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

Qwen2.5 VL 7B Instruct
Alibaba
Qwen2.5 VL 7B Instruct is a multimodal language model developed by Alibaba. It achieves strong performance with an average score of 64.5% across 32 benchmarks. It excels particularly in DocVQA (95.7%), Android Control Low_EM (91.4%), MobileMiniWob++_SR (91.4%). 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.

Qwen3 235B A22B
Alibaba
Qwen3 235B A22B is a language model developed by Alibaba. It achieves strong performance with an average score of 76.2% across 23 benchmarks. It excels particularly in Arena Hard (95.6%), GSM8k (94.4%), BBH (88.9%). The model shows particular specialization in math tasks with an average performance of 83.3%. 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 2025, it represents Alibaba's latest advancement in AI technology.

Qwen2.5 VL 7B Instruct
Alibaba
2025-01-26

Qwen3 235B A22B
Alibaba
2025-04-29
3 months newer
Performance Metrics
Context window and performance specifications

Qwen2.5 VL 7B Instruct

Qwen3 235B A22B
Performance comparison across key benchmark categories

Qwen2.5 VL 7B Instruct

Qwen3 235B A22B
Provider Availability & Performance
Available providers and their performance metrics

Qwen2.5 VL 7B Instruct

Qwen3 235B A22B
Together
DeepInfra
Fireworks
Novita

Qwen2.5 VL 7B Instruct

Qwen3 235B A22B