Model Comparison

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

DeepSeek

DeepSeek VL2 Small

DeepSeek

DeepSeek VL2 Small is a multimodal language model developed by DeepSeek. It achieves strong performance with an average score of 69.6% across 14 benchmarks. It excels particularly in DocVQA (92.3%), ChartQA (84.5%), OCRBench (83.4%). As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2024, it represents DeepSeek's latest advancement in AI technology.

Alibaba

Qwen3-235B-A22B-Instruct-2507

Alibaba

Qwen3-235B-A22B-Instruct-2507 is a language model developed by Alibaba. It achieves strong performance with an average score of 72.1% across 25 benchmarks. It excels particularly in ZebraLogic (95.0%), MMLU-Redux (93.1%), IFEval (88.7%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Alibaba's latest advancement in AI technology.

DeepSeek

DeepSeek VL2 Small

DeepSeek

2024-12-13

Alibaba

Qwen3-235B-A22B-Instruct-2507

Alibaba

2025-07-22

7 months newer

Performance comparison across key benchmark categories

DeepSeek

DeepSeek VL2 Small

roleplay
62.9%
general
68.9%
math
+10.5%
60.7%
Alibaba

Qwen3-235B-A22B-Instruct-2507

roleplay
+12.5%
75.4%
general
+4.8%
73.7%
math
50.2%

Provider Availability & Performance

Available providers and their performance metrics

DeepSeek

DeepSeek VL2 Small

0 providers
Alibaba

Qwen3-235B-A22B-Instruct-2507

0 providers
DeepSeek

DeepSeek VL2 Small

Avg Score:0.0%
Providers:0
Alibaba

Qwen3-235B-A22B-Instruct-2507

Avg Score:0.0%
Providers:0