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Gemini 1.0 Pro vs Qwen2.5 VL 72B Instruct
Comprehensive side-by-side LLM comparison
Qwen2.5 VL 72B Instruct leads with 42.5% higher average benchmark score. Qwen2.5 VL 72B Instruct supports multimodal inputs. Overall, Qwen2.5 VL 72B Instruct is the stronger choice for coding tasks.
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Gemini 1.0 Pro is a language model developed by Google. The model shows competitive results across 9 benchmarks. Notable strengths include BIG-Bench (75.0%), MMLU (71.8%), WMT23 (71.7%). The model is available through 1 API provider. Released in 2024, it represents Google's latest advancement in AI technology.
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Alibaba Cloud / Qwen Team
Qwen2.5 VL 72B Instruct is a multimodal language model developed by Alibaba Cloud / Qwen Team. It achieves strong performance with an average score of 66.9% across 30 benchmarks. It excels particularly in DocVQA (96.4%), Android Control Low_EM (93.7%), ChartQA (89.5%). As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2025, it represents Alibaba Cloud / Qwen Team's latest advancement in AI technology.
11 months newer
Gemini 1.0 Pro
2024-02-15
Qwen2.5 VL 72B Instruct
Alibaba Cloud / Qwen Team
2025-01-26
Performance Metrics
Context window and performance specifications
Average performance across 37 common benchmarks
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Gemini 1.0 Pro
Average Score:11.8%
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Qwen2.5 VL 72B Instruct
Average Score:54.2%(+42.5%)
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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
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Gemini 1.0 Pro
1 providers
Throughput: 120 tok/s
Latency: 0.4ms
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Qwen2.5 VL 72B Instruct
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Gemini 1.0 Pro
Avg Score:11.8%
Providers:1
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Qwen2.5 VL 72B Instruct
Avg Score:54.2%(+42.5%)
Providers:0