Comprehensive side-by-side LLM comparison
DeepSeek VL2 Tiny leads with 13.5% higher average benchmark score. DeepSeek VL2 Tiny supports multimodal inputs. Qwen3 30B A3B is available on 3 providers. Overall, DeepSeek VL2 Tiny is the stronger choice for coding tasks.
DeepSeek
DeepSeek VL2 Tiny is a multimodal language model developed by DeepSeek. It achieves strong performance with an average score of 63.1% across 14 benchmarks. It excels particularly in DocVQA (88.9%), ChartQA (81.0%), OCRBench (80.9%). 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 Cloud / Qwen Team
Qwen3 30B A3B is a language model developed by Alibaba Cloud / Qwen Team. It achieves strong performance with an average score of 73.3% across 8 benchmarks. It excels particularly in Arena Hard (91.0%), AIME 2024 (80.4%), LiveBench (74.3%). It supports a 256K token context window for handling large documents. The model is available through 3 API providers. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Alibaba Cloud / Qwen Team's latest advancement in AI technology.
4 months newer
DeepSeek VL2 Tiny
DeepSeek
2024-12-13
Qwen3 30B A3B
Alibaba Cloud / Qwen Team
2025-04-29
Context window and performance specifications
Average performance across 22 common benchmarks
DeepSeek VL2 Tiny
Qwen3 30B A3B
Available providers and their performance metrics
DeepSeek VL2 Tiny
Qwen3 30B A3B
DeepInfra
DeepSeek VL2 Tiny
Qwen3 30B A3B
DeepSeek VL2 Tiny
Qwen3 30B A3B
Fireworks
Novita