Model Comparison

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

GPT-3.5 Turbo

OpenAI

GPT-3.5 Turbo is a language model developed by OpenAI. The model shows competitive results across 8 benchmarks. Notable strengths include DROP (70.2%), MMLU (69.8%), HumanEval (68.0%). The model is available through 2 API providers.

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.

GPT-3.5 Turbo

OpenAI

2023-03-21

Qwen2 7B Instruct

Alibaba

2024-07-23

1 year newer

Performance Metrics

Context window and performance specifications

GPT-3.5 Turbo

Larger context

Max Context:20.5K

Qwen2 7B Instruct

Max Context:-

Parameters:7.6B

Average performance across 4 common benchmarks

GPT-3.5 Turbo

Average Score:52.9%

Qwen2 7B Instruct

+3.4%

Average Score:56.3%

Performance comparison across key benchmark categories

GPT-3.5 Turbo

code

+3.8%

68.0%

math

33.1%

general

+7.5%

56.9%

Qwen2 7B Instruct

code

64.2%

math

+32.8%

66.0%

general

49.4%

Benchmark Scores - Detailed View

Side-by-side comparison of all benchmark scores

Knowledge Cutoff

Training data recency comparison

GPT-3.5 Turbo

2021-09-30

More recent knowledge cutoff means awareness of newer technologies and frameworks

Provider Availability & Performance

Available providers and their performance metrics

GPT-3.5 Turbo

2 providers

Azure

Throughput: 90 tok/s

Latency: 0.8ms

OpenAI

Throughput: 100 tok/s

Latency: 0.5ms

Qwen2 7B Instruct

0 providers

GPT-3.5 Turbo

Avg Score:52.9%

Providers:2

Qwen2 7B Instruct

+3.4%

Avg Score:56.3%

Providers:0