Analysis Summary
Nex AGI's DeepSeek V3.1 Nex N1 is a text model with a 131K context window, tool use, and function calling. Its supplied results include an intelligence index of 21.4, a math index of 49.7, and comparatively strong GPQA and MMLU Pro results. Coding-related test results and long-context data are also present, although no coding index is provided.
This profile makes it a candidate for cost-conscious analytical workflows, structured problem solving, and tool-connected tasks that do not require image input. Its measured intelligence remains well below leading models, and businesses should validate instruction following and tool reliability on real tasks. It is not a suitable default for high-stakes work without a review process.
At $0.135 per million input tokens and $0.50 per million output tokens, it offers a low-cost route to tested reasoning capability. Pilot it on bounded work before expanding usage.
Assessed September 23, 2026
Editorial notes
DeepSeek V3.1 Nex N1 has strong results on the listed math, GPQA, and MMLU Pro tests, plus tool support and low pricing; it lacks image input and its overall intelligence index remains limited.
The DFO score ranks models on the Artificial Analysis Intelligence Index and is refreshed as new models launch. The write-up and verdict are our own. Feedback?
DFO Verdict
DeepSeek V3.1 Nex N1 has strong results on the listed math, GPQA, and MMLU Pro tests, plus tool support and low pricing; it lacks image input and its overall intelligence index remains limited.
Benchmarks
Artificial Analysis data refreshed Oct 18, 2026. Arena ratings from the Oct 13, 2026 text leaderboard, with style control. Bars: magenta = reasoning, ink = coding and agents, cyan = instructions and long context.
Artificial Analysis has not published coding or agentic results for Nex AGI: DeepSeek V3.1 Nex N1 yet. Until it does, the model sits below tested models on the Coding and AI Agents lists.
Artificial Analysis no longer lists this model, so its indexes are converted from their older scale to stay comparable.
How Nex AGI: DeepSeek V3.1 Nex N1 compares
Nex AGI: DeepSeek V3.1 Nex N1 ranks #150 of 439 AI models we track for overall intelligence. Its 131K-token context window is larger than 50% of the models we list. At $0.14 per million input tokens it is cheaper than 58% of comparable models.
Dark bar = input · light bar = output, scaled to the priciest peer.
1M tokens ≈ 8 full-length novels or ~2,500 pages of business documents in a single request.
Pricing
| Token Type | Cost per 1M tokens | Cost per 1K tokens |
|---|---|---|
| Input | $0.14 | $0.000135 |
| Output | $0.50 | $0.000500 |
What would Nex AGI: DeepSeek V3.1 Nex N1 cost your business?
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Talk to our teamAbout Nex AGI: DeepSeek V3.1 Nex N1
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..
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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).
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.
Benchmarks from Artificial Analysis, pricing from the OpenRouter API, and verdicts from our own testing.
Last updated: October 18, 2026 8:38 pm