+
+
+
+
+
+
+
+
VS
VS
VS
VS
VS
VS
Qwen2.5 72B Instruct vs Qwen2.5 VL 32B Instruct
Comprehensive side-by-side LLM comparison
Qwen2.5 72B Instruct leads with 1.1% higher average benchmark score. Qwen2.5 VL 32B Instruct supports multimodal inputs. Qwen2.5 72B Instruct is available on 4 providers. Both models have their strengths depending on your specific coding needs.
+
+
+
+
Alibaba Cloud / Qwen Team
Qwen 2.5 72B was developed as the flagship text model in the Qwen 2.5 series, designed to provide advanced language capabilities with 72 billion parameters. Built to compete with frontier models in reasoning, coding, and general language tasks, it represents Qwen's most capable instruction-following model in this generation.
+
+
+
+
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.
5 months newer
Qwen2.5 72B Instruct
Alibaba Cloud / Qwen Team
2024-09-19
Qwen2.5 VL 32B Instruct
Alibaba Cloud / Qwen Team
2025-02-28
+
+
+
+
+
+
+
+
+
+
+
+
Performance Metrics
Context window and performance specifications
Average performance across 5 common benchmarks
+
+
+
+
Qwen2.5 72B Instruct
Average Score:75.6%(+1.1%)
+
+
+
+
Qwen2.5 VL 32B Instruct
Average Score:74.5%
Provider Availability & Performance
Available providers and their performance metrics
+
+
+
+
Qwen2.5 72B Instruct
4 providers
DeepInfra
Throughput: 10 tok/s
Latency: 0.5ms
Fireworks
Throughput: 59 tok/s
Latency: 0.37ms
Hyperbolic
Throughput: 100 tok/s
Latency: 0.5ms
Together
Throughput: 47 tok/s
Latency: 0.5ms
+
+
+
+
Qwen2.5 72B Instruct
Avg Score:75.6%(+1.1%)
Providers:4
+
+
+
+
Qwen2.5 VL 32B Instruct
Avg Score:74.5%
Providers:0