DeepSeek model
R1
DeepSeek: R1. Compară prețurile API, furnizorul, lungimea contextului, capabilitățile, use case-urile, latența și alternativele. Chinese reasoning, math, analysis. $0.7 / 1M tokens / $2.50 / 1M tokens. 163.8k tokens.
JSON modeLong contextReasoningStreamingTool calling
Ce este R1 in NextModel?
DeepSeek: R1. Compară prețurile API, furnizorul, lungimea contextului, capabilitățile, use case-urile, latența și alternativele. Chinese reasoning, math, analysis. $0.7 / 1M tokens / $2.50 / 1M tokens. 163.8k tokens.
Cele mai bune cazuri de utilizare
- Chinese reasoning
- math
- analysis
- code explanation
Exemplu compatibil OpenAI
Păstrează stilul SDK OpenAI, trimite base_url către NextModel și folosește ID-ul din catalog deepseek-r1.
Python
from openai import OpenAI
client = OpenAI(
api_key="YOUR_API_KEY",
base_url="https://api.nextmodel.app/v1"
)
resp = client.chat.completions.create(
model="deepseek-r1",
messages=[{"role": "user", "content": "Hello from NextModel"}]
)
print(resp.choices[0].message.content)Alternative similare
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RoutingConfigured
Tool callingJSON modeLong contextReasoning
OpenRouter if availableOpenRouter public Models API live metadata; public price comes from the registry pricing rule
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RoutingConfigured
Tool callingJSON modeLong contextReasoning
OpenRouter if availableOpenRouter public Models API live metadata; public price comes from the registry pricing rule
AnthropicCatalog
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RoutingConfigured
Tool callingJSON modeLong contextReasoning
OpenRouter if availableOpenRouter public Models API live metadata; public price comes from the registry pricing rule
FAQ
DeepSeek: R1 FAQ
What is DeepSeek R1 best for?
It is best compared for Chinese reasoning, math-heavy prompts, and workloads that need reasoning at controlled cost.