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.

Qwen2.5 VL 72B Instruct

Alibaba

Qwen2.5 VL 72B Instruct is a multimodal language model developed by Alibaba. It achieves strong performance with an average score of 66.9% across 30 benchmarks. It excels particularly in DocVQA (96.4%), Android Control Low_EM (93.7%), ChartQA (89.5%). As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2025, it represents Alibaba's latest advancement in AI technology.

GPT-3.5 Turbo

OpenAI

2023-03-21

Qwen2.5 VL 72B Instruct

Alibaba

2025-01-26

1 year newer

Performance Metrics

Context window and performance specifications

GPT-3.5 Turbo

Larger context

Max Context:20.5K

Qwen2.5 VL 72B Instruct

Max Context:-

Parameters:72.0B

Average performance across 1 common benchmarks

GPT-3.5 Turbo

Average Score:0.0%

Qwen2.5 VL 72B Instruct

+70.2%

Average Score:70.2%

Performance comparison across key benchmark categories

GPT-3.5 Turbo

general

56.9%

math

33.1%

Qwen2.5 VL 72B Instruct

general

+12.7%

69.6%

math

+23.3%

56.5%

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

Qwen2.5 VL 72B Instruct

0 providers

GPT-3.5 Turbo

Avg Score:0.0%

Providers:2

Qwen2.5 VL 72B Instruct

+70.2%

Avg Score:70.2%

Providers:0