Nex AGI: DeepSeek V3.1 Nex N1
Analysis Summary
Nex AGI's DeepSeek V3.1 Nex N1 build shows an unusual profile: its overall intelligence index is modest, but underlying knowledge and coding scores such as MMLU-Pro and LiveCodeBench are stronger, alongside respectable agentic and terminal-task results.
That combination suggests real utility for structured knowledge tasks and light coding work, though the inconsistency across benchmarks warrants direct testing before relying on it for critical workflows. Tool use and function calling are supported, but context is capped at 131K tokens.
Pricing is very low at $0.135 input and $0.50 output per million tokens, making it worth piloting for cost-sensitive automation where DeepSeek-family performance has proven capable.
Assessed July 25, 2026
Editorial notes
This DeepSeek V3.1 derivative from Nex AGI shows strong knowledge benchmarks and decent coding scores at a very low price, despite a modest overall intelligence index.
Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?
DFO Verdict
This DeepSeek V3.1 derivative from Nex AGI shows strong knowledge benchmarks and decent coding scores at a very low price, despite a modest overall intelligence index.
Benchmark scores
Magenta = intelligence · Ink = technical/agentic · Cyan = content & long-context · Grey = community benchmarks. Data: Artificial Analysis, Hugging Face.
21 Intelligence Index·49.7 Math Index
How Nex AGI: DeepSeek V3.1 Nex N1 compares
Nex AGI: DeepSeek V3.1 Nex N1 ranks #145 of 401 AI models we track for overall intelligence. Its 131K-token context window is larger than 51% of the models we list. At $0.14 per million input tokens it is cheaper than 62% 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.
Strongest on value. The pulled-in intelligence corner is the trade-off, and if the shape matters more than the price, this is your model.
Compare shapes side-by-side →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?
Pick the job that looks most like yours, then fine-tune with the sliders. Estimates update live.
A website chatbot handling around 100 customer conversations a day, a few short messages each.
Full calculator with 688 models → Price Calculator
These numbers get smaller with the right architecture.
We route routine calls to cheap models and save Nex AGI: DeepSeek V3.1 Nex N1 for the hard ones. Most clients cut their estimate by 60-80%.
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..
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.
