Model Comparison

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

Alibaba

Qwen2.5 72B Instruct

Alibaba

Qwen2.5 72B Instruct is a language model developed by Alibaba. It achieves strong performance with an average score of 77.4% across 14 benchmarks. It excels particularly in GSM8k (95.8%), MT-Bench (93.5%), MBPP (88.2%). The model shows particular specialization in math tasks with an average performance of 89.5%. It supports a 139K token context window for handling large documents. The model is available through 4 API providers. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Alibaba's latest advancement in AI technology.

Alibaba

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.

Alibaba

Qwen2.5 72B Instruct

Alibaba

2024-09-19

Alibaba

QwQ-32B

Alibaba

2025-03-05

5 months newer

Performance Metrics

Context window and performance specifications

Alibaba

Qwen2.5 72B Instruct

Larger context
Max Context:139.3K
Parameters:72.7B
Alibaba

QwQ-32B

Max Context:-
Parameters:32.5B

Average performance across 4 common benchmarks

Alibaba

Qwen2.5 72B Instruct

Average Score:60.2%
Alibaba

QwQ-32B

+11.2%
Average Score:71.4%

Performance comparison across key benchmark categories

Alibaba

Qwen2.5 72B Instruct

math
89.5%
code
+5.0%
78.6%
general
+3.8%
74.1%
roleplay
72.9%
Alibaba

QwQ-32B

math
+1.2%
90.6%
code
73.6%
general
70.4%
roleplay
+0.2%
73.1%
Benchmark Scores - Detailed View
Side-by-side comparison of all benchmark scores
Knowledge Cutoff
Training data recency comparison

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

Alibaba

Qwen2.5 72B Instruct

4 providers

Together

Throughput: 47 tok/s
Latency: 0.5ms

Hyperbolic

Throughput: 100 tok/s
Latency: 0.5ms

DeepInfra

Throughput: 10 tok/s
Latency: 0.5ms

Fireworks

Throughput: 59 tok/s
Latency: 0.37ms
Alibaba

QwQ-32B

0 providers
Alibaba

Qwen2.5 72B Instruct

Avg Score:60.2%
Providers:4
Alibaba

QwQ-32B

+11.2%
Avg Score:71.4%
Providers:0