+
+
+
+
+
+
+
+
VS
VS
VS
VS
VS
VS
Llama 3.2 3B Instruct vs Qwen2.5-Coder 7B Instruct
Comprehensive side-by-side LLM comparison
Both models show comparable benchmark performance. Both models have their strengths depending on your specific coding needs.
+
+
+
+
Meta
Llama 3.2 3B was created as an ultra-compact open-source model, designed to enable on-device and edge deployment scenarios. Built with just 3 billion parameters while retaining instruction-following abilities, it brings Meta's language technology to mobile devices, IoT applications, and resource-constrained environments.
+
+
+
+
Alibaba Cloud / Qwen Team
Qwen 2.5 Coder 7B was created as an efficient coding-specialized model, designed to bring strong programming capabilities to resource-conscious deployments. Built with 7 billion parameters optimized for code understanding and generation, it provides developers with a lightweight option for code-related tasks.
6 days newer
Qwen2.5-Coder 7B Instruct
Alibaba Cloud / Qwen Team
2024-09-19
Llama 3.2 3B Instruct
Meta
2024-09-25
+
+
+
+
+
+
+
+
+
+
+
+
Performance Metrics
Context window and performance specifications
Average performance across 5 common benchmarks
+
+
+
+
Llama 3.2 3B Instruct
Average Score:67.5%(+0.3%)
+
+
+
+
Qwen2.5-Coder 7B Instruct
Average Score:67.2%
Provider Availability & Performance
Available providers and their performance metrics
+
+
+
+
Llama 3.2 3B Instruct
1 providers
DeepInfra
Throughput: 171.5 tok/s
Latency: 0.24ms
+
+
+
+
Qwen2.5-Coder 7B Instruct
+
+
+
+
Llama 3.2 3B Instruct
Avg Score:67.5%(+0.3%)
Providers:1
+
+
+
+
Qwen2.5-Coder 7B Instruct
Avg Score:67.2%
Providers:0