+
+
+
+
+
+
+
+
VS
VS
VS
VS
VS
VS
Qwen2.5 VL 7B Instruct vs Qwen3 30B A3B
Comprehensive side-by-side LLM comparison
Qwen2.5 VL 7B Instruct supports multimodal inputs. Qwen3 30B A3B is available on 3 providers. Both models have their strengths depending on your specific coding needs.
+
+
+
+
Alibaba Cloud / Qwen Team
Qwen2.5-VL 7B was developed as an efficient vision-language model, designed to provide multimodal understanding with minimal computational requirements. Built with 7 billion parameters for integrated visual and textual processing, it serves applications requiring practical vision-language capabilities with constrained resources.
+
+
+
+
Alibaba Cloud / Qwen Team
Qwen3 30B was created with a mixture-of-experts architecture featuring 30 billion total parameters and 3 billion active parameters. Built to provide strong capabilities with efficient inference through sparse activation, it balances performance with practical computational requirements.
3 months newer
Qwen2.5 VL 7B Instruct
Alibaba Cloud / Qwen Team
2025-01-26
Qwen3 30B A3B
Alibaba Cloud / Qwen Team
2025-04-29
+
+
+
+
+
+
+
+
+
+
+
+
Performance Metrics
Context window and performance specifications
Provider Availability & Performance
Available providers and their performance metrics
+
+
+
+
Qwen2.5 VL 7B Instruct
0 providers
+
+
+
+
Qwen3 30B A3B
3 providers
DeepInfra
+
+
+
+
Qwen2.5 VL 7B Instruct
Avg Score:0.0%
Providers:0
+
+
+
+
Qwen3 30B A3B
Avg Score:0.0%
Providers:3