Model Comparison

Comprehensive side-by-side analysis of model capabilities and performance

Phi-3.5-mini-instruct

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.

Qwen2 7B Instruct

Alibaba

Qwen2 7B Instruct is a language model developed by Alibaba. 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's latest advancement in AI technology.

Qwen2 7B Instruct

Alibaba

2024-07-23

Phi-3.5-mini-instruct

Microsoft

2024-08-23

1 month newer

Performance Metrics

Context window and performance specifications

Phi-3.5-mini-instruct

Larger context

Max Context:256.0K

Parameters:3.8B

Qwen2 7B Instruct

Max Context:-

Parameters:7.6B

Average performance across 7 common benchmarks

Phi-3.5-mini-instruct

Average Score:59.1%

Qwen2 7B Instruct

+0.7%

Average Score:59.8%

Performance comparison across key benchmark categories

Phi-3.5-mini-instruct

code

+2.0%

66.2%

math

60.9%

general

+6.0%

55.4%

Qwen2 7B Instruct

code

64.2%

math

+5.1%

66.0%

general

49.4%

Benchmark Scores - Detailed View

Side-by-side comparison of all benchmark scores

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

0 providers

Phi-3.5-mini-instruct

Avg Score:59.1%

Providers:1

Qwen2 7B Instruct

+0.7%

Avg Score:59.8%

Providers:0