+
+
+
+
+
+
+
+
VS
VS
VS
VS
VS
VS
DeepSeek R1 Distill Qwen 1.5B vs Llama 3.1 8B Instruct
Comprehensive side-by-side LLM comparison
DeepSeek R1 Distill Qwen 1.5B leads with 3.4% higher average benchmark score. Llama 3.1 8B Instruct is available on 9 providers. Both models have their strengths depending on your specific coding needs.
+
+
+
+
DeepSeek
DeepSeek-R1-Distill-Qwen-1.5B was created through distillation into an ultra-compact Qwen architecture, designed to enable reasoning capabilities on resource-constrained devices. Built with just 1.5 billion parameters, it brings advanced analytical techniques to edge computing and mobile scenarios.
+
+
+
+
Meta
Llama 3.1 8B was developed as an efficient open-source model, designed to bring capable instruction-following to applications with limited computational resources. Built with 8 billion parameters, it provides a lightweight option for developers seeking reliable performance without the overhead of larger models.
6 months newer
Llama 3.1 8B Instruct
Meta
2024-07-23
DeepSeek R1 Distill Qwen 1.5B
DeepSeek
2025-01-20
+
+
+
+
+
+
+
+
+
+
+
+
Performance Metrics
Context window and performance specifications
Average performance across 1 common benchmarks
+
+
+
+
DeepSeek R1 Distill Qwen 1.5B
Average Score:33.8%(+3.4%)
+
+
+
+
Llama 3.1 8B Instruct
Average Score:30.4%
+
+
+
+
Knowledge Cutoff
Training data recency comparison
Llama 3.1 8B Instruct
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 1.5B
0 providers
+
+
+
+
Llama 3.1 8B Instruct
9 providers
Bedrock
+
+
+
+
DeepSeek R1 Distill Qwen 1.5B
Avg Score:33.8%(+3.4%)
Providers:0
+
+
+
+
Llama 3.1 8B Instruct
Avg Score:30.4%
Providers:9