+
+
+
+
+
+
+
+
VS
VS
VS
VS
VS
VS
Phi-3.5-mini-instruct vs Qwen2 7B Instruct
Comprehensive side-by-side LLM comparison
Phi-3.5-mini-instruct leads with 26.0% higher average benchmark score. Overall, Phi-3.5-mini-instruct is the stronger choice for coding tasks.
+
+
+
+
Microsoft
Phi-3.5-mini-instruct is a language model developed by Microsoft. The model shows competitive results across 31 benchmarks. It excels particularly in GSM8k (86.2%), ARC-C (84.6%), RULER (84.1%). It supports a 256K token context window for handling large documents. The model is available through 1 API provider. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Microsoft'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.
1 month newer
Qwen2 7B Instruct
Alibaba Cloud / Qwen Team
2024-07-23
Phi-3.5-mini-instruct
Microsoft
2024-08-23
Performance Metrics
Context window and performance specifications
Average performance across 38 common benchmarks
+
+
+
+
Phi-3.5-mini-instruct
Average Score:47.9%(+26.0%)
+
+
+
+
Qwen2 7B Instruct
Average Score:21.9%
Provider Availability & Performance
Available providers and their performance metrics
+
+
+
+
Phi-3.5-mini-instruct
1 providers
Azure
Throughput: 23 tok/s
Latency: 0.52ms
+
+
+
+
Qwen2 7B Instruct
+
+
+
+
Phi-3.5-mini-instruct
Avg Score:47.9%(+26.0%)
Providers:1
+
+
+
+
Qwen2 7B Instruct
Avg Score:21.9%
Providers:0