适用场景
- Chinese reasoning
- math
- analysis
- code explanation
OpenAI 兼容代码示例
保持 OpenAI SDK 调用方式不变，把 base_url 改为 NextModel，并使用模型目录 ID 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)相似替代项
DeepSeekCatalog
DeepSeek V4 Flash is a long-context low-cost candidate for teams that need Chinese capability and batch-friendly pricing.
Best forlow-cost Chinese tasks, long-context summary, batch code assistance
Routingconfigured
Tool callingJSON modeLong contextReasoning
OpenRouter if availableOpenRouter public Models API when available; curated fallback otherwise
Alibaba Cloud / QwenCatalog
Qwen3 Max is a general high-capability Chinese model candidate for teams comparing domestic and global provider options.
Best forChinese agent workflows, business analysis, structured output
Routingconfigured
Tool callingJSON modeLong contextReasoning
OpenRouter if availableOpenRouter public Models API when available; curated fallback otherwise
AnthropicCatalog
Claude Sonnet 4.5 is a high-quality option for code, agent workflows, long-context analysis, and complex instruction following.
Best forcoding agents, code review, complex writing
Routingconfigured
Tool callingJSON modeLong contextReasoning
OpenRouter if availableOpenRouter public Models API when available; curated fallback otherwise
FAQ
DeepSeek: R1 API 常见问题
What is DeepSeek R1 best for?
It is best compared for Chinese reasoning, math-heavy prompts, and workloads that need reasoning at controlled cost.