+
+
+
+
+
+
+
+
VS
VS
VS
VS
VS
VS
Gemini 1.0 Pro vs Qwen2.5 VL 32B Instruct
Comprehensive side-by-side LLM comparison
Qwen2.5 VL 32B Instruct leads with 24.1% higher average benchmark score. Qwen2.5 VL 32B Instruct supports multimodal inputs. Overall, Qwen2.5 VL 32B Instruct is the stronger choice for coding tasks.
+
+
+
+
Gemini 1.0 Pro was developed as Google's initial production-ready multimodal model, designed to handle text and provide strong performance across diverse tasks. Built to serve as a versatile foundation for applications requiring reliable language understanding and generation, it introduced the Gemini architecture to developers and enterprises.
+
+
+
+
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.
1 year newer
Gemini 1.0 Pro
2024-02-15
Qwen2.5 VL 32B Instruct
Alibaba Cloud / Qwen Team
2025-02-28
+
+
+
+
+
+
+
+
+
+
+
+
Performance Metrics
Context window and performance specifications
Average performance across 4 common benchmarks
+
+
+
+
Gemini 1.0 Pro
Average Score:45.1%
+
+
+
+
Qwen2.5 VL 32B Instruct
Average Score:69.2%(+24.1%)
+
+
+
+
Knowledge Cutoff
Training data recency comparison
Gemini 1.0 Pro
2024-02-01
More recent knowledge cutoff means awareness of newer technologies and frameworks
Provider Availability & Performance
Available providers and their performance metrics
+
+
+
+
Gemini 1.0 Pro
1 providers
Throughput: 120 tok/s
Latency: 0.4ms
+
+
+
+
Qwen2.5 VL 32B Instruct
+
+
+
+
Gemini 1.0 Pro
Avg Score:45.1%
Providers:1
+
+
+
+
Qwen2.5 VL 32B Instruct
Avg Score:69.2%(+24.1%)
Providers:0