of the cost, making complex agentic tasks sustainable at scale.
Can I view the reasoning tokens via the API?
Yes. The DeepSeek R1 API returns a specific field called reasoning_content. This allows developers to see the internal "thinking" path the model took before reaching a final answer. On GPTProto, we support streaming these reasoning tokens, which is ideal for building interactive applications where users can see the model's logic unfold in real-time. This visibility helps in debugging and improves overall user trust in the AI's output.
Is the DeepSeek R1 API suitable for low-latency tasks?
Because R1 generates "thinking" tokens to ensure accuracy in complex logic, it has a higher Time To First Token (TTFT) than simpler models like GPT-4o-mini. It is not recommended for ultra-fast UI micro-copy or basic sentiment analysis. However, for deep reasoning, coding audits, or mathematical proofs, the extra seconds spent in the reasoning phase are essential for the high-quality, verified answers that the R1 API provides.
What are the recommended API parameters for R1?
For optimal results with the DeepSeek R1 API, we recommend a temperature between 0.5 and 0.7 (0.6 is the sweet spot). Set top_p to 0.95 and ensure max_tokens is around 8192 to give the reasoning chain enough room to complete. Avoid high presence penalties as they can disrupt the logical flow. Using these settings on GPTProto ensures the model maintains a balance between creative problem-solving and strict adherence to technical logic.
Is data sent via GPTProto used to train DeepSeek R1?
No. Privacy is a core pillar of GPTProto. Any requests made to the DeepSeek R1 API through our platform are protected by our Enterprise Privacy Policy. Your data is not used for model training by us or DeepSeek-AI. This makes the R1 API a safe choice for corporate research, legal summarization, and proprietary code auditing where data confidentiality is a non-negotiable requirement for development teams and stakeholders.
How do I migrate my existing app to DeepSeek R1 API?
The DeepSeek R1 API is 95% compatible with the OpenAI SDK. To migrate, simply update your base URL and API key in your configuration. You should also ensure your application handles the reasoning_content field if you want to display the thinking process. Adjusting your temperature to 0.6 is recommended. With GPTProto, the transition is seamless, allowing you to upgrade your model's reasoning capabilities in just a few minutes.
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