Model Comparison

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

Alibaba

Qwen2 72B Instruct

Alibaba

Qwen2 72B Instruct is a language model developed by Alibaba. It achieves strong performance with an average score of 73.6% across 17 benchmarks. It excels particularly in GSM8k (91.1%), CMMLU (90.1%), HellaSwag (87.6%). The model shows particular specialization in code tasks with an average performance of 82.3%. Released in 2024, it represents Alibaba's latest advancement in AI technology.

Alibaba

Qwen3 32B

Alibaba

Qwen3 32B is a language model developed by Alibaba. It achieves strong performance with an average score of 75.3% across 9 benchmarks. It excels particularly in CodeForces (95.2%), Arena Hard (93.8%), AIME 2024 (81.4%). The model shows particular specialization in code tasks with an average performance of 80.4%. It supports a 256K token context window for handling large documents. The model is available through 3 API providers. 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 72B Instruct

Alibaba

2024-07-23

Alibaba

Qwen3 32B

Alibaba

2025-04-29

9 months newer

Performance Metrics

Context window and performance specifications

Alibaba

Qwen2 72B Instruct

Max Context:-
Parameters:72.0B
Alibaba

Qwen3 32B

Larger context
Max Context:256.0K
Parameters:32.8B

Performance comparison across key benchmark categories

Alibaba

Qwen2 72B Instruct

code
+1.8%
82.3%
general
67.9%
Alibaba

Qwen3 32B

code
80.4%
general
+5.7%
73.6%

Provider Availability & Performance

Available providers and their performance metrics

Alibaba

Qwen2 72B Instruct

0 providers
Alibaba

Qwen3 32B

3 providers

Sambanova

Throughput: 327.7 tok/s
Latency: 1.08ms

DeepInfra

Throughput: 26.95 tok/s
Latency: 1.19ms

Novita

Throughput: 32.43 tok/s
Latency: 0.93ms
Alibaba

Qwen2 72B Instruct

Avg Score:0.0%
Providers:0
Alibaba

Qwen3 32B

Avg Score:0.0%
Providers:3