Model Comparison

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

Alibaba

Qwen2.5 7B Instruct

Alibaba

Qwen2.5 7B Instruct is a language model developed by Alibaba. It achieves strong performance with an average score of 65.6% across 14 benchmarks. It excels particularly in GSM8k (91.6%), MT-Bench (87.5%), HumanEval (84.8%). The model shows particular specialization in math tasks with an average performance of 83.5%. It supports a 139K token context window for handling large documents. The model is available through 1 API provider. 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 VL 72B Instruct

Alibaba

Qwen2.5 VL 72B Instruct is a multimodal language model developed by Alibaba. It achieves strong performance with an average score of 66.9% across 30 benchmarks. It excels particularly in DocVQA (96.4%), Android Control Low_EM (93.7%), ChartQA (89.5%). As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2025, it represents Alibaba's latest advancement in AI technology.

Alibaba

Qwen2.5 7B Instruct

Alibaba

2024-09-19

Alibaba

Qwen2.5 VL 72B Instruct

Alibaba

2025-01-26

4 months newer

Performance Metrics

Context window and performance specifications

Alibaba

Qwen2.5 7B Instruct

Larger context
Max Context:139.3K
Parameters:7.6B
Alibaba

Qwen2.5 VL 72B Instruct

Max Context:-
Parameters:72.0B

Performance comparison across key benchmark categories

Alibaba

Qwen2.5 7B Instruct

math
+27.1%
83.5%
general
60.6%
Alibaba

Qwen2.5 VL 72B Instruct

math
56.5%
general
+9.0%
69.6%

Provider Availability & Performance

Available providers and their performance metrics

Alibaba

Qwen2.5 7B Instruct

1 providers

Together

Throughput: 138 tok/s
Latency: 0.5ms
Alibaba

Qwen2.5 VL 72B Instruct

0 providers
Alibaba

Qwen2.5 7B Instruct

Avg Score:0.0%
Providers:1
Alibaba

Qwen2.5 VL 72B Instruct

Avg Score:0.0%
Providers:0