DeepSeek-R1-0528 vs Nemotron Nano 9B v2
DeepSeek-R1-0528 and Nemotron Nano 9B v2 are closely matched at 24.1 and 18.4 on the LLM Stats Score.
DeepSeek · NVIDIA · Updated for 2026
Which is better?
DeepSeek-R1-0528 and Nemotron Nano 9B v2 are closely matched on the overall LLM Stats Score at 24.1 and 18.4.
In the 3 individual benchmarks reported for both models, DeepSeek-R1-0528 wins 3; this is a narrower head-to-head signal than the composite indexes.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose DeepSeek-R1-0528
- you value its reported benchmark strengths — it wins 3 of 3 exact shared results
Choose Nemotron Nano 9B v2
- your work emphasizes coding — it leads those capability indexes
- you want the most recent training data — it shipped Aug 2025
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
16 reported for DeepSeek-R1-0528 · 6 for Nemotron Nano 9B v2
DeepSeek-R1-0528 outperforms in 3 benchmarks (AIME 2025, GPQA, LiveCodeBench), while Nemotron Nano 9B v2 is better at 0 benchmarks.
DeepSeek-R1-0528 significantly outperforms across most benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Model Size
Parameter count comparison
DeepSeek-R1-0528 has 662.1B more parameters than Nemotron Nano 9B v2, making it 7439.3% larger.
Context Window
Maximum input and output token capacity
Only DeepSeek-R1-0528 specifies input context (163,840 tokens). Only DeepSeek-R1-0528 specifies output context (163,840 tokens).
License
Usage and distribution terms
DeepSeek-R1-0528 is licensed under MIT, while Nemotron Nano 9B v2 uses NVIDIA Open Model License Agreement .
License differences may affect how you can use these models in commercial or open-source projects.
MIT
Open weights
NVIDIA Open Model License Agreement
Open weights
Release Timeline
When each model was launched
DeepSeek-R1-0528 was released on 2025-05-28, while Nemotron Nano 9B v2 was released on 2025-08-18.
Nemotron Nano 9B v2 is 3 months newer than DeepSeek-R1-0528.
May 28, 2025
1.3 years ago
Aug 18, 2025
1.1 years ago
2mo newerKnowledge Cutoff
When training data ends
Nemotron Nano 9B v2 has a documented knowledge cutoff of 2024-09-01, while DeepSeek-R1-0528's cutoff date is not specified.
We can confirm Nemotron Nano 9B v2's training data extends to 2024-09-01, but cannot make a direct comparison without DeepSeek-R1-0528's cutoff date.
—
Sep 2024
Outputs Comparison
Judge for yourself.
Run your own prompts against DeepSeek-R1-0528 and Nemotron Nano 9B v2 side-by-side, then vote on the output you prefer.
FAQ
Common questions about DeepSeek-R1-0528 vs Nemotron Nano 9B v2.