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.

QvQ-72B-Preview

Alibaba

QvQ-72B-Preview is a multimodal language model developed by Alibaba. The model shows competitive results across 4 benchmarks. Notable strengths include MathVista (71.4%), MMMU (70.3%), MathVision (35.9%). As a multimodal model, it can process and understand text, images, and other input formats seamlessly. 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

QvQ-72B-Preview

Alibaba

2024-12-25

1 year newer

Performance Metrics

Context window and performance specifications

GPT-3.5 Turbo

Larger context

Max Context:20.5K

QvQ-72B-Preview

Max Context:-

Parameters:73.4B

Average performance across 2 common benchmarks

GPT-3.5 Turbo

Average Score:0.0%

QvQ-72B-Preview

+70.8%

Average Score:70.8%

Performance comparison across key benchmark categories

GPT-3.5 Turbo

general

+36.5%

56.9%

math

33.1%

QvQ-72B-Preview

general

20.4%

math

+20.5%

53.6%

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

QvQ-72B-Preview

0 providers

GPT-3.5 Turbo

Avg Score:0.0%

Providers:2

QvQ-72B-Preview

+70.8%

Avg Score:70.8%

Providers:0