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.

QwQ-32B

Alibaba

QwQ-32B is a language model developed by Alibaba. It achieves strong performance with an average score of 74.6% across 7 benchmarks. It excels particularly in MATH-500 (90.6%), IFEval (83.9%), AIME 2024 (79.5%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Alibaba's latest advancement in AI technology.

GPT-3.5 Turbo

OpenAI

2023-03-21

QwQ-32B

Alibaba

2025-03-05

1 year newer

Performance Metrics

Context window and performance specifications

GPT-3.5 Turbo

Larger context

Max Context:20.5K

QwQ-32B

Max Context:-

Parameters:32.5B

Average performance across 1 common benchmarks

GPT-3.5 Turbo

Average Score:30.8%

QwQ-32B

+34.4%

Average Score:65.2%

Performance comparison across key benchmark categories

GPT-3.5 Turbo

math

33.1%

code

68.0%

general

56.9%

QwQ-32B

math

+57.5%

90.6%

code

+5.6%

73.6%

general

+13.4%

70.4%

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

QwQ-32B

2024-11-28

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

QwQ-32B

0 providers

GPT-3.5 Turbo

Avg Score:30.8%

Providers:2

QwQ-32B

+34.4%

Avg Score:65.2%

Providers:0