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

Qwen2.5-Coder 32B Instruct

Alibaba

Qwen2.5-Coder 32B Instruct is a language model developed by Alibaba. It achieves strong performance with an average score of 64.9% across 15 benchmarks. It excels particularly in HumanEval (92.7%), GSM8k (91.1%), MBPP (90.2%). The model shows particular specialization in reasoning tasks with an average performance of 78.1%. It supports a 256K 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

Qwen2.5 72B Instruct

Alibaba

2024-09-19

Alibaba

Qwen2.5-Coder 32B Instruct

Alibaba

2024-09-19

0 days newer

Pricing Comparison

Cost per million tokens (USD)

Alibaba

Qwen2.5 72B Instruct

Input:$0.35
Output:$0.40
Alibaba

Qwen2.5-Coder 32B Instruct

$0.57 cheaper
Input:$0.09
Output:$0.09

Performance Metrics

Context window and performance specifications

Alibaba

Qwen2.5 72B Instruct

Max Context:139.3K
Parameters:72.7B
Alibaba

Qwen2.5-Coder 32B Instruct

Larger context
Max Context:256.0K
Parameters:32.0B

Average performance across 7 common benchmarks

Alibaba

Qwen2.5 72B Instruct

+10.9%
Average Score:81.0%
Alibaba

Qwen2.5-Coder 32B Instruct

Average Score:70.1%

Performance comparison across key benchmark categories

Alibaba

Qwen2.5 72B Instruct

math
+15.3%
89.5%
code
+20.4%
78.6%
general
+12.6%
74.1%
Alibaba

Qwen2.5-Coder 32B Instruct

math
74.2%
code
58.2%
general
61.5%
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

Qwen2.5-Coder 32B Instruct

4 providers

Hyperbolic

Throughput: 100 tok/s
Latency: 0.5ms

DeepInfra

Throughput: 44 tok/s
Latency: 0.5ms

Fireworks

Throughput: 110 tok/s
Latency: 0.26ms

Lambda

Throughput: 42 tok/s
Latency: 0.5ms
Alibaba

Qwen2.5 72B Instruct

+10.9%
Avg Score:81.0%
Providers:4
Alibaba

Qwen2.5-Coder 32B Instruct

Avg Score:70.1%
Providers:4