+
+
+
+
+
+
+
+
VS
VS
VS
VS
VS
VS
Llama 3.2 3B Instruct vs Qwen2 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 Instruct is a language model developed by Meta. The model shows competitive results across 15 benchmarks. It excels particularly in NIH/Multi-needle (84.7%), ARC-C (78.6%), GSM8k (77.7%). It supports a 256K token context window for handling large documents. The model is available through 1 API provider. Released in 2024, it represents Meta's latest advancement in AI technology.
+
+
+
+
Alibaba Cloud / Qwen Team
Qwen2 7B Instruct is a language model developed by Alibaba Cloud / Qwen Team. The model shows competitive results across 14 benchmarks. It excels particularly in MT-Bench (84.1%), GSM8k (82.3%), HumanEval (79.9%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Alibaba Cloud / Qwen Team's latest advancement in AI technology.
2 months newer
Qwen2 7B Instruct
Alibaba Cloud / Qwen Team
2024-07-23
Llama 3.2 3B Instruct
Meta
2024-09-25
Performance Metrics
Context window and performance specifications
Average performance across 25 common benchmarks
+
+
+
+
Llama 3.2 3B Instruct
Average Score:33.4%(+0.0%)
+
+
+
+
Qwen2 7B Instruct
Average Score:33.3%
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 7B Instruct
+
+
+
+
Llama 3.2 3B Instruct
Avg Score:33.4%(+0.0%)
Providers:1
+
+
+
+
Qwen2 7B Instruct
Avg Score:33.3%
Providers:0