+
+
+
+
+
+
+
+
VS
VS
VS
VS
VS
VS
DeepSeek-V3.2-Exp vs Nemotron Nano 9B v2
Comprehensive side-by-side LLM comparison
DeepSeek-V3.2-Exp leads with 12.0% higher average benchmark score. DeepSeek-V3.2-Exp is available on 2 providers. Overall, DeepSeek-V3.2-Exp is the stronger choice for coding tasks.
+
+
+
+
DeepSeek
DeepSeek-V3.2-Exp was introduced as an experimental release, designed to test new architectural innovations and training methodologies. Built to explore the boundaries of mixture-of-experts design, it serves as a research preview for techniques that may be incorporated into future stable releases.
+
+
+
+
NVIDIA
Nemotron Nano 9B v2 is a language model developed by NVIDIA. It achieves strong performance with an average score of 77.0% across 6 benchmarks. It excels particularly in MATH-500 (97.8%), IFEval (90.3%), AIME 2025 (72.1%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents NVIDIA's latest advancement in AI technology.
1 month newer
Nemotron Nano 9B v2
NVIDIA
2025-08-18
DeepSeek-V3.2-Exp
DeepSeek
2025-09-29
+
+
+
+
+
+
+
+
+
+
+
+
Performance Metrics
Context window and performance specifications
Average performance across 3 common benchmarks
+
+
+
+
DeepSeek-V3.2-Exp
Average Score:81.1%(+12.0%)
+
+
+
+
Nemotron Nano 9B v2
Average Score:69.1%
+
+
+
+
Knowledge Cutoff
Training data recency comparison
Nemotron Nano 9B v2
2024-09
More recent knowledge cutoff means awareness of newer technologies and frameworks
Provider Availability & Performance
Available providers and their performance metrics
+
+
+
+
DeepSeek-V3.2-Exp
2 providers
Novita
ZeroEval
Throughput: 100 tok/s
Latency: 0.7ms
+
+
+
+
Nemotron Nano 9B v2
+
+
+
+
DeepSeek-V3.2-Exp
Avg Score:81.1%(+12.0%)
Providers:2
+
+
+
+
Nemotron Nano 9B v2
Avg Score:69.1%
Providers:0