Nex AGI: DeepSeek V3.1 Nex N1
Nex AGI's DeepSeek V3.1 Nex N1 shows limited performance across reasoning, coding, and agentic benchmarks, placing it in the lower tier for business applications. Pricing is moderate but the capability profile does not stand out competitively.
Assessment date: March 12, 2026
Our methodology takes into account a range of factors including pricing, functionality, capabilities, benchmark performance, and real-world applicability. Rankings are reviewed and updated regularly as new models are released. Issues with our rankings? Contact us
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.
Capabilities
Architecture
| Modality | Text → Text |
| Tokenizer | DeepSeek |
Performance Indices
Source: Artificial Analysis
Benchmark Scores
Evaluations
Benchmark data from Artificial Analysis and Hugging Face
Model Information
Pricing
| Token Type | Cost per 1M tokens | Cost per 1K tokens |
|---|---|---|
| Input | $0.27 | $0.000270 |
| Output | $1.00 | $0.001000 |
Live Performance
Live endpoint metrics — refreshed every 30 minutes.
