DeepSeek V3.1 Nex-N1 is the flagship release of the Nex-N1 series — a post-trained model designed to highlight agent autonomy, tool use, and real-world productivity.
Nex-N1 demonstrates competitive performance across all evaluation scenarios, showing particularly strong results in practical coding and HTML generation tasks.
Modalities
Input Price
$0.135per 1M
Output Price
$0.50per 1M
Context
131K
Weekly Tokens
1.15B
Released
Dec 8, 2025
Create an API key from your OpenRouter dashboard and set it as an environment variable:
Use nex-agi/deepseek-v3.1-nex-n1 with the OpenRouter API:
OpenRouter provides an OpenAI-compatible completion API to 400+ models & providers that you can call directly, or using the OpenAI SDK. Additionally, some third-party SDKs are available.
In the examples below, the OpenRouter-specific headers are optional. Setting them allows your app to appear on the OpenRouter leaderboards.
For information about using third-party SDKs and frameworks with OpenRouter, please see our frameworks documentation.
Add "stream": true to your request body to receive responses as server-sent events:
https://openrouter.ai/api/v1/chat/completionsBearer $OPENROUTER_API_KEYapplication/jsonoptional — your site URL, for rankingsoptional — your site name, for rankingsnex-agi/deepseek-v3.1-nex-n1| Name | Type | Default | Description |
|---|---|---|---|
temperature | float | 1 | This setting influences the variety in the model's responses. |
top_p | float | 1 | This setting limits the model's choices to a percentage of likely tokens: only the top tokens whose probabilities add up to P. |
top_k | integer | 0 | This limits the model's choice of tokens at each step, making it choose from a smaller set. |
frequency_penalty | float | 0 | This setting aims to control the repetition of tokens based on how often they appear in the input. |
response_format | map | — | Forces the model to produce specific output format. |
structured_outputs | boolean | — | If the model can return structured outputs using response_format json_schema. |
tools | array | — | Tool calling parameter, following OpenAI's tool calling request shape. |
tool_choice | string or object | — | Controls which (if any) tool is called by the model. |
max_tokens | integer | — | This sets the upper limit for the number of tokens the model can generate in response. |