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

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

Qwen2.5 72B Instruct

Alibaba

2024-09-19

Alibaba

Qwen3 32B

Alibaba

2025-04-29

7 months newer

Pricing Comparison

Cost per million tokens (USD)

Alibaba

Qwen2.5 72B Instruct

Input:$0.35
Output:$0.40
Alibaba

Qwen3 32B

$0.35 cheaper
Input:$0.10
Output:$0.30

Performance Metrics

Context window and performance specifications

Alibaba

Qwen2.5 72B Instruct

Max Context:139.3K
Parameters:72.7B
Alibaba

Qwen3 32B

Larger context
Max Context:256.0K
Parameters:32.8B

Average performance across 3 common benchmarks

Alibaba

Qwen2.5 72B Instruct

Average Score:63.0%
Alibaba

Qwen3 32B

+15.1%
Average Score:78.1%

Performance comparison across key benchmark categories

Alibaba

Qwen2.5 72B Instruct

code
78.6%
roleplay
72.9%
general
+0.5%
74.1%
Alibaba

Qwen3 32B

code
+1.8%
80.4%
roleplay
+2.0%
74.9%
general
73.6%
Benchmark Scores - Detailed View
Side-by-side comparison of all benchmark scores

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

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

Qwen2.5 72B Instruct

Avg Score:63.0%
Providers:4
Alibaba

Qwen3 32B

+15.1%
Avg Score:78.1%
Providers:3