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DeepSeek R1 Distill Qwen 32B vs Nemotron Nano 9B v2
Comprehensive side-by-side LLM comparison
Nemotron Nano 9B v2 leads with 6.4% higher average benchmark score. Overall, Nemotron Nano 9B v2 is the stronger choice for coding tasks.
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DeepSeek
DeepSeek-R1-Distill-Qwen-32B was created as a larger distilled variant, designed to transfer more of DeepSeek-R1's reasoning capabilities into a Qwen-based foundation. Built to serve applications requiring enhanced analytical depth, it represents a powerful option in the distilled reasoning model family.
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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.
7 months newer
DeepSeek R1 Distill Qwen 32B
DeepSeek
2025-01-20
Nemotron Nano 9B v2
NVIDIA
2025-08-18
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Performance Metrics
Context window and performance specifications
Average performance across 3 common benchmarks
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DeepSeek R1 Distill Qwen 32B
Average Score:71.2%
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Nemotron Nano 9B v2
Average Score:77.6%(+6.4%)
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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
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DeepSeek R1 Distill Qwen 32B
1 providers
DeepInfra
Throughput: 37 tok/s
Latency: 0.65ms
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Nemotron Nano 9B v2
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DeepSeek R1 Distill Qwen 32B
Avg Score:71.2%
Providers:1
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Nemotron Nano 9B v2
Avg Score:77.6%(+6.4%)
Providers:0