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-Omni-7B

Alibaba

Qwen2.5-Omni-7B is a multimodal language model developed by Alibaba. The model shows competitive results across 45 benchmarks. It excels particularly in DocVQA (95.2%), VocalSound (93.9%), GSM8k (88.7%). The model shows particular specialization in code tasks with an average performance of 76.0%. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. 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

Qwen2.5-Omni-7B

Alibaba

2025-03-27

6 months newer

Performance Metrics

Context window and performance specifications

Alibaba

Qwen2.5 72B Instruct

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

Qwen2.5-Omni-7B

Max Context:-
Parameters:7.0B

Average performance across 9 common benchmarks

Alibaba

Qwen2.5 72B Instruct

+14.6%
Average Score:76.4%
Alibaba

Qwen2.5-Omni-7B

Average Score:61.8%

Performance comparison across key benchmark categories

Alibaba

Qwen2.5 72B Instruct

math
+26.2%
89.5%
code
+2.7%
78.6%
general
+15.5%
74.1%
roleplay
+55.1%
72.9%
Alibaba

Qwen2.5-Omni-7B

math
63.3%
code
76.0%
general
58.7%
roleplay
17.8%
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-Omni-7B

0 providers
Alibaba

Qwen2.5 72B Instruct

+14.6%
Avg Score:76.4%
Providers:4
Alibaba

Qwen2.5-Omni-7B

Avg Score:61.8%
Providers:0