+
+
+
+
+
+
+
+
VS
VS
VS
VS
VS
VS
DeepSeek R1 Distill Qwen 32B vs Llama-3.3 Nemotron Super 49B v1
Comprehensive side-by-side LLM comparison
Llama-3.3 Nemotron Super 49B v1 leads with 3.4% higher average benchmark score. Both models have their strengths depending on your specific coding needs.
+
+
+
+
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.
+
+
+
+
NVIDIA
Llama 3.3 Nemotron Super 49B was created through NVIDIA's optimization of Llama 3.3, designed to provide a balanced option with 49 billion parameters. Built to serve as a versatile mid-to-large-scale offering, it combines NVIDIA's customization expertise with Meta's foundation architecture.
1 month newer
DeepSeek R1 Distill Qwen 32B
DeepSeek
2025-01-20
Llama-3.3 Nemotron Super 49B v1
NVIDIA
2025-03-18
+
+
+
+
+
+
+
+
+
+
+
+
Performance Metrics
Context window and performance specifications
Average performance across 2 common benchmarks
+
+
+
+
DeepSeek R1 Distill Qwen 32B
Average Score:78.2%
+
+
+
+
Llama-3.3 Nemotron Super 49B v1
Average Score:81.6%(+3.4%)
+
+
+
+
Knowledge Cutoff
Training data recency comparison
Llama-3.3 Nemotron Super 49B v1
2023-12-31
More recent knowledge cutoff means awareness of newer technologies and frameworks
Provider Availability & Performance
Available providers and their performance metrics
+
+
+
+
DeepSeek R1 Distill Qwen 32B
1 providers
DeepInfra
Throughput: 37 tok/s
Latency: 0.65ms
+
+
+
+
Llama-3.3 Nemotron Super 49B v1
+
+
+
+
DeepSeek R1 Distill Qwen 32B
Avg Score:78.2%
Providers:1
+
+
+
+
Llama-3.3 Nemotron Super 49B v1
Avg Score:81.6%(+3.4%)
Providers:0