Nex AGI: DeepSeek V3.1 Nex N1
Analysis Summary
Nex AGI DeepSeek V3.1 Nex N1 is a fine-tuned variant of the DeepSeek V3.1 base, offering tool use and function calling alongside solid reasoning, coding, and instruction-following scores. Pricing is competitive at $0.135 input and $0.50 output per million tokens, and the 131K context window handles most business document tasks. GPQA and MMLU Pro scores are strong for its intelligence tier.
For businesses, this model suits mid-complexity coding tasks, structured content generation, and tool-use automation pipelines. Agentic performance is moderate, and long-context reasoning is adequate but not exceptional. It is not positioned for the most demanding autonomous agent workflows or tasks requiring frontier reasoning.
At this price, Nex N1 offers reasonable value for teams needing a capable mid-tier model with tool use support. Teams requiring stronger agentic reliability or higher reasoning ceilings should look to the DeepSeek V3.2 family or established flagship models, but for cost-conscious mid-tier workloads it is a practical option.
Assessed June 6, 2026
Editorial notes
Nex AGI DeepSeek V3.1 Nex N1 delivers solid reasoning, coding, and instruction following with tool use and function calling at competitive pricing, suited to mid-tier business automation and content workflows.
Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?
Performance Profile
How Nex AGI: DeepSeek V3.1 Nex N1 compares
Nex AGI: DeepSeek V3.1 Nex N1 ranks #123 of 377 AI models we track for overall intelligence, #97 of 314 for coding, #144 of 289 for agentic tasks. Its 131K-token context window is larger than 59% of the models we list. At $0.14 per million input tokens it is cheaper than 59% of comparable models.
About Nex AGI: DeepSeek V3.1 Nex N1
DeepSeek V3.1 Nex-N1 is the flagship release of the Nex-N1 series ā a post-trained model designed to highlight agent autonomy, tool use, and real-world productivity. Nex-N1 demonstrates competitive performance across..
Capabilities
Performance Indices
Source: Artificial Analysis
Benchmark Scores
Intelligence
Technical
Content
Benchmark data from Artificial Analysis and Hugging Face
How does Nex AGI: DeepSeek V3.1 Nex N1 stack up?
Compare side-by-side with other professional models.
Model Information
| OpenRouter ID |
nex-agi/deepseek-v3.1-nex-n1
|
| Provider | nex-agi |
| Release Date | December 8, 2025 |
| Context Length | 131,072 tokens |
| Max Completion | 163,840 tokens |
| Status | Active |
Pricing
| Token Type | Cost per 1M tokens | Cost per 1K tokens |
|---|---|---|
| Input | $0.14 | $0.000135 |
| Output | $0.50 | $0.000500 |
Leaderboard Categories
External Resources
Frequently asked questions about Nex AGI: DeepSeek V3.1 Nex N1
How much does Nex AGI: DeepSeek V3.1 Nex N1 cost?
Nex AGI: DeepSeek V3.1 Nex N1 costs $0.14 per million input tokens and $0.50 per million output tokens.
What is the context window of Nex AGI: DeepSeek V3.1 Nex N1?
Nex AGI: DeepSeek V3.1 Nex N1 has a context window of 131,072 tokens (131K).
Is Nex AGI: DeepSeek V3.1 Nex N1 good for coding?
On our coding benchmark index, Nex AGI: DeepSeek V3.1 Nex N1 ranks #97 of 314 models, placing it in the broader range of the field for code generation and debugging.
What can Nex AGI: DeepSeek V3.1 Nex N1 do?
Nex AGI: DeepSeek V3.1 Nex N1 supports tool use and function calling.
Who created Nex AGI: DeepSeek V3.1 Nex N1?
Nex AGI: DeepSeek V3.1 Nex N1 is developed by Nex AGI and was released on December 8, 2025.
