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Gemini 1.0 Pro vs QvQ-72B-Preview
Comprehensive side-by-side LLM comparison
Gemini 1.0 Pro leads with 21.6% higher average benchmark score. QvQ-72B-Preview supports multimodal inputs. Overall, Gemini 1.0 Pro 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
QvQ-72B-Preview is a multimodal language model developed by Alibaba Cloud / Qwen Team. The model shows competitive results across 4 benchmarks. Notable strengths include MathVista (71.4%), MMMU (70.3%), MathVision (35.9%). As a multimodal model, it can process and understand text, images, and other input formats seamlessly. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Alibaba Cloud / Qwen Team's latest advancement in AI technology.
10 months newer
Gemini 1.0 Pro
2024-02-15
QvQ-72B-Preview
Alibaba Cloud / Qwen Team
2024-12-25
Performance Metrics
Context window and performance specifications
Average performance across 11 common benchmarks
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Gemini 1.0 Pro
Average Score:39.6%(+21.6%)
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QvQ-72B-Preview
Average Score:18.0%
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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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QvQ-72B-Preview
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Gemini 1.0 Pro
Avg Score:39.6%(+21.6%)
Providers:1
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QvQ-72B-Preview
Avg Score:18.0%
Providers:0