+
+
+
+
+
+
+
+
VS
VS
VS
VS
VS
VS
Qwen2.5 VL 32B Instruct vs Qwen3-235B-A22B-Thinking-2507
Comprehensive side-by-side LLM comparison
Qwen3-235B-A22B-Thinking-2507 leads with 25.4% higher average benchmark score. Qwen2.5 VL 32B Instruct supports multimodal inputs. Overall, Qwen3-235B-A22B-Thinking-2507 is the stronger choice for coding tasks.
+
+
+
+
Alibaba Cloud / Qwen Team
Qwen2.5-VL 32B was developed as a mid-sized vision-language model, designed to balance multimodal capability with practical deployment considerations. Built with 32 billion parameters for vision and language integration, it serves applications requiring strong visual understanding without flagship-scale resources.
+
+
+
+
Alibaba Cloud / Qwen Team
Qwen3 235B Thinking was developed as a reasoning-enhanced variant, designed to incorporate extended thinking capabilities into the large-scale Qwen3 architecture. Built to combine deliberate analytical processing with mixture-of-experts efficiency, it serves tasks requiring both deep reasoning and computational practicality.
4 months newer
Qwen2.5 VL 32B Instruct
Alibaba Cloud / Qwen Team
2025-02-28
Qwen3-235B-A22B-Thinking-2507
Alibaba Cloud / Qwen Team
2025-07-25
+
+
+
+
+
+
+
+
+
+
+
+
Performance Metrics
Context window and performance specifications
Average performance across 2 common benchmarks
+
+
+
+
Qwen2.5 VL 32B Instruct
Average Score:57.4%
+
+
+
+
Qwen3-235B-A22B-Thinking-2507
Average Score:82.8%(+25.4%)
Provider Availability & Performance
Available providers and their performance metrics
+
+
+
+
Qwen2.5 VL 32B Instruct
0 providers
+
+
+
+
Qwen3-235B-A22B-Thinking-2507
1 providers
Novita
+
+
+
+
Qwen2.5 VL 32B Instruct
Avg Score:57.4%
Providers:0
+
+
+
+
Qwen3-235B-A22B-Thinking-2507
Avg Score:82.8%(+25.4%)
Providers:1